diff --git "a/ProDiff/test_background.log" "b/ProDiff/test_background.log"
new file mode 100644--- /dev/null
+++ "b/ProDiff/test_background.log"
@@ -0,0 +1,1191 @@
+nohup: ignoring input
+=====================================
+ProDiff 训练模型测试启动
+=====================================
+实验名称: trajectory_a40_turbo_optimized
+GPU设备: 0
+采样类型: ddim
+测试Epoch: 50
+模型路径: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850
+日志文件: ./test_logs/test_trajectory_a40_turbo_optimized_epoch50_20250730_161237.log
+启动时间: Wed Jul 30 16:12:37 UTC 2025
+=====================================
+检查GPU状态...
+Wed Jul 30 16:12:37 2025       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 565.57.01              Driver Version: 565.57.01      CUDA Version: 12.7     |
+|-----------------------------------------+------------------------+----------------------+
+| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA A40                     On  |   00000000:53:00.0 Off |                    0 |
+|  0%   45C    P0             59W /  300W |       1MiB /  46068MiB |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+                                                                                         
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|  No running processes found                                                             |
++-----------------------------------------------------------------------------------------+
+开始模型测试...
+Running on device: cuda:0
+[1042520][25-07-30 16:12:39.505 @ main] INFO: Experiment directory: /root/ProDiff/Experiments/trajectory_a40_turbo_optimized_test_TKY_temporal_len32_ddim_20250730-161239
+[1042520][25-07-30 16:12:39.505 @ log_info] INFO: ***********************************
+[1042520][25-07-30 16:12:39.505 @ log_info] INFO: Dataset: TKY_temporal
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Trajectory Length: 32
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Guidance scale: 2
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Number of steps: 500
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_schedule: linear
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_strat: 0.0001
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_end: 0.05
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Epochs: 50
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: batch_size: 2560
+[1042520][25-07-30 16:12:39.506 @ log_info] INFO: ***********************************
+[1042520][25-07-30 16:12:39.506 @ main] INFO: Using sampling type for periodic validation: ddim
+[1042520][25-07-30 16:12:39.506 @ main] INFO: DDIM Steps for validation: 50, Eta for validation: 0.0
+[1042520][25-07-30 16:12:39.506 @ main] INFO: Starting model testing...
+[1042520][25-07-30 16:12:39.506 @ main] INFO: Loading model from: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850
+[1042520][25-07-30 16:12:39.507 @ main] INFO: Using epoch: 50
+
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+[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading diffusion model from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/diffusion_model_epoch_50.pt
+[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading transformer model from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/transformer_epoch_50.pt
+[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading prototypes from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/prototypes_transformer_epoch_50.npy
+[1042520][25-07-30 16:12:40.122 @ test_model] INFO: Testing with sampling_type: ddim for epoch 50
+[1042520][25-07-30 16:12:40.122 @ test_model] INFO: DDIM steps: 50, DDIM eta: 0.0
+
Epoch 50 Test Progress (DDIM):   0%|          | 0/113 [00:00<?, ?it/s][1042520][25-07-30 16:12:40.321 @ test_model] INFO: Batch 0 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:12:40.322 @ test_model] INFO: Input data stats - abs_time: min=1748102400.0000, max=1748421248.0000, lat: min=39.9172, max=39.9414, lng: min=116.4960, max=116.5279
+[1042520][25-07-30 16:12:40.389 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:12:40.566 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:12:40.567 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:12:45.043 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0333, max=0.9136
+[1042520][25-07-30 16:12:45.044 @ test_model] WARNING: Batch 0 - Values outside [0,1] in pred_x0_scaled: min=-0.0333, max=0.9136. Clamping.
+[1042520][25-07-30 16:12:45.046 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:12:45.046 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748478720.0000
+[1042520][25-07-30 16:12:45.046 @ test_model] INFO: ground_truth_np stats: min=39.9172, max=1748421248.0000
+
Epoch 50 Test Progress (DDIM):   1%|          | 1/113 [00:06<11:43,  6.28s/it][1042520][25-07-30 16:12:46.407 @ test_model] INFO: Batch 1 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:12:46.408 @ test_model] INFO: Input data stats - abs_time: min=1748419456.0000, max=1748533120.0000, lat: min=39.9222, max=39.9412, lng: min=116.4961, max=116.5275
+[1042520][25-07-30 16:12:46.409 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:12:46.440 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:12:46.440 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:12:50.668 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0477, max=0.9639
+[1042520][25-07-30 16:12:50.670 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:12:50.670 @ test_model] INFO: pred_x0_np stats: min=39.9205, max=1748609792.0000
+[1042520][25-07-30 16:12:50.670 @ test_model] INFO: ground_truth_np stats: min=39.9222, max=1748533120.0000
+
Epoch 50 Test Progress (DDIM):   2%|▏         | 2/113 [00:11<10:54,  5.89s/it][1042520][25-07-30 16:12:52.026 @ test_model] INFO: Batch 2 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:12:52.026 @ test_model] INFO: Input data stats - abs_time: min=1748531328.0000, max=1748713344.0000, lat: min=39.9170, max=39.9413, lng: min=116.4958, max=116.5278
+[1042520][25-07-30 16:12:52.028 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:12:52.059 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:12:52.059 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:12:56.281 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0214, max=1.0350
+[1042520][25-07-30 16:12:56.282 @ test_model] WARNING: Batch 2 - Values outside [0,1] in pred_x0_scaled: min=-0.0214, max=1.0350. Clamping.
+[1042520][25-07-30 16:12:56.283 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:12:56.283 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:12:56.283 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748713344.0000
+
Epoch 50 Test Progress (DDIM):   3%|▎         | 3/113 [00:17<10:34,  5.77s/it][1042520][25-07-30 16:12:57.640 @ test_model] INFO: Batch 3 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:12:57.640 @ test_model] INFO: Input data stats - abs_time: min=1748084352.0000, max=1748714368.0000, lat: min=39.9163, max=39.9396, lng: min=116.4914, max=116.5272
+[1042520][25-07-30 16:12:57.642 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:12:57.673 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:12:57.673 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:01.898 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0360, max=1.0366
+[1042520][25-07-30 16:13:01.898 @ test_model] WARNING: Batch 3 - Values outside [0,1] in pred_x0_scaled: min=-0.0360, max=1.0366. Clamping.
+[1042520][25-07-30 16:13:01.899 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:01.899 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:13:01.900 @ test_model] INFO: ground_truth_np stats: min=39.9163, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):   4%|▎         | 4/113 [00:23<10:22,  5.71s/it][1042520][25-07-30 16:13:03.261 @ test_model] INFO: Batch 4 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:03.261 @ test_model] INFO: Input data stats - abs_time: min=1748195200.0000, max=1748532096.0000, lat: min=39.9189, max=39.9395, lng: min=116.4965, max=116.5297
+[1042520][25-07-30 16:13:03.263 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:03.294 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:03.294 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:07.519 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0140, max=0.9640
+[1042520][25-07-30 16:13:07.520 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:07.521 @ test_model] INFO: pred_x0_np stats: min=39.9171, max=1748610176.0000
+[1042520][25-07-30 16:13:07.521 @ test_model] INFO: ground_truth_np stats: min=39.9189, max=1748532096.0000
+
Epoch 50 Test Progress (DDIM):   4%|▍         | 5/113 [00:28<10:12,  5.67s/it][1042520][25-07-30 16:13:08.877 @ test_model] INFO: Batch 5 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:08.877 @ test_model] INFO: Input data stats - abs_time: min=1748512768.0000, max=1748714368.0000, lat: min=39.9193, max=39.9403, lng: min=116.5040, max=116.5296
+[1042520][25-07-30 16:13:08.879 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:08.910 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:08.910 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:13.136 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0387, max=1.0340
+[1042520][25-07-30 16:13:13.136 @ test_model] WARNING: Batch 5 - Values outside [0,1] in pred_x0_scaled: min=0.0387, max=1.0340. Clamping.
+[1042520][25-07-30 16:13:13.137 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:13.137 @ test_model] INFO: pred_x0_np stats: min=39.9186, max=1748703744.0000
+[1042520][25-07-30 16:13:13.137 @ test_model] INFO: ground_truth_np stats: min=39.9193, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):   5%|▌         | 6/113 [00:34<10:05,  5.66s/it][1042520][25-07-30 16:13:14.499 @ test_model] INFO: Batch 6 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:14.500 @ test_model] INFO: Input data stats - abs_time: min=1748597120.0000, max=1748710784.0000, lat: min=39.9233, max=39.9396, lng: min=116.5093, max=116.5275
+[1042520][25-07-30 16:13:14.501 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:14.532 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:14.532 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:18.757 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0350, max=1.0338
+[1042520][25-07-30 16:13:18.757 @ test_model] WARNING: Batch 6 - Values outside [0,1] in pred_x0_scaled: min=0.0350, max=1.0338. Clamping.
+[1042520][25-07-30 16:13:18.758 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:18.759 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
+[1042520][25-07-30 16:13:18.759 @ test_model] INFO: ground_truth_np stats: min=39.9233, max=1748710784.0000
+
Epoch 50 Test Progress (DDIM):   6%|▌         | 7/113 [00:39<09:58,  5.64s/it][1042520][25-07-30 16:13:20.114 @ test_model] INFO: Batch 7 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:20.115 @ test_model] INFO: Input data stats - abs_time: min=1747918848.0000, max=1748714368.0000, lat: min=39.9180, max=40.0091, lng: min=116.4944, max=116.5750
+[1042520][25-07-30 16:13:20.117 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:20.148 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:20.148 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:24.379 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-1279.9060, max=1558.4124
+[1042520][25-07-30 16:13:24.379 @ test_model] WARNING: Batch 7 - Values outside [0,1] in pred_x0_scaled: min=-1279.9060, max=1558.4124. Clamping.
+[1042520][25-07-30 16:13:24.380 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:24.380 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:13:24.380 @ test_model] INFO: ground_truth_np stats: min=39.9180, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):   7%|▋         | 8/113 [00:45<09:51,  5.64s/it][1042520][25-07-30 16:13:25.738 @ test_model] INFO: Batch 8 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:25.738 @ test_model] INFO: Input data stats - abs_time: min=1748181888.0000, max=1748450304.0000, lat: min=39.9170, max=40.0091, lng: min=116.4915, max=116.5719
+[1042520][25-07-30 16:13:25.740 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:25.771 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:25.771 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:30.001 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-10.4921, max=9.1439
+[1042520][25-07-30 16:13:30.002 @ test_model] WARNING: Batch 8 - Values outside [0,1] in pred_x0_scaled: min=-10.4921, max=9.1439. Clamping.
+[1042520][25-07-30 16:13:30.004 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:30.004 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:13:30.004 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748450304.0000
+
Epoch 50 Test Progress (DDIM):   8%|▊         | 9/113 [00:51<09:54,  5.72s/it][1042520][25-07-30 16:13:31.634 @ test_model] INFO: Batch 9 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:31.635 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9162, max=39.9410, lng: min=116.4992, max=116.5477
+[1042520][25-07-30 16:13:31.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:31.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:31.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:35.908 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0000, max=1.0391
+[1042520][25-07-30 16:13:35.909 @ test_model] WARNING: Batch 9 - Values outside [0,1] in pred_x0_scaled: min=0.0000, max=1.0391. Clamping.
+[1042520][25-07-30 16:13:35.910 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:35.911 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:13:35.911 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):   9%|▉         | 10/113 [00:57<09:46,  5.70s/it][1042520][25-07-30 16:13:37.281 @ test_model] INFO: Batch 10 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:37.282 @ test_model] INFO: Input data stats - abs_time: min=1748195072.0000, max=1748427520.0000, lat: min=39.9230, max=39.9397, lng: min=116.5020, max=116.5273
+[1042520][25-07-30 16:13:37.284 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:37.315 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:37.316 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:41.546 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0799, max=0.9233
+[1042520][25-07-30 16:13:41.548 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:41.549 @ test_model] INFO: pred_x0_np stats: min=39.9212, max=1748504064.0000
+[1042520][25-07-30 16:13:41.549 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748427520.0000
+
Epoch 50 Test Progress (DDIM):  10%|▉         | 11/113 [01:03<09:46,  5.75s/it][1042520][25-07-30 16:13:43.147 @ test_model] INFO: Batch 11 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:43.147 @ test_model] INFO: Input data stats - abs_time: min=1748425728.0000, max=1748539264.0000, lat: min=39.9200, max=39.9399, lng: min=116.4943, max=116.5274
+[1042520][25-07-30 16:13:43.149 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:43.180 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:43.181 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:47.456 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0063, max=0.9693
+[1042520][25-07-30 16:13:47.460 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:47.460 @ test_model] INFO: pred_x0_np stats: min=39.9167, max=1748623872.0000
+[1042520][25-07-30 16:13:47.460 @ test_model] INFO: ground_truth_np stats: min=39.9200, max=1748539264.0000
+
Epoch 50 Test Progress (DDIM):  11%|█         | 12/113 [01:08<09:38,  5.72s/it][1042520][25-07-30 16:13:48.820 @ test_model] INFO: Batch 12 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:48.821 @ test_model] INFO: Input data stats - abs_time: min=1748537472.0000, max=1748701568.0000, lat: min=39.9230, max=39.9405, lng: min=116.5018, max=116.5275
+[1042520][25-07-30 16:13:48.824 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:48.856 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:48.856 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:53.084 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0818, max=1.0311
+[1042520][25-07-30 16:13:53.085 @ test_model] WARNING: Batch 12 - Values outside [0,1] in pred_x0_scaled: min=0.0818, max=1.0311. Clamping.
+[1042520][25-07-30 16:13:53.086 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:53.086 @ test_model] INFO: pred_x0_np stats: min=39.9211, max=1748703744.0000
+[1042520][25-07-30 16:13:53.086 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748701568.0000
+
Epoch 50 Test Progress (DDIM):  12%|█▏        | 13/113 [01:14<09:33,  5.73s/it][1042520][25-07-30 16:13:54.561 @ test_model] INFO: Batch 13 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:13:54.562 @ test_model] INFO: Input data stats - abs_time: min=1747659648.0000, max=1748714368.0000, lat: min=39.9230, max=39.9398, lng: min=116.5020, max=116.5276
+[1042520][25-07-30 16:13:54.564 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:13:54.595 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:13:54.595 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:13:58.857 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1019, max=1.0390
+[1042520][25-07-30 16:13:58.858 @ test_model] WARNING: Batch 13 - Values outside [0,1] in pred_x0_scaled: min=0.1019, max=1.0390. Clamping.
+[1042520][25-07-30 16:13:58.859 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:13:58.859 @ test_model] INFO: pred_x0_np stats: min=39.9223, max=1748703744.0000
+[1042520][25-07-30 16:13:58.859 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  12%|█▏        | 14/113 [01:20<09:24,  5.71s/it][1042520][25-07-30 16:14:00.208 @ test_model] INFO: Batch 14 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:00.209 @ test_model] INFO: Input data stats - abs_time: min=1747758720.0000, max=1748368768.0000, lat: min=39.9246, max=39.9397, lng: min=116.5017, max=116.5271
+[1042520][25-07-30 16:14:00.210 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:00.241 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:00.241 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:04.467 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0762, max=0.9049
+[1042520][25-07-30 16:14:04.469 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:04.469 @ test_model] INFO: pred_x0_np stats: min=39.9219, max=1748456192.0000
+[1042520][25-07-30 16:14:04.469 @ test_model] INFO: ground_truth_np stats: min=39.9246, max=1748368768.0000
+
Epoch 50 Test Progress (DDIM):  13%|█▎        | 15/113 [01:25<09:16,  5.68s/it][1042520][25-07-30 16:14:05.820 @ test_model] INFO: Batch 15 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:05.821 @ test_model] INFO: Input data stats - abs_time: min=1748189184.0000, max=1748353152.0000, lat: min=39.9247, max=39.9414, lng: min=116.5019, max=116.5273
+[1042520][25-07-30 16:14:05.823 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:05.854 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:05.854 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:10.081 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0781, max=0.8965
+[1042520][25-07-30 16:14:10.082 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:10.082 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748434176.0000
+[1042520][25-07-30 16:14:10.082 @ test_model] INFO: ground_truth_np stats: min=39.9247, max=1748353152.0000
+
Epoch 50 Test Progress (DDIM):  14%|█▍        | 16/113 [01:31<09:08,  5.66s/it][1042520][25-07-30 16:14:11.429 @ test_model] INFO: Batch 16 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:11.430 @ test_model] INFO: Input data stats - abs_time: min=1748351360.0000, max=1748515456.0000, lat: min=39.9206, max=39.9398, lng: min=116.5020, max=116.5276
+[1042520][25-07-30 16:14:11.432 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:11.463 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:11.463 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:15.688 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0411, max=0.9668
+[1042520][25-07-30 16:14:15.690 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:15.690 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748617216.0000
+[1042520][25-07-30 16:14:15.690 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748515456.0000
+
Epoch 50 Test Progress (DDIM):  15%|█▌        | 17/113 [01:36<09:01,  5.64s/it][1042520][25-07-30 16:14:17.040 @ test_model] INFO: Batch 17 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:17.041 @ test_model] INFO: Input data stats - abs_time: min=1748513664.0000, max=1748713728.0000, lat: min=39.9207, max=39.9398, lng: min=116.5099, max=116.5276
+[1042520][25-07-30 16:14:17.042 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:17.073 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:17.073 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:21.300 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0051, max=1.0344
+[1042520][25-07-30 16:14:21.301 @ test_model] WARNING: Batch 17 - Values outside [0,1] in pred_x0_scaled: min=-0.0051, max=1.0344. Clamping.
+[1042520][25-07-30 16:14:21.302 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:21.302 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:14:21.302 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748713728.0000
+
Epoch 50 Test Progress (DDIM):  16%|█▌        | 18/113 [01:42<08:54,  5.63s/it][1042520][25-07-30 16:14:22.642 @ test_model] INFO: Batch 18 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:22.643 @ test_model] INFO: Input data stats - abs_time: min=1748181632.0000, max=1748714368.0000, lat: min=39.9170, max=39.9399, lng: min=116.4959, max=116.5296
+[1042520][25-07-30 16:14:22.644 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:22.675 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:22.675 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:26.899 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0034, max=1.0215
+[1042520][25-07-30 16:14:26.900 @ test_model] WARNING: Batch 18 - Values outside [0,1] in pred_x0_scaled: min=-0.0034, max=1.0215. Clamping.
+[1042520][25-07-30 16:14:26.901 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:26.901 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:14:26.901 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  17%|█▋        | 19/113 [01:48<08:48,  5.63s/it][1042520][25-07-30 16:14:28.263 @ test_model] INFO: Batch 19 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:28.264 @ test_model] INFO: Input data stats - abs_time: min=1748361216.0000, max=1748593664.0000, lat: min=39.9268, max=39.9398, lng: min=116.4960, max=116.5276
+[1042520][25-07-30 16:14:28.265 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:28.296 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:28.296 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:32.522 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0572, max=0.9942
+[1042520][25-07-30 16:14:32.524 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:32.524 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748688512.0000
+[1042520][25-07-30 16:14:32.524 @ test_model] INFO: ground_truth_np stats: min=39.9268, max=1748593664.0000
+
Epoch 50 Test Progress (DDIM):  18%|█▊        | 20/113 [01:53<08:42,  5.62s/it][1042520][25-07-30 16:14:33.867 @ test_model] INFO: Batch 20 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:33.868 @ test_model] INFO: Input data stats - abs_time: min=1748523392.0000, max=1748705408.0000, lat: min=39.9173, max=39.9398, lng: min=116.4968, max=116.5276
+[1042520][25-07-30 16:14:33.869 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:33.900 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:33.900 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:38.124 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0023, max=1.0407
+[1042520][25-07-30 16:14:38.124 @ test_model] WARNING: Batch 20 - Values outside [0,1] in pred_x0_scaled: min=0.0023, max=1.0407. Clamping.
+[1042520][25-07-30 16:14:38.125 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:38.125 @ test_model] INFO: pred_x0_np stats: min=39.9164, max=1748703744.0000
+[1042520][25-07-30 16:14:38.125 @ test_model] INFO: ground_truth_np stats: min=39.9173, max=1748705408.0000
+
Epoch 50 Test Progress (DDIM):  19%|█▊        | 21/113 [01:59<08:37,  5.62s/it][1042520][25-07-30 16:14:39.492 @ test_model] INFO: Batch 21 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:39.493 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9207, max=39.9411, lng: min=116.4997, max=116.5276
+[1042520][25-07-30 16:14:39.494 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:39.525 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:39.526 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:43.752 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0393, max=1.0387
+[1042520][25-07-30 16:14:43.753 @ test_model] WARNING: Batch 21 - Values outside [0,1] in pred_x0_scaled: min=0.0393, max=1.0387. Clamping.
+[1042520][25-07-30 16:14:43.754 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:43.754 @ test_model] INFO: pred_x0_np stats: min=39.9186, max=1748703744.0000
+[1042520][25-07-30 16:14:43.754 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  19%|█▉        | 22/113 [02:04<08:31,  5.62s/it][1042520][25-07-30 16:14:45.096 @ test_model] INFO: Batch 22 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:45.097 @ test_model] INFO: Input data stats - abs_time: min=1748277376.0000, max=1748441344.0000, lat: min=39.9207, max=39.9411, lng: min=116.4964, max=116.5272
+[1042520][25-07-30 16:14:45.098 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:45.129 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:45.129 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:49.352 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0498, max=0.9318
+[1042520][25-07-30 16:14:49.353 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:49.353 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748526336.0000
+[1042520][25-07-30 16:14:49.353 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748441344.0000
+
Epoch 50 Test Progress (DDIM):  20%|██        | 23/113 [02:10<08:24,  5.61s/it][1042520][25-07-30 16:14:50.693 @ test_model] INFO: Batch 23 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:50.693 @ test_model] INFO: Input data stats - abs_time: min=1748439552.0000, max=1748603648.0000, lat: min=39.9207, max=39.9411, lng: min=116.5018, max=116.5276
+[1042520][25-07-30 16:14:50.695 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:50.726 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:50.726 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:14:54.952 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0407, max=0.9941
+[1042520][25-07-30 16:14:54.953 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:14:54.953 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748688256.0000
+[1042520][25-07-30 16:14:54.953 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748603648.0000
+
Epoch 50 Test Progress (DDIM):  21%|██        | 24/113 [02:16<08:19,  5.61s/it][1042520][25-07-30 16:14:56.295 @ test_model] INFO: Batch 24 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:14:56.296 @ test_model] INFO: Input data stats - abs_time: min=1748185216.0000, max=1748714368.0000, lat: min=39.9209, max=39.9414, lng: min=116.4901, max=116.5275
+[1042520][25-07-30 16:14:56.297 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:14:56.328 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:14:56.328 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:00.550 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0385, max=1.0352
+[1042520][25-07-30 16:15:00.550 @ test_model] WARNING: Batch 24 - Values outside [0,1] in pred_x0_scaled: min=0.0385, max=1.0352. Clamping.
+[1042520][25-07-30 16:15:00.551 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:00.551 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
+[1042520][25-07-30 16:15:00.551 @ test_model] INFO: ground_truth_np stats: min=39.9209, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  22%|██▏       | 25/113 [02:21<08:13,  5.60s/it][1042520][25-07-30 16:15:01.892 @ test_model] INFO: Batch 25 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:01.893 @ test_model] INFO: Input data stats - abs_time: min=1748254720.0000, max=1748454784.0000, lat: min=39.9267, max=39.9413, lng: min=116.4901, max=116.5306
+[1042520][25-07-30 16:15:01.894 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:01.925 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:01.925 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:06.150 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0345, max=0.9346
+[1042520][25-07-30 16:15:06.151 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:06.151 @ test_model] INFO: pred_x0_np stats: min=39.9240, max=1748533504.0000
+[1042520][25-07-30 16:15:06.151 @ test_model] INFO: ground_truth_np stats: min=39.9267, max=1748454784.0000
+
Epoch 50 Test Progress (DDIM):  23%|██▎       | 26/113 [02:27<08:08,  5.61s/it][1042520][25-07-30 16:15:07.524 @ test_model] INFO: Batch 26 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:07.524 @ test_model] INFO: Input data stats - abs_time: min=1748452992.0000, max=1748616960.0000, lat: min=39.9263, max=39.9430, lng: min=116.4889, max=116.5328
+[1042520][25-07-30 16:15:07.526 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:07.557 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:07.557 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:11.782 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0300, max=1.0080
+[1042520][25-07-30 16:15:11.783 @ test_model] WARNING: Batch 26 - Values outside [0,1] in pred_x0_scaled: min=0.0300, max=1.0080. Clamping.
+[1042520][25-07-30 16:15:11.784 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:11.784 @ test_model] INFO: pred_x0_np stats: min=39.9241, max=1748703744.0000
+[1042520][25-07-30 16:15:11.784 @ test_model] INFO: ground_truth_np stats: min=39.9263, max=1748616960.0000
+
Epoch 50 Test Progress (DDIM):  24%|██▍       | 27/113 [02:33<08:02,  5.61s/it][1042520][25-07-30 16:15:13.130 @ test_model] INFO: Batch 27 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:13.130 @ test_model] INFO: Input data stats - abs_time: min=1748098816.0000, max=1748714368.0000, lat: min=39.9192, max=39.9425, lng: min=116.4912, max=116.5308
+[1042520][25-07-30 16:15:13.132 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:13.163 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:13.163 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:17.394 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0437, max=1.0342
+[1042520][25-07-30 16:15:17.395 @ test_model] WARNING: Batch 27 - Values outside [0,1] in pred_x0_scaled: min=0.0437, max=1.0342. Clamping.
+[1042520][25-07-30 16:15:17.395 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:17.396 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
+[1042520][25-07-30 16:15:17.396 @ test_model] INFO: ground_truth_np stats: min=39.9192, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  25%|██▍       | 28/113 [02:38<07:57,  5.61s/it][1042520][25-07-30 16:15:18.747 @ test_model] INFO: Batch 28 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:18.748 @ test_model] INFO: Input data stats - abs_time: min=1748163712.0000, max=1748345728.0000, lat: min=39.9257, max=39.9396, lng: min=116.5135, max=116.5274
+[1042520][25-07-30 16:15:18.749 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:18.780 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:18.780 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:23.002 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1193, max=0.8904
+[1042520][25-07-30 16:15:23.003 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:23.003 @ test_model] INFO: pred_x0_np stats: min=39.9233, max=1748418560.0000
+[1042520][25-07-30 16:15:23.004 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748345728.0000
+
Epoch 50 Test Progress (DDIM):  26%|██▌       | 29/113 [02:44<07:51,  5.61s/it][1042520][25-07-30 16:15:24.354 @ test_model] INFO: Batch 29 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:24.354 @ test_model] INFO: Input data stats - abs_time: min=1748343936.0000, max=1748594432.0000, lat: min=39.9284, max=39.9413, lng: min=116.5135, max=116.5296
+[1042520][25-07-30 16:15:24.355 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:24.386 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:24.386 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:28.607 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1378, max=0.9860
+[1042520][25-07-30 16:15:28.608 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:28.609 @ test_model] INFO: pred_x0_np stats: min=39.9262, max=1748667264.0000
+[1042520][25-07-30 16:15:28.609 @ test_model] INFO: ground_truth_np stats: min=39.9284, max=1748594432.0000
+
Epoch 50 Test Progress (DDIM):  27%|██▋       | 30/113 [02:49<07:45,  5.61s/it][1042520][25-07-30 16:15:29.957 @ test_model] INFO: Batch 30 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:29.958 @ test_model] INFO: Input data stats - abs_time: min=1747756800.0000, max=1748714368.0000, lat: min=39.9257, max=39.9414, lng: min=116.4946, max=116.5274
+[1042520][25-07-30 16:15:29.959 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:29.990 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:29.990 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:34.210 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0563, max=1.0398
+[1042520][25-07-30 16:15:34.210 @ test_model] WARNING: Batch 30 - Values outside [0,1] in pred_x0_scaled: min=0.0563, max=1.0398. Clamping.
+[1042520][25-07-30 16:15:34.211 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:34.211 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748703744.0000
+[1042520][25-07-30 16:15:34.212 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  27%|██▋       | 31/113 [02:55<07:40,  5.61s/it][1042520][25-07-30 16:15:35.577 @ test_model] INFO: Batch 31 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:35.578 @ test_model] INFO: Input data stats - abs_time: min=1747835136.0000, max=1748017152.0000, lat: min=39.9301, max=39.9404, lng: min=116.4902, max=116.5274
+[1042520][25-07-30 16:15:35.579 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:35.610 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:35.610 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:39.833 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0256, max=0.7722
+[1042520][25-07-30 16:15:39.834 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:39.834 @ test_model] INFO: pred_x0_np stats: min=39.9274, max=1748110848.0000
+[1042520][25-07-30 16:15:39.834 @ test_model] INFO: ground_truth_np stats: min=39.9301, max=1748017152.0000
+
Epoch 50 Test Progress (DDIM):  28%|██▊       | 32/113 [03:01<07:34,  5.61s/it][1042520][25-07-30 16:15:41.197 @ test_model] INFO: Batch 32 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:41.197 @ test_model] INFO: Input data stats - abs_time: min=1748015360.0000, max=1748438528.0000, lat: min=39.9300, max=39.9405, lng: min=116.4928, max=116.5274
+[1042520][25-07-30 16:15:41.199 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:41.230 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:41.230 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:45.450 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0550, max=0.9166
+[1042520][25-07-30 16:15:45.450 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:45.451 @ test_model] INFO: pred_x0_np stats: min=39.9235, max=1748486656.0000
+[1042520][25-07-30 16:15:45.451 @ test_model] INFO: ground_truth_np stats: min=39.9300, max=1748438528.0000
+
Epoch 50 Test Progress (DDIM):  29%|██▉       | 33/113 [03:06<07:28,  5.61s/it][1042520][25-07-30 16:15:46.794 @ test_model] INFO: Batch 33 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:46.795 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748627968.0000, lat: min=39.9177, max=39.9408, lng: min=116.4961, max=116.5275
+[1042520][25-07-30 16:15:46.796 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:46.827 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:46.827 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:51.050 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0048, max=1.0042
+[1042520][25-07-30 16:15:51.051 @ test_model] WARNING: Batch 33 - Values outside [0,1] in pred_x0_scaled: min=-0.0048, max=1.0042. Clamping.
+[1042520][25-07-30 16:15:51.052 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:51.052 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:15:51.052 @ test_model] INFO: ground_truth_np stats: min=39.9177, max=1748627968.0000
+
Epoch 50 Test Progress (DDIM):  30%|███       | 34/113 [03:12<07:23,  5.61s/it][1042520][25-07-30 16:15:52.403 @ test_model] INFO: Batch 34 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:52.403 @ test_model] INFO: Input data stats - abs_time: min=1748276864.0000, max=1748440960.0000, lat: min=39.9162, max=39.9396, lng: min=116.4961, max=116.5274
+[1042520][25-07-30 16:15:52.405 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:52.435 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:52.436 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:15:56.661 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0174, max=0.9326
+[1042520][25-07-30 16:15:56.661 @ test_model] WARNING: Batch 34 - Values outside [0,1] in pred_x0_scaled: min=-0.0174, max=0.9326. Clamping.
+[1042520][25-07-30 16:15:56.662 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:15:56.662 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748528256.0000
+[1042520][25-07-30 16:15:56.662 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748440960.0000
+
Epoch 50 Test Progress (DDIM):  31%|███       | 35/113 [03:17<07:17,  5.61s/it][1042520][25-07-30 16:15:58.005 @ test_model] INFO: Batch 35 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:15:58.006 @ test_model] INFO: Input data stats - abs_time: min=1748439168.0000, max=1748603136.0000, lat: min=39.9161, max=39.9426, lng: min=116.4961, max=116.5281
+[1042520][25-07-30 16:15:58.007 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:15:58.038 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:15:58.038 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:02.259 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0374, max=0.9934
+[1042520][25-07-30 16:16:02.260 @ test_model] WARNING: Batch 35 - Values outside [0,1] in pred_x0_scaled: min=-0.0374, max=0.9934. Clamping.
+[1042520][25-07-30 16:16:02.261 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:02.261 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748686464.0000
+[1042520][25-07-30 16:16:02.261 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748603136.0000
+
Epoch 50 Test Progress (DDIM):  32%|███▏      | 36/113 [03:23<07:11,  5.61s/it][1042520][25-07-30 16:16:03.613 @ test_model] INFO: Batch 36 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:03.614 @ test_model] INFO: Input data stats - abs_time: min=1748257152.0000, max=1748714368.0000, lat: min=39.9177, max=39.9397, lng: min=116.4955, max=116.5275
+[1042520][25-07-30 16:16:03.615 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:03.646 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:03.647 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:07.979 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0094, max=1.0390
+[1042520][25-07-30 16:16:07.979 @ test_model] WARNING: Batch 36 - Values outside [0,1] in pred_x0_scaled: min=-0.0094, max=1.0390. Clamping.
+[1042520][25-07-30 16:16:07.980 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:07.980 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:16:07.980 @ test_model] INFO: ground_truth_np stats: min=39.9177, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  33%|███▎      | 37/113 [03:29<07:08,  5.64s/it][1042520][25-07-30 16:16:09.326 @ test_model] INFO: Batch 37 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:09.326 @ test_model] INFO: Input data stats - abs_time: min=1748257920.0000, max=1748594688.0000, lat: min=39.9227, max=39.9397, lng: min=116.5135, max=116.5276
+[1042520][25-07-30 16:16:09.328 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:09.359 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:09.359 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:13.580 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0423, max=0.9810
+[1042520][25-07-30 16:16:13.581 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:13.581 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748654336.0000
+[1042520][25-07-30 16:16:13.581 @ test_model] INFO: ground_truth_np stats: min=39.9227, max=1748594688.0000
+
Epoch 50 Test Progress (DDIM):  34%|███▎      | 38/113 [03:34<07:01,  5.63s/it][1042520][25-07-30 16:16:14.924 @ test_model] INFO: Batch 38 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:14.924 @ test_model] INFO: Input data stats - abs_time: min=1748592896.0000, max=1748706560.0000, lat: min=39.9216, max=39.9403, lng: min=116.5132, max=116.5274
+[1042520][25-07-30 16:16:14.926 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:14.957 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:14.957 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:19.241 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0569, max=1.0358
+[1042520][25-07-30 16:16:19.241 @ test_model] WARNING: Batch 38 - Values outside [0,1] in pred_x0_scaled: min=0.0569, max=1.0358. Clamping.
+[1042520][25-07-30 16:16:19.242 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:19.242 @ test_model] INFO: pred_x0_np stats: min=39.9196, max=1748703744.0000
+[1042520][25-07-30 16:16:19.242 @ test_model] INFO: ground_truth_np stats: min=39.9216, max=1748706560.0000
+
Epoch 50 Test Progress (DDIM):  35%|███▍      | 39/113 [03:40<06:57,  5.64s/it][1042520][25-07-30 16:16:20.585 @ test_model] INFO: Batch 39 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:20.586 @ test_model] INFO: Input data stats - abs_time: min=1748275200.0000, max=1748714368.0000, lat: min=39.9240, max=39.9398, lng: min=116.5037, max=116.5274
+[1042520][25-07-30 16:16:20.587 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:20.618 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:20.618 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:24.841 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0762, max=1.0306
+[1042520][25-07-30 16:16:24.842 @ test_model] WARNING: Batch 39 - Values outside [0,1] in pred_x0_scaled: min=0.0762, max=1.0306. Clamping.
+[1042520][25-07-30 16:16:24.843 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:24.843 @ test_model] INFO: pred_x0_np stats: min=39.9208, max=1748703744.0000
+[1042520][25-07-30 16:16:24.843 @ test_model] INFO: ground_truth_np stats: min=39.9240, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  35%|███▌      | 40/113 [03:46<06:50,  5.63s/it][1042520][25-07-30 16:16:26.189 @ test_model] INFO: Batch 40 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:26.189 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748714368.0000, lat: min=39.9296, max=39.9400, lng: min=116.5026, max=116.5276
+[1042520][25-07-30 16:16:26.190 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:26.221 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:26.221 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:30.505 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0904, max=1.0350
+[1042520][25-07-30 16:16:30.506 @ test_model] WARNING: Batch 40 - Values outside [0,1] in pred_x0_scaled: min=0.0904, max=1.0350. Clamping.
+[1042520][25-07-30 16:16:30.506 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:30.507 @ test_model] INFO: pred_x0_np stats: min=39.9283, max=1748703744.0000
+[1042520][25-07-30 16:16:30.507 @ test_model] INFO: ground_truth_np stats: min=39.9296, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  36%|███▋      | 41/113 [03:51<06:45,  5.64s/it][1042520][25-07-30 16:16:31.853 @ test_model] INFO: Batch 41 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:31.853 @ test_model] INFO: Input data stats - abs_time: min=1748190592.0000, max=1748354560.0000, lat: min=39.9166, max=39.9401, lng: min=116.4897, max=116.5278
+[1042520][25-07-30 16:16:31.854 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:31.885 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:31.885 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:36.110 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0159, max=0.8957
+[1042520][25-07-30 16:16:36.111 @ test_model] WARNING: Batch 41 - Values outside [0,1] in pred_x0_scaled: min=-0.0159, max=0.8957. Clamping.
+[1042520][25-07-30 16:16:36.111 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:36.112 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748432256.0000
+[1042520][25-07-30 16:16:36.112 @ test_model] INFO: ground_truth_np stats: min=39.9166, max=1748354560.0000
+
Epoch 50 Test Progress (DDIM):  37%|███▋      | 42/113 [03:57<06:39,  5.63s/it][1042520][25-07-30 16:16:37.454 @ test_model] INFO: Batch 42 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:37.454 @ test_model] INFO: Input data stats - abs_time: min=1748352768.0000, max=1748516864.0000, lat: min=39.9167, max=39.9413, lng: min=116.4908, max=116.5279
+[1042520][25-07-30 16:16:37.456 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:37.487 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:37.487 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:41.790 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0013, max=0.9562
+[1042520][25-07-30 16:16:41.790 @ test_model] WARNING: Batch 42 - Values outside [0,1] in pred_x0_scaled: min=-0.0013, max=0.9562. Clamping.
+[1042520][25-07-30 16:16:41.791 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:41.791 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748589568.0000
+[1042520][25-07-30 16:16:41.791 @ test_model] INFO: ground_truth_np stats: min=39.9167, max=1748516864.0000
+
Epoch 50 Test Progress (DDIM):  38%|███▊      | 43/113 [04:03<06:35,  5.65s/it][1042520][25-07-30 16:16:43.146 @ test_model] INFO: Batch 43 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:43.146 @ test_model] INFO: Input data stats - abs_time: min=1748515072.0000, max=1748679040.0000, lat: min=39.9201, max=39.9397, lng: min=116.4906, max=116.5297
+[1042520][25-07-30 16:16:43.148 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:43.178 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:43.179 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:47.400 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0169, max=1.0073
+[1042520][25-07-30 16:16:47.400 @ test_model] WARNING: Batch 43 - Values outside [0,1] in pred_x0_scaled: min=0.0169, max=1.0073. Clamping.
+[1042520][25-07-30 16:16:47.401 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:47.401 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
+[1042520][25-07-30 16:16:47.401 @ test_model] INFO: ground_truth_np stats: min=39.9201, max=1748679040.0000
+
Epoch 50 Test Progress (DDIM):  39%|███▉      | 44/113 [04:08<06:28,  5.63s/it][1042520][25-07-30 16:16:48.748 @ test_model] INFO: Batch 44 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:48.749 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748714368.0000, lat: min=39.9152, max=39.9396, lng: min=116.4894, max=116.5272
+[1042520][25-07-30 16:16:48.750 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:48.781 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:48.781 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:53.061 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0205, max=1.0332
+[1042520][25-07-30 16:16:53.061 @ test_model] WARNING: Batch 44 - Values outside [0,1] in pred_x0_scaled: min=-0.0205, max=1.0332. Clamping.
+[1042520][25-07-30 16:16:53.062 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:53.062 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:16:53.062 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  40%|███▉      | 45/113 [04:14<06:23,  5.64s/it][1042520][25-07-30 16:16:54.419 @ test_model] INFO: Batch 45 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:16:54.419 @ test_model] INFO: Input data stats - abs_time: min=1748265344.0000, max=1748429440.0000, lat: min=39.9282, max=39.9398, lng: min=116.4988, max=116.5275
+[1042520][25-07-30 16:16:54.421 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:16:54.452 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:16:54.452 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:16:58.675 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0682, max=0.9236
+[1042520][25-07-30 16:16:58.676 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:16:58.677 @ test_model] INFO: pred_x0_np stats: min=39.9240, max=1748504832.0000
+[1042520][25-07-30 16:16:58.677 @ test_model] INFO: ground_truth_np stats: min=39.9282, max=1748429440.0000
+
Epoch 50 Test Progress (DDIM):  41%|████      | 46/113 [04:19<06:17,  5.63s/it][1042520][25-07-30 16:17:00.030 @ test_model] INFO: Batch 46 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:00.030 @ test_model] INFO: Input data stats - abs_time: min=1748427648.0000, max=1748541184.0000, lat: min=39.9279, max=39.9397, lng: min=116.4986, max=116.5275
+[1042520][25-07-30 16:17:00.032 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:00.063 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:00.063 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:04.372 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0741, max=0.9686
+[1042520][25-07-30 16:17:04.373 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:04.373 @ test_model] INFO: pred_x0_np stats: min=39.9255, max=1748621952.0000
+[1042520][25-07-30 16:17:04.373 @ test_model] INFO: ground_truth_np stats: min=39.9279, max=1748541184.0000
+
Epoch 50 Test Progress (DDIM):  42%|████▏     | 47/113 [04:25<06:13,  5.65s/it][1042520][25-07-30 16:17:05.722 @ test_model] INFO: Batch 47 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:05.723 @ test_model] INFO: Input data stats - abs_time: min=1748539392.0000, max=1748703488.0000, lat: min=39.9282, max=39.9397, lng: min=116.4987, max=116.5275
+[1042520][25-07-30 16:17:05.724 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:05.755 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:05.755 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:09.976 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0708, max=1.0330
+[1042520][25-07-30 16:17:09.976 @ test_model] WARNING: Batch 47 - Values outside [0,1] in pred_x0_scaled: min=0.0708, max=1.0330. Clamping.
+[1042520][25-07-30 16:17:09.977 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:09.977 @ test_model] INFO: pred_x0_np stats: min=39.9251, max=1748703744.0000
+[1042520][25-07-30 16:17:09.977 @ test_model] INFO: ground_truth_np stats: min=39.9282, max=1748703488.0000
+
Epoch 50 Test Progress (DDIM):  42%|████▏     | 48/113 [04:31<06:06,  5.64s/it][1042520][25-07-30 16:17:11.328 @ test_model] INFO: Batch 48 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:11.328 @ test_model] INFO: Input data stats - abs_time: min=1748339968.0000, max=1748714368.0000, lat: min=39.9232, max=39.9397, lng: min=116.4961, max=116.5275
+[1042520][25-07-30 16:17:11.329 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:11.360 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:11.360 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:15.663 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0489, max=1.0360
+[1042520][25-07-30 16:17:15.664 @ test_model] WARNING: Batch 48 - Values outside [0,1] in pred_x0_scaled: min=0.0489, max=1.0360. Clamping.
+[1042520][25-07-30 16:17:15.665 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:15.665 @ test_model] INFO: pred_x0_np stats: min=39.9225, max=1748703744.0000
+[1042520][25-07-30 16:17:15.665 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  43%|████▎     | 49/113 [04:36<06:01,  5.65s/it][1042520][25-07-30 16:17:17.016 @ test_model] INFO: Batch 49 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:17.016 @ test_model] INFO: Input data stats - abs_time: min=1748440960.0000, max=1748605056.0000, lat: min=39.9232, max=39.9396, lng: min=116.4960, max=116.5275
+[1042520][25-07-30 16:17:17.018 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:17.048 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:17.048 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:21.271 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0384, max=1.0012
+[1042520][25-07-30 16:17:21.271 @ test_model] WARNING: Batch 49 - Values outside [0,1] in pred_x0_scaled: min=0.0384, max=1.0012. Clamping.
+[1042520][25-07-30 16:17:21.272 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:21.272 @ test_model] INFO: pred_x0_np stats: min=39.9210, max=1748703744.0000
+[1042520][25-07-30 16:17:21.273 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748605056.0000
+
Epoch 50 Test Progress (DDIM):  44%|████▍     | 50/113 [04:42<05:55,  5.64s/it][1042520][25-07-30 16:17:22.638 @ test_model] INFO: Batch 50 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:22.639 @ test_model] INFO: Input data stats - abs_time: min=1748268032.0000, max=1748714368.0000, lat: min=39.9257, max=39.9398, lng: min=116.4974, max=116.5274
+[1042520][25-07-30 16:17:22.640 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:22.671 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:22.671 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:26.959 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0481, max=1.0375
+[1042520][25-07-30 16:17:26.959 @ test_model] WARNING: Batch 50 - Values outside [0,1] in pred_x0_scaled: min=0.0481, max=1.0375. Clamping.
+[1042520][25-07-30 16:17:26.960 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:26.960 @ test_model] INFO: pred_x0_np stats: min=39.9242, max=1748703744.0000
+[1042520][25-07-30 16:17:26.960 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  45%|████▌     | 51/113 [04:48<05:50,  5.66s/it][1042520][25-07-30 16:17:28.330 @ test_model] INFO: Batch 51 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:28.330 @ test_model] INFO: Input data stats - abs_time: min=1748270464.0000, max=1748434560.0000, lat: min=39.9231, max=39.9397, lng: min=116.4902, max=116.5277
+[1042520][25-07-30 16:17:28.331 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:28.362 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:28.362 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:32.588 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0309, max=0.9284
+[1042520][25-07-30 16:17:32.589 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:32.589 @ test_model] INFO: pred_x0_np stats: min=39.9217, max=1748517376.0000
+[1042520][25-07-30 16:17:32.589 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748434560.0000
+
Epoch 50 Test Progress (DDIM):  46%|████▌     | 52/113 [04:53<05:44,  5.64s/it][1042520][25-07-30 16:17:33.935 @ test_model] INFO: Batch 52 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:33.935 @ test_model] INFO: Input data stats - abs_time: min=1748432768.0000, max=1748596736.0000, lat: min=39.9231, max=39.9397, lng: min=116.5019, max=116.5276
+[1042520][25-07-30 16:17:33.936 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:33.967 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:33.967 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:38.271 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0803, max=0.9927
+[1042520][25-07-30 16:17:38.272 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:38.272 @ test_model] INFO: pred_x0_np stats: min=39.9210, max=1748684800.0000
+[1042520][25-07-30 16:17:38.273 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748596736.0000
+
Epoch 50 Test Progress (DDIM):  47%|████▋     | 53/113 [04:59<05:39,  5.66s/it][1042520][25-07-30 16:17:39.631 @ test_model] INFO: Batch 53 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:39.631 @ test_model] INFO: Input data stats - abs_time: min=1748001536.0000, max=1748714368.0000, lat: min=39.9232, max=39.9414, lng: min=116.5019, max=116.5298
+[1042520][25-07-30 16:17:39.632 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:39.663 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:39.664 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:43.891 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0890, max=1.0372
+[1042520][25-07-30 16:17:43.891 @ test_model] WARNING: Batch 53 - Values outside [0,1] in pred_x0_scaled: min=0.0890, max=1.0372. Clamping.
+[1042520][25-07-30 16:17:43.892 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:43.892 @ test_model] INFO: pred_x0_np stats: min=39.9216, max=1748703744.0000
+[1042520][25-07-30 16:17:43.892 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  48%|████▊     | 54/113 [05:05<05:32,  5.64s/it][1042520][25-07-30 16:17:45.237 @ test_model] INFO: Batch 54 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:45.238 @ test_model] INFO: Input data stats - abs_time: min=1748013952.0000, max=1748455168.0000, lat: min=39.9161, max=39.9405, lng: min=116.4964, max=116.5288
+[1042520][25-07-30 16:17:45.239 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:45.270 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:45.270 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:49.624 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0451, max=0.9395
+[1042520][25-07-30 16:17:49.624 @ test_model] WARNING: Batch 54 - Values outside [0,1] in pred_x0_scaled: min=-0.0451, max=0.9395. Clamping.
+[1042520][25-07-30 16:17:49.625 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:49.625 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748546176.0000
+[1042520][25-07-30 16:17:49.626 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748455168.0000
+
Epoch 50 Test Progress (DDIM):  49%|████▊     | 55/113 [05:10<05:28,  5.67s/it][1042520][25-07-30 16:17:50.967 @ test_model] INFO: Batch 55 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:50.967 @ test_model] INFO: Input data stats - abs_time: min=1748453376.0000, max=1748617344.0000, lat: min=39.9255, max=39.9399, lng: min=116.5086, max=116.5298
+[1042520][25-07-30 16:17:50.969 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:50.999 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:51.000 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:17:55.231 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1038, max=1.0045
+[1042520][25-07-30 16:17:55.231 @ test_model] WARNING: Batch 55 - Values outside [0,1] in pred_x0_scaled: min=0.1038, max=1.0045. Clamping.
+[1042520][25-07-30 16:17:55.232 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:17:55.232 @ test_model] INFO: pred_x0_np stats: min=39.9224, max=1748703744.0000
+[1042520][25-07-30 16:17:55.232 @ test_model] INFO: ground_truth_np stats: min=39.9255, max=1748617344.0000
+
Epoch 50 Test Progress (DDIM):  50%|████▉     | 56/113 [05:16<05:22,  5.65s/it][1042520][25-07-30 16:17:56.581 @ test_model] INFO: Batch 56 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:17:56.582 @ test_model] INFO: Input data stats - abs_time: min=1747728000.0000, max=1748714368.0000, lat: min=39.9206, max=39.9431, lng: min=116.5021, max=116.5323
+[1042520][25-07-30 16:17:56.583 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:17:56.614 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:17:56.614 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:00.840 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0427, max=1.0322
+[1042520][25-07-30 16:18:00.841 @ test_model] WARNING: Batch 56 - Values outside [0,1] in pred_x0_scaled: min=0.0427, max=1.0322. Clamping.
+[1042520][25-07-30 16:18:00.842 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:00.842 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748703744.0000
+[1042520][25-07-30 16:18:00.842 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  50%|█████     | 57/113 [05:22<05:15,  5.64s/it][1042520][25-07-30 16:18:02.191 @ test_model] INFO: Batch 57 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:02.192 @ test_model] INFO: Input data stats - abs_time: min=1747742848.0000, max=1748338944.0000, lat: min=39.9193, max=39.9413, lng: min=116.5016, max=116.5274
+[1042520][25-07-30 16:18:02.193 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:02.224 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:02.224 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:06.468 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0157, max=0.8948
+[1042520][25-07-30 16:18:06.469 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:06.469 @ test_model] INFO: pred_x0_np stats: min=39.9172, max=1748429952.0000
+[1042520][25-07-30 16:18:06.469 @ test_model] INFO: ground_truth_np stats: min=39.9193, max=1748338944.0000
+
Epoch 50 Test Progress (DDIM):  51%|█████▏    | 58/113 [05:27<05:11,  5.66s/it][1042520][25-07-30 16:18:07.915 @ test_model] INFO: Batch 58 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:07.915 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748523520.0000, lat: min=39.9206, max=39.9789, lng: min=116.4765, max=116.5274
+[1042520][25-07-30 16:18:07.917 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:07.948 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:07.949 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:12.202 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0458, max=1.0586
+[1042520][25-07-30 16:18:12.203 @ test_model] WARNING: Batch 58 - Values outside [0,1] in pred_x0_scaled: min=-0.0458, max=1.0586. Clamping.
+[1042520][25-07-30 16:18:12.204 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:12.204 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748600960.0000
+[1042520][25-07-30 16:18:12.204 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748523520.0000
+
Epoch 50 Test Progress (DDIM):  52%|█████▏    | 59/113 [05:33<05:08,  5.71s/it][1042520][25-07-30 16:18:13.740 @ test_model] INFO: Batch 59 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:13.741 @ test_model] INFO: Input data stats - abs_time: min=1748350080.0000, max=1748532096.0000, lat: min=39.9681, max=39.9789, lng: min=116.4811, max=116.5183
+[1042520][25-07-30 16:18:13.742 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:13.773 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:13.773 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:18.006 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0416, max=1.0724
+[1042520][25-07-30 16:18:18.007 @ test_model] WARNING: Batch 59 - Values outside [0,1] in pred_x0_scaled: min=-0.0416, max=1.0724. Clamping.
+[1042520][25-07-30 16:18:18.007 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:18.008 @ test_model] INFO: pred_x0_np stats: min=39.9631, max=1748553088.0000
+[1042520][25-07-30 16:18:18.008 @ test_model] INFO: ground_truth_np stats: min=39.9681, max=1748532096.0000
+
Epoch 50 Test Progress (DDIM):  53%|█████▎    | 60/113 [05:39<05:01,  5.68s/it][1042520][25-07-30 16:18:19.357 @ test_model] INFO: Batch 60 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:19.358 @ test_model] INFO: Input data stats - abs_time: min=1748530304.0000, max=1748694272.0000, lat: min=39.9590, max=39.9788, lng: min=116.4713, max=116.5183
+[1042520][25-07-30 16:18:19.359 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:19.390 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:19.390 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:23.612 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0853, max=1.0799
+[1042520][25-07-30 16:18:23.613 @ test_model] WARNING: Batch 60 - Values outside [0,1] in pred_x0_scaled: min=-0.0853, max=1.0799. Clamping.
+[1042520][25-07-30 16:18:23.614 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:23.614 @ test_model] INFO: pred_x0_np stats: min=39.9532, max=1748703744.0000
+[1042520][25-07-30 16:18:23.614 @ test_model] INFO: ground_truth_np stats: min=39.9590, max=1748694272.0000
+
Epoch 50 Test Progress (DDIM):  54%|█████▍    | 61/113 [05:44<04:54,  5.66s/it][1042520][25-07-30 16:18:24.955 @ test_model] INFO: Batch 61 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:24.955 @ test_model] INFO: Input data stats - abs_time: min=1748080768.0000, max=1748696320.0000, lat: min=39.9350, max=39.9653, lng: min=116.4840, max=116.5289
+[1042520][25-07-30 16:18:24.957 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:24.988 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:24.988 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:29.209 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0228, max=0.9971
+[1042520][25-07-30 16:18:29.210 @ test_model] WARNING: Batch 61 - Values outside [0,1] in pred_x0_scaled: min=-0.0228, max=0.9971. Clamping.
+[1042520][25-07-30 16:18:29.210 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:29.211 @ test_model] INFO: pred_x0_np stats: min=39.9323, max=1748696320.0000
+[1042520][25-07-30 16:18:29.211 @ test_model] INFO: ground_truth_np stats: min=39.9350, max=1748696320.0000
+
Epoch 50 Test Progress (DDIM):  55%|█████▍    | 62/113 [05:50<04:47,  5.64s/it][1042520][25-07-30 16:18:30.554 @ test_model] INFO: Batch 62 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:30.555 @ test_model] INFO: Input data stats - abs_time: min=1748345344.0000, max=1748527488.0000, lat: min=39.9352, max=39.9404, lng: min=116.5020, max=116.5289
+[1042520][25-07-30 16:18:30.556 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:30.588 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:30.588 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:34.816 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0382, max=0.9736
+[1042520][25-07-30 16:18:34.817 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:34.817 @ test_model] INFO: pred_x0_np stats: min=39.9265, max=1748635008.0000
+[1042520][25-07-30 16:18:34.817 @ test_model] INFO: ground_truth_np stats: min=39.9352, max=1748527488.0000
+
Epoch 50 Test Progress (DDIM):  56%|█████▌    | 63/113 [05:56<04:41,  5.63s/it][1042520][25-07-30 16:18:36.164 @ test_model] INFO: Batch 63 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:36.165 @ test_model] INFO: Input data stats - abs_time: min=1748525696.0000, max=1748707712.0000, lat: min=39.9314, max=39.9402, lng: min=116.5021, max=116.5293
+[1042520][25-07-30 16:18:36.166 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:36.197 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:36.197 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:40.503 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0789, max=1.0335
+[1042520][25-07-30 16:18:40.504 @ test_model] WARNING: Batch 63 - Values outside [0,1] in pred_x0_scaled: min=0.0789, max=1.0335. Clamping.
+[1042520][25-07-30 16:18:40.504 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:40.505 @ test_model] INFO: pred_x0_np stats: min=39.9298, max=1748703744.0000
+[1042520][25-07-30 16:18:40.505 @ test_model] INFO: ground_truth_np stats: min=39.9314, max=1748707712.0000
+
Epoch 50 Test Progress (DDIM):  57%|█████▋    | 64/113 [06:01<04:36,  5.65s/it][1042520][25-07-30 16:18:41.848 @ test_model] INFO: Batch 64 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:41.849 @ test_model] INFO: Input data stats - abs_time: min=1748012416.0000, max=1748714368.0000, lat: min=39.9284, max=39.9403, lng: min=116.5020, max=116.5290
+[1042520][25-07-30 16:18:41.850 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:41.881 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:41.881 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:46.098 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0853, max=1.0355
+[1042520][25-07-30 16:18:46.098 @ test_model] WARNING: Batch 64 - Values outside [0,1] in pred_x0_scaled: min=0.0853, max=1.0355. Clamping.
+[1042520][25-07-30 16:18:46.099 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:46.099 @ test_model] INFO: pred_x0_np stats: min=39.9257, max=1748703744.0000
+[1042520][25-07-30 16:18:46.099 @ test_model] INFO: ground_truth_np stats: min=39.9284, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  58%|█████▊    | 65/113 [06:07<04:30,  5.63s/it][1042520][25-07-30 16:18:47.440 @ test_model] INFO: Batch 65 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:47.440 @ test_model] INFO: Input data stats - abs_time: min=1748358784.0000, max=1748627200.0000, lat: min=39.9286, max=39.9398, lng: min=116.5018, max=116.5275
+[1042520][25-07-30 16:18:47.442 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:47.473 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:47.473 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:51.697 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0827, max=1.0039
+[1042520][25-07-30 16:18:51.697 @ test_model] WARNING: Batch 65 - Values outside [0,1] in pred_x0_scaled: min=0.0827, max=1.0039. Clamping.
+[1042520][25-07-30 16:18:51.698 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:51.698 @ test_model] INFO: pred_x0_np stats: min=39.9271, max=1748703744.0000
+[1042520][25-07-30 16:18:51.698 @ test_model] INFO: ground_truth_np stats: min=39.9286, max=1748627200.0000
+
Epoch 50 Test Progress (DDIM):  58%|█████▊    | 66/113 [06:12<04:24,  5.62s/it][1042520][25-07-30 16:18:53.041 @ test_model] INFO: Batch 66 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:53.041 @ test_model] INFO: Input data stats - abs_time: min=1748095232.0000, max=1748714368.0000, lat: min=39.9281, max=39.9414, lng: min=116.5019, max=116.5275
+[1042520][25-07-30 16:18:53.043 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:53.074 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:53.074 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:18:57.293 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0623, max=1.0398
+[1042520][25-07-30 16:18:57.294 @ test_model] WARNING: Batch 66 - Values outside [0,1] in pred_x0_scaled: min=0.0623, max=1.0398. Clamping.
+[1042520][25-07-30 16:18:57.295 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:18:57.295 @ test_model] INFO: pred_x0_np stats: min=39.9245, max=1748703744.0000
+[1042520][25-07-30 16:18:57.295 @ test_model] INFO: ground_truth_np stats: min=39.9281, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  59%|█████▉    | 67/113 [06:18<04:18,  5.61s/it][1042520][25-07-30 16:18:58.635 @ test_model] INFO: Batch 67 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:18:58.636 @ test_model] INFO: Input data stats - abs_time: min=1748188288.0000, max=1748420736.0000, lat: min=39.9247, max=39.9414, lng: min=116.5051, max=116.5275
+[1042520][25-07-30 16:18:58.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:18:58.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:18:58.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:02.892 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0980, max=0.9103
+[1042520][25-07-30 16:19:02.893 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:02.893 @ test_model] INFO: pred_x0_np stats: min=39.9234, max=1748470144.0000
+[1042520][25-07-30 16:19:02.893 @ test_model] INFO: ground_truth_np stats: min=39.9247, max=1748420736.0000
+
Epoch 50 Test Progress (DDIM):  60%|██████    | 68/113 [06:24<04:12,  5.62s/it][1042520][25-07-30 16:19:04.261 @ test_model] INFO: Batch 68 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:04.262 @ test_model] INFO: Input data stats - abs_time: min=1748192384.0000, max=1748627968.0000, lat: min=39.9246, max=39.9414, lng: min=116.5059, max=116.5276
+[1042520][25-07-30 16:19:04.263 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:04.294 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:04.294 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:08.586 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1106, max=0.9998
+[1042520][25-07-30 16:19:08.586 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:08.587 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748703104.0000
+[1042520][25-07-30 16:19:08.587 @ test_model] INFO: ground_truth_np stats: min=39.9246, max=1748627968.0000
+
Epoch 50 Test Progress (DDIM):  61%|██████    | 69/113 [06:29<04:08,  5.64s/it][1042520][25-07-30 16:19:09.955 @ test_model] INFO: Batch 69 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:09.955 @ test_model] INFO: Input data stats - abs_time: min=1748251904.0000, max=1748451840.0000, lat: min=39.9353, max=39.9403, lng: min=116.5250, max=116.5280
+[1042520][25-07-30 16:19:09.957 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:09.989 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:09.989 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:14.219 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.2689, max=0.9366
+[1042520][25-07-30 16:19:14.220 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:14.221 @ test_model] INFO: pred_x0_np stats: min=39.9353, max=1748538496.0000
+[1042520][25-07-30 16:19:14.221 @ test_model] INFO: ground_truth_np stats: min=39.9353, max=1748451840.0000
+
Epoch 50 Test Progress (DDIM):  62%|██████▏   | 70/113 [06:35<04:02,  5.63s/it][1042520][25-07-30 16:19:15.565 @ test_model] INFO: Batch 70 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:15.566 @ test_model] INFO: Input data stats - abs_time: min=1748450048.0000, max=1748700544.0000, lat: min=39.9389, max=39.9397, lng: min=116.5268, max=116.5274
+[1042520][25-07-30 16:19:15.567 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:15.598 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:15.598 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:19.894 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.2290, max=1.0289
+[1042520][25-07-30 16:19:19.895 @ test_model] WARNING: Batch 70 - Values outside [0,1] in pred_x0_scaled: min=0.2290, max=1.0289. Clamping.
+[1042520][25-07-30 16:19:19.895 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:19.896 @ test_model] INFO: pred_x0_np stats: min=39.9336, max=1748703744.0000
+[1042520][25-07-30 16:19:19.896 @ test_model] INFO: ground_truth_np stats: min=39.9389, max=1748700544.0000
+
Epoch 50 Test Progress (DDIM):  63%|██████▎   | 71/113 [06:41<03:57,  5.64s/it][1042520][25-07-30 16:19:21.237 @ test_model] INFO: Batch 71 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:21.238 @ test_model] INFO: Input data stats - abs_time: min=1748192384.0000, max=1748714368.0000, lat: min=39.9144, max=39.9397, lng: min=116.4906, max=116.5276
+[1042520][25-07-30 16:19:21.239 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:21.270 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:21.270 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:25.489 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0521, max=1.0311
+[1042520][25-07-30 16:19:25.489 @ test_model] WARNING: Batch 71 - Values outside [0,1] in pred_x0_scaled: min=-0.0521, max=1.0311. Clamping.
+[1042520][25-07-30 16:19:25.490 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:25.490 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:19:25.491 @ test_model] INFO: ground_truth_np stats: min=39.9144, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  64%|██████▎   | 72/113 [06:46<03:50,  5.63s/it][1042520][25-07-30 16:19:26.834 @ test_model] INFO: Batch 72 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:26.834 @ test_model] INFO: Input data stats - abs_time: min=1748340864.0000, max=1748454528.0000, lat: min=39.9148, max=39.9398, lng: min=116.4955, max=116.5277
+[1042520][25-07-30 16:19:26.835 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:26.866 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:26.866 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:31.088 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0411, max=0.9389
+[1042520][25-07-30 16:19:31.088 @ test_model] WARNING: Batch 72 - Values outside [0,1] in pred_x0_scaled: min=-0.0411, max=0.9389. Clamping.
+[1042520][25-07-30 16:19:31.089 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:31.089 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748544768.0000
+[1042520][25-07-30 16:19:31.089 @ test_model] INFO: ground_truth_np stats: min=39.9148, max=1748454528.0000
+
Epoch 50 Test Progress (DDIM):  65%|██████▍   | 73/113 [06:52<03:44,  5.62s/it][1042520][25-07-30 16:19:32.433 @ test_model] INFO: Batch 73 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:32.433 @ test_model] INFO: Input data stats - abs_time: min=1748452736.0000, max=1748616704.0000, lat: min=39.9154, max=39.9413, lng: min=116.4949, max=116.5287
+[1042520][25-07-30 16:19:32.434 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:32.465 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:32.465 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:36.752 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0414, max=1.0004
+[1042520][25-07-30 16:19:36.752 @ test_model] WARNING: Batch 73 - Values outside [0,1] in pred_x0_scaled: min=-0.0414, max=1.0004. Clamping.
+[1042520][25-07-30 16:19:36.753 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:36.753 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:19:36.753 @ test_model] INFO: ground_truth_np stats: min=39.9154, max=1748616704.0000
+
Epoch 50 Test Progress (DDIM):  65%|██████▌   | 74/113 [06:57<03:39,  5.64s/it][1042520][25-07-30 16:19:38.104 @ test_model] INFO: Batch 74 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:38.104 @ test_model] INFO: Input data stats - abs_time: min=1747911552.0000, max=1748714368.0000, lat: min=39.9149, max=39.9398, lng: min=116.4948, max=116.5286
+[1042520][25-07-30 16:19:38.105 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:38.137 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:38.137 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:42.374 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0374, max=1.0316
+[1042520][25-07-30 16:19:42.374 @ test_model] WARNING: Batch 74 - Values outside [0,1] in pred_x0_scaled: min=-0.0374, max=1.0316. Clamping.
+[1042520][25-07-30 16:19:42.375 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:42.375 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:19:42.375 @ test_model] INFO: ground_truth_np stats: min=39.9149, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  66%|██████▋   | 75/113 [07:03<03:34,  5.64s/it][1042520][25-07-30 16:19:43.759 @ test_model] INFO: Batch 75 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:43.759 @ test_model] INFO: Input data stats - abs_time: min=1747994240.0000, max=1748107904.0000, lat: min=39.9236, max=39.9397, lng: min=116.5019, max=116.5274
+[1042520][25-07-30 16:19:43.760 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:43.792 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:43.792 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:48.035 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0662, max=0.8059
+[1042520][25-07-30 16:19:48.036 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:48.036 @ test_model] INFO: pred_x0_np stats: min=39.9218, max=1748198528.0000
+[1042520][25-07-30 16:19:48.036 @ test_model] INFO: ground_truth_np stats: min=39.9236, max=1748107904.0000
+
Epoch 50 Test Progress (DDIM):  67%|██████▋   | 76/113 [07:09<03:28,  5.65s/it][1042520][25-07-30 16:19:49.418 @ test_model] INFO: Batch 76 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:49.419 @ test_model] INFO: Input data stats - abs_time: min=1748106112.0000, max=1748511360.0000, lat: min=39.9232, max=39.9499, lng: min=116.5018, max=116.5451
+[1042520][25-07-30 16:19:49.420 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:49.451 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:49.451 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:53.675 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.6880, max=1.7149
+[1042520][25-07-30 16:19:53.675 @ test_model] WARNING: Batch 76 - Values outside [0,1] in pred_x0_scaled: min=-0.6880, max=1.7149. Clamping.
+[1042520][25-07-30 16:19:53.676 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:53.676 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:19:53.676 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748511360.0000
+
Epoch 50 Test Progress (DDIM):  68%|██████▊   | 77/113 [07:14<03:22,  5.64s/it][1042520][25-07-30 16:19:55.036 @ test_model] INFO: Batch 77 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:19:55.036 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748541568.0000, lat: min=39.9161, max=39.9400, lng: min=116.5006, max=116.5276
+[1042520][25-07-30 16:19:55.038 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:19:55.069 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:19:55.069 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:19:59.288 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0339, max=0.9707
+[1042520][25-07-30 16:19:59.289 @ test_model] WARNING: Batch 77 - Values outside [0,1] in pred_x0_scaled: min=-0.0339, max=0.9707. Clamping.
+[1042520][25-07-30 16:19:59.289 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:19:59.290 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748627456.0000
+[1042520][25-07-30 16:19:59.290 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748541568.0000
+
Epoch 50 Test Progress (DDIM):  69%|██████▉   | 78/113 [07:20<03:16,  5.63s/it][1042520][25-07-30 16:20:00.635 @ test_model] INFO: Batch 78 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:00.636 @ test_model] INFO: Input data stats - abs_time: min=1748270336.0000, max=1748434432.0000, lat: min=39.9161, max=39.9397, lng: min=116.5019, max=116.5276
+[1042520][25-07-30 16:20:00.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:00.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:00.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:04.886 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0277, max=0.9286
+[1042520][25-07-30 16:20:04.886 @ test_model] WARNING: Batch 78 - Values outside [0,1] in pred_x0_scaled: min=-0.0277, max=0.9286. Clamping.
+[1042520][25-07-30 16:20:04.887 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:04.887 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748517760.0000
+[1042520][25-07-30 16:20:04.887 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748434432.0000
+
Epoch 50 Test Progress (DDIM):  70%|██████▉   | 79/113 [07:26<03:11,  5.62s/it][1042520][25-07-30 16:20:06.234 @ test_model] INFO: Batch 79 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:06.234 @ test_model] INFO: Input data stats - abs_time: min=1748432640.0000, max=1748614656.0000, lat: min=39.9161, max=39.9409, lng: min=116.5001, max=116.5276
+[1042520][25-07-30 16:20:06.236 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:06.267 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:06.268 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:10.514 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0220, max=0.9979
+[1042520][25-07-30 16:20:10.515 @ test_model] WARNING: Batch 79 - Values outside [0,1] in pred_x0_scaled: min=-0.0220, max=0.9979. Clamping.
+[1042520][25-07-30 16:20:10.516 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:10.516 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748698240.0000
+[1042520][25-07-30 16:20:10.516 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748614656.0000
+
Epoch 50 Test Progress (DDIM):  71%|███████   | 80/113 [07:31<03:05,  5.62s/it][1042520][25-07-30 16:20:11.870 @ test_model] INFO: Batch 80 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:11.871 @ test_model] INFO: Input data stats - abs_time: min=1748354432.0000, max=1748714368.0000, lat: min=39.9159, max=39.9397, lng: min=116.5018, max=116.5275
+[1042520][25-07-30 16:20:11.872 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:11.903 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:11.904 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:16.122 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0261, max=1.0307
+[1042520][25-07-30 16:20:16.123 @ test_model] WARNING: Batch 80 - Values outside [0,1] in pred_x0_scaled: min=-0.0261, max=1.0307. Clamping.
+[1042520][25-07-30 16:20:16.124 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:16.124 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:20:16.124 @ test_model] INFO: ground_truth_np stats: min=39.9159, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  72%|███████▏  | 81/113 [07:37<02:59,  5.62s/it][1042520][25-07-30 16:20:17.474 @ test_model] INFO: Batch 81 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:17.474 @ test_model] INFO: Input data stats - abs_time: min=1748366592.0000, max=1748530560.0000, lat: min=39.9151, max=39.9399, lng: min=116.5018, max=116.5275
+[1042520][25-07-30 16:20:17.476 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:17.507 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:17.507 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:21.728 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0267, max=0.9643
+[1042520][25-07-30 16:20:21.728 @ test_model] WARNING: Batch 81 - Values outside [0,1] in pred_x0_scaled: min=-0.0267, max=0.9643. Clamping.
+[1042520][25-07-30 16:20:21.729 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:21.729 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748610944.0000
+[1042520][25-07-30 16:20:21.730 @ test_model] INFO: ground_truth_np stats: min=39.9151, max=1748530560.0000
+
Epoch 50 Test Progress (DDIM):  73%|███████▎  | 82/113 [07:42<02:53,  5.61s/it][1042520][25-07-30 16:20:23.073 @ test_model] INFO: Batch 82 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:23.074 @ test_model] INFO: Input data stats - abs_time: min=1748528768.0000, max=1748692864.0000, lat: min=39.9169, max=39.9401, lng: min=116.5018, max=116.5292
+[1042520][25-07-30 16:20:23.075 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:23.106 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:23.106 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:27.325 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0164, max=1.0286
+[1042520][25-07-30 16:20:27.325 @ test_model] WARNING: Batch 82 - Values outside [0,1] in pred_x0_scaled: min=-0.0164, max=1.0286. Clamping.
+[1042520][25-07-30 16:20:27.326 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:27.326 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:20:27.326 @ test_model] INFO: ground_truth_np stats: min=39.9169, max=1748692864.0000
+
Epoch 50 Test Progress (DDIM):  73%|███████▎  | 83/113 [07:48<02:48,  5.61s/it][1042520][25-07-30 16:20:28.672 @ test_model] INFO: Batch 83 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:28.672 @ test_model] INFO: Input data stats - abs_time: min=1748246400.0000, max=1748714368.0000, lat: min=39.9168, max=39.9397, lng: min=116.4971, max=116.5277
+[1042520][25-07-30 16:20:28.673 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:28.704 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:28.704 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:32.925 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0410, max=1.0426
+[1042520][25-07-30 16:20:32.926 @ test_model] WARNING: Batch 83 - Values outside [0,1] in pred_x0_scaled: min=-0.0410, max=1.0426. Clamping.
+[1042520][25-07-30 16:20:32.927 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:32.927 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:20:32.927 @ test_model] INFO: ground_truth_np stats: min=39.9168, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  74%|███████▍  | 84/113 [07:54<02:42,  5.61s/it][1042520][25-07-30 16:20:34.271 @ test_model] INFO: Batch 84 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:34.271 @ test_model] INFO: Input data stats - abs_time: min=1748336768.0000, max=1748450432.0000, lat: min=39.9169, max=39.9399, lng: min=116.4970, max=116.5276
+[1042520][25-07-30 16:20:34.273 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:34.304 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:34.304 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:38.523 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0233, max=0.9408
+[1042520][25-07-30 16:20:38.524 @ test_model] WARNING: Batch 84 - Values outside [0,1] in pred_x0_scaled: min=-0.0233, max=0.9408. Clamping.
+[1042520][25-07-30 16:20:38.525 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:38.525 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748549632.0000
+[1042520][25-07-30 16:20:38.525 @ test_model] INFO: ground_truth_np stats: min=39.9169, max=1748450432.0000
+
Epoch 50 Test Progress (DDIM):  75%|███████▌  | 85/113 [07:59<02:36,  5.61s/it][1042520][25-07-30 16:20:39.879 @ test_model] INFO: Batch 85 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:39.879 @ test_model] INFO: Input data stats - abs_time: min=1748448640.0000, max=1748612608.0000, lat: min=39.9170, max=39.9398, lng: min=116.4972, max=116.5275
+[1042520][25-07-30 16:20:39.881 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:39.912 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:39.912 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:44.136 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0207, max=0.9955
+[1042520][25-07-30 16:20:44.137 @ test_model] WARNING: Batch 85 - Values outside [0,1] in pred_x0_scaled: min=-0.0207, max=0.9955. Clamping.
+[1042520][25-07-30 16:20:44.138 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:44.138 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748691968.0000
+[1042520][25-07-30 16:20:44.138 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748612608.0000
+
Epoch 50 Test Progress (DDIM):  76%|███████▌  | 86/113 [08:05<02:31,  5.61s/it][1042520][25-07-30 16:20:45.486 @ test_model] INFO: Batch 86 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:45.487 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9162, max=39.9397, lng: min=116.4971, max=116.5275
+[1042520][25-07-30 16:20:45.488 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:45.519 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:45.519 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:49.738 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0240, max=1.0342
+[1042520][25-07-30 16:20:49.739 @ test_model] WARNING: Batch 86 - Values outside [0,1] in pred_x0_scaled: min=-0.0240, max=1.0342. Clamping.
+[1042520][25-07-30 16:20:49.739 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:49.740 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:20:49.740 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  77%|███████▋  | 87/113 [08:10<02:25,  5.61s/it][1042520][25-07-30 16:20:51.089 @ test_model] INFO: Batch 87 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:51.089 @ test_model] INFO: Input data stats - abs_time: min=1748184576.0000, max=1748434944.0000, lat: min=39.9230, max=39.9395, lng: min=116.4996, max=116.5273
+[1042520][25-07-30 16:20:51.091 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:51.122 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:51.122 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:20:55.348 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0548, max=0.9362
+[1042520][25-07-30 16:20:55.349 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:20:55.349 @ test_model] INFO: pred_x0_np stats: min=39.9209, max=1748537600.0000
+[1042520][25-07-30 16:20:55.349 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748434944.0000
+
Epoch 50 Test Progress (DDIM):  78%|███████▊  | 88/113 [08:16<02:20,  5.61s/it][1042520][25-07-30 16:20:56.705 @ test_model] INFO: Batch 88 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:20:56.705 @ test_model] INFO: Input data stats - abs_time: min=1748433152.0000, max=1748597248.0000, lat: min=39.9231, max=39.9396, lng: min=116.4995, max=116.5274
+[1042520][25-07-30 16:20:56.706 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:20:56.737 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:20:56.737 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:00.959 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0611, max=1.0012
+[1042520][25-07-30 16:21:00.959 @ test_model] WARNING: Batch 88 - Values outside [0,1] in pred_x0_scaled: min=0.0611, max=1.0012. Clamping.
+[1042520][25-07-30 16:21:00.960 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:00.960 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748703744.0000
+[1042520][25-07-30 16:21:00.960 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748597248.0000
+
Epoch 50 Test Progress (DDIM):  79%|███████▉  | 89/113 [08:22<02:14,  5.61s/it][1042520][25-07-30 16:21:02.305 @ test_model] INFO: Batch 89 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:02.305 @ test_model] INFO: Input data stats - abs_time: min=1748595456.0000, max=1748709120.0000, lat: min=39.9229, max=39.9398, lng: min=116.4995, max=116.5305
+[1042520][25-07-30 16:21:02.306 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:02.337 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:02.337 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:06.557 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0614, max=1.0414
+[1042520][25-07-30 16:21:06.557 @ test_model] WARNING: Batch 89 - Values outside [0,1] in pred_x0_scaled: min=0.0614, max=1.0414. Clamping.
+[1042520][25-07-30 16:21:06.558 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:06.558 @ test_model] INFO: pred_x0_np stats: min=39.9199, max=1748703744.0000
+[1042520][25-07-30 16:21:06.558 @ test_model] INFO: ground_truth_np stats: min=39.9229, max=1748709120.0000
+
Epoch 50 Test Progress (DDIM):  80%|███████▉  | 90/113 [08:27<02:08,  5.61s/it][1042520][25-07-30 16:21:07.912 @ test_model] INFO: Batch 90 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:07.912 @ test_model] INFO: Input data stats - abs_time: min=1748527232.0000, max=1748714368.0000, lat: min=39.9234, max=39.9406, lng: min=116.4995, max=116.5277
+[1042520][25-07-30 16:21:07.913 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:07.944 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:07.944 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:12.163 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0763, max=1.0391
+[1042520][25-07-30 16:21:12.163 @ test_model] WARNING: Batch 90 - Values outside [0,1] in pred_x0_scaled: min=0.0763, max=1.0391. Clamping.
+[1042520][25-07-30 16:21:12.164 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:12.164 @ test_model] INFO: pred_x0_np stats: min=39.9219, max=1748703744.0000
+[1042520][25-07-30 16:21:12.164 @ test_model] INFO: ground_truth_np stats: min=39.9234, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  81%|████████  | 91/113 [08:33<02:03,  5.60s/it][1042520][25-07-30 16:21:13.504 @ test_model] INFO: Batch 91 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:13.505 @ test_model] INFO: Input data stats - abs_time: min=1748163584.0000, max=1748714368.0000, lat: min=39.9202, max=39.9405, lng: min=116.4988, max=116.5276
+[1042520][25-07-30 16:21:13.506 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:13.537 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:13.537 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:17.758 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0401, max=1.0351
+[1042520][25-07-30 16:21:17.758 @ test_model] WARNING: Batch 91 - Values outside [0,1] in pred_x0_scaled: min=0.0401, max=1.0351. Clamping.
+[1042520][25-07-30 16:21:17.759 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:17.759 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748703744.0000
+[1042520][25-07-30 16:21:17.759 @ test_model] INFO: ground_truth_np stats: min=39.9202, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  81%|████████▏ | 92/113 [08:38<01:57,  5.60s/it][1042520][25-07-30 16:21:19.100 @ test_model] INFO: Batch 92 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:19.100 @ test_model] INFO: Input data stats - abs_time: min=1748247040.0000, max=1748447104.0000, lat: min=39.9233, max=39.9414, lng: min=116.5018, max=116.5273
+[1042520][25-07-30 16:21:19.101 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:19.132 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:19.132 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:23.352 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0575, max=0.9389
+[1042520][25-07-30 16:21:23.353 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:23.353 @ test_model] INFO: pred_x0_np stats: min=39.9221, max=1748544640.0000
+[1042520][25-07-30 16:21:23.353 @ test_model] INFO: ground_truth_np stats: min=39.9233, max=1748447104.0000
+
Epoch 50 Test Progress (DDIM):  82%|████████▏ | 93/113 [08:44<01:51,  5.60s/it][1042520][25-07-30 16:21:24.698 @ test_model] INFO: Batch 93 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:24.699 @ test_model] INFO: Input data stats - abs_time: min=1748445312.0000, max=1748695680.0000, lat: min=39.9249, max=39.9412, lng: min=116.5082, max=116.5284
+[1042520][25-07-30 16:21:24.700 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:24.731 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:24.731 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:29.027 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1334, max=1.0323
+[1042520][25-07-30 16:21:29.027 @ test_model] WARNING: Batch 93 - Values outside [0,1] in pred_x0_scaled: min=0.1334, max=1.0323. Clamping.
+[1042520][25-07-30 16:21:29.028 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:29.028 @ test_model] INFO: pred_x0_np stats: min=39.9244, max=1748703744.0000
+[1042520][25-07-30 16:21:29.028 @ test_model] INFO: ground_truth_np stats: min=39.9249, max=1748695680.0000
+
Epoch 50 Test Progress (DDIM):  83%|████████▎ | 94/113 [08:50<01:46,  5.62s/it][1042520][25-07-30 16:21:30.369 @ test_model] INFO: Batch 94 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:30.369 @ test_model] INFO: Input data stats - abs_time: min=1747756800.0000, max=1748714368.0000, lat: min=39.9134, max=39.9400, lng: min=116.4906, max=116.5296
+[1042520][25-07-30 16:21:30.371 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:30.402 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:30.402 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:34.621 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0693, max=1.0318
+[1042520][25-07-30 16:21:34.621 @ test_model] WARNING: Batch 94 - Values outside [0,1] in pred_x0_scaled: min=-0.0693, max=1.0318. Clamping.
+[1042520][25-07-30 16:21:34.622 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:34.623 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:21:34.623 @ test_model] INFO: ground_truth_np stats: min=39.9134, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  84%|████████▍ | 95/113 [08:55<01:41,  5.62s/it][1042520][25-07-30 16:21:35.976 @ test_model] INFO: Batch 95 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:35.977 @ test_model] INFO: Input data stats - abs_time: min=1747936384.0000, max=1748687232.0000, lat: min=39.9207, max=39.9408, lng: min=116.5017, max=116.5295
+[1042520][25-07-30 16:21:35.978 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:36.009 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:36.009 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:40.238 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0613, max=1.0275
+[1042520][25-07-30 16:21:40.239 @ test_model] WARNING: Batch 95 - Values outside [0,1] in pred_x0_scaled: min=0.0613, max=1.0275. Clamping.
+[1042520][25-07-30 16:21:40.240 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:40.240 @ test_model] INFO: pred_x0_np stats: min=39.9199, max=1748703744.0000
+[1042520][25-07-30 16:21:40.240 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748687232.0000
+
Epoch 50 Test Progress (DDIM):  85%|████████▍ | 96/113 [09:01<01:35,  5.63s/it][1042520][25-07-30 16:21:41.647 @ test_model] INFO: Batch 96 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:41.647 @ test_model] INFO: Input data stats - abs_time: min=1748181632.0000, max=1748714368.0000, lat: min=39.9230, max=39.9413, lng: min=116.4905, max=116.5275
+[1042520][25-07-30 16:21:41.648 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:41.679 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:41.680 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:45.898 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0320, max=1.0375
+[1042520][25-07-30 16:21:45.898 @ test_model] WARNING: Batch 96 - Values outside [0,1] in pred_x0_scaled: min=0.0320, max=1.0375. Clamping.
+[1042520][25-07-30 16:21:45.899 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:45.900 @ test_model] INFO: pred_x0_np stats: min=39.9198, max=1748703744.0000
+[1042520][25-07-30 16:21:45.900 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  86%|████████▌ | 97/113 [09:07<01:29,  5.62s/it][1042520][25-07-30 16:21:47.240 @ test_model] INFO: Batch 97 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:47.240 @ test_model] INFO: Input data stats - abs_time: min=1748266368.0000, max=1748516864.0000, lat: min=39.9227, max=39.9399, lng: min=116.4901, max=116.5275
+[1042520][25-07-30 16:21:47.241 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:47.272 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:47.272 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:51.492 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0318, max=0.9626
+[1042520][25-07-30 16:21:51.493 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:51.493 @ test_model] INFO: pred_x0_np stats: min=39.9208, max=1748606464.0000
+[1042520][25-07-30 16:21:51.493 @ test_model] INFO: ground_truth_np stats: min=39.9227, max=1748516864.0000
+
Epoch 50 Test Progress (DDIM):  87%|████████▋ | 98/113 [09:12<01:24,  5.64s/it][1042520][25-07-30 16:21:52.936 @ test_model] INFO: Batch 98 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:52.937 @ test_model] INFO: Input data stats - abs_time: min=1748001536.0000, max=1748714368.0000, lat: min=39.9206, max=39.9412, lng: min=116.4899, max=116.5276
+[1042520][25-07-30 16:21:52.938 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:52.969 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:52.969 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:21:57.189 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0288, max=1.0376
+[1042520][25-07-30 16:21:57.189 @ test_model] WARNING: Batch 98 - Values outside [0,1] in pred_x0_scaled: min=0.0288, max=1.0376. Clamping.
+[1042520][25-07-30 16:21:57.190 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:21:57.190 @ test_model] INFO: pred_x0_np stats: min=39.9197, max=1748703744.0000
+[1042520][25-07-30 16:21:57.191 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  88%|████████▊ | 99/113 [09:18<01:18,  5.63s/it][1042520][25-07-30 16:21:58.533 @ test_model] INFO: Batch 99 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:21:58.533 @ test_model] INFO: Input data stats - abs_time: min=1748002304.0000, max=1748166400.0000, lat: min=39.9170, max=39.9396, lng: min=116.5019, max=116.5275
+[1042520][25-07-30 16:21:58.534 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:21:58.565 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:21:58.565 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:02.784 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0147, max=0.8292
+[1042520][25-07-30 16:22:02.784 @ test_model] WARNING: Batch 99 - Values outside [0,1] in pred_x0_scaled: min=-0.0147, max=0.8292. Clamping.
+[1042520][25-07-30 16:22:02.785 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:02.785 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748259200.0000
+[1042520][25-07-30 16:22:02.785 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748166400.0000
+
Epoch 50 Test Progress (DDIM):  88%|████████▊ | 100/113 [09:24<01:13,  5.62s/it][1042520][25-07-30 16:22:04.125 @ test_model] INFO: Batch 100 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:04.126 @ test_model] INFO: Input data stats - abs_time: min=1748164608.0000, max=1748346624.0000, lat: min=39.9171, max=39.9397, lng: min=116.5024, max=116.5275
+[1042520][25-07-30 16:22:04.127 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:04.158 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:04.158 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:08.374 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0225, max=0.8990
+[1042520][25-07-30 16:22:08.374 @ test_model] WARNING: Batch 100 - Values outside [0,1] in pred_x0_scaled: min=-0.0225, max=0.8990. Clamping.
+[1042520][25-07-30 16:22:08.375 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:08.375 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748440960.0000
+[1042520][25-07-30 16:22:08.375 @ test_model] INFO: ground_truth_np stats: min=39.9171, max=1748346624.0000
+
Epoch 50 Test Progress (DDIM):  89%|████████▉ | 101/113 [09:29<01:07,  5.61s/it][1042520][25-07-30 16:22:09.718 @ test_model] INFO: Batch 101 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:09.719 @ test_model] INFO: Input data stats - abs_time: min=1748253568.0000, max=1748714368.0000, lat: min=39.9170, max=39.9398, lng: min=116.4992, max=116.5274
+[1042520][25-07-30 16:22:09.720 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:09.751 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:09.751 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:14.048 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0274, max=1.0363
+[1042520][25-07-30 16:22:14.049 @ test_model] WARNING: Batch 101 - Values outside [0,1] in pred_x0_scaled: min=-0.0274, max=1.0363. Clamping.
+[1042520][25-07-30 16:22:14.050 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:14.050 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:22:14.050 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  90%|█████████ | 102/113 [09:35<01:01,  5.63s/it][1042520][25-07-30 16:22:15.393 @ test_model] INFO: Batch 102 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:15.393 @ test_model] INFO: Input data stats - abs_time: min=1748256896.0000, max=1748507392.0000, lat: min=39.9312, max=39.9402, lng: min=116.4987, max=116.5273
+[1042520][25-07-30 16:22:15.395 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:15.426 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:15.426 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:19.643 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0658, max=0.9438
+[1042520][25-07-30 16:22:19.644 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:19.644 @ test_model] INFO: pred_x0_np stats: min=39.9288, max=1748557440.0000
+[1042520][25-07-30 16:22:19.644 @ test_model] INFO: ground_truth_np stats: min=39.9312, max=1748507392.0000
+
Epoch 50 Test Progress (DDIM):  91%|█████████ | 103/113 [09:40<00:56,  5.62s/it][1042520][25-07-30 16:22:20.987 @ test_model] INFO: Batch 103 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:20.987 @ test_model] INFO: Input data stats - abs_time: min=1748422784.0000, max=1748696320.0000, lat: min=39.9211, max=39.9397, lng: min=116.4969, max=116.5275
+[1042520][25-07-30 16:22:20.988 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:21.019 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:21.019 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:25.394 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0488, max=1.0308
+[1042520][25-07-30 16:22:25.395 @ test_model] WARNING: Batch 103 - Values outside [0,1] in pred_x0_scaled: min=0.0488, max=1.0308. Clamping.
+[1042520][25-07-30 16:22:25.395 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:25.396 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
+[1042520][25-07-30 16:22:25.396 @ test_model] INFO: ground_truth_np stats: min=39.9211, max=1748696320.0000
+
Epoch 50 Test Progress (DDIM):  92%|█████████▏| 104/113 [09:46<00:50,  5.66s/it][1042520][25-07-30 16:22:26.735 @ test_model] INFO: Batch 104 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:26.736 @ test_model] INFO: Input data stats - abs_time: min=1748432000.0000, max=1748596096.0000, lat: min=39.9200, max=39.9399, lng: min=116.4939, max=116.5275
+[1042520][25-07-30 16:22:26.737 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:26.768 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:26.768 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:30.986 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0428, max=0.9891
+[1042520][25-07-30 16:22:30.987 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:30.987 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748675328.0000
+[1042520][25-07-30 16:22:30.987 @ test_model] INFO: ground_truth_np stats: min=39.9200, max=1748596096.0000
+
Epoch 50 Test Progress (DDIM):  93%|█████████▎| 105/113 [09:52<00:45,  5.64s/it][1042520][25-07-30 16:22:32.330 @ test_model] INFO: Batch 105 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:32.330 @ test_model] INFO: Input data stats - abs_time: min=1748594304.0000, max=1748707968.0000, lat: min=39.9204, max=39.9401, lng: min=116.4965, max=116.5287
+[1042520][25-07-30 16:22:32.331 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:32.362 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:32.362 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:36.581 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0361, max=1.0380
+[1042520][25-07-30 16:22:36.581 @ test_model] WARNING: Batch 105 - Values outside [0,1] in pred_x0_scaled: min=0.0361, max=1.0380. Clamping.
+[1042520][25-07-30 16:22:36.582 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:36.582 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
+[1042520][25-07-30 16:22:36.582 @ test_model] INFO: ground_truth_np stats: min=39.9204, max=1748707968.0000
+
Epoch 50 Test Progress (DDIM):  94%|█████████▍| 106/113 [09:57<00:39,  5.63s/it][1042520][25-07-30 16:22:37.925 @ test_model] INFO: Batch 106 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:37.925 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748714368.0000, lat: min=39.9215, max=39.9398, lng: min=116.4956, max=116.5275
+[1042520][25-07-30 16:22:37.927 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:37.958 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:37.958 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:42.181 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0526, max=1.0357
+[1042520][25-07-30 16:22:42.181 @ test_model] WARNING: Batch 106 - Values outside [0,1] in pred_x0_scaled: min=0.0526, max=1.0357. Clamping.
+[1042520][25-07-30 16:22:42.182 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:42.182 @ test_model] INFO: pred_x0_np stats: min=39.9194, max=1748703744.0000
+[1042520][25-07-30 16:22:42.182 @ test_model] INFO: ground_truth_np stats: min=39.9215, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM):  95%|█████████▍| 107/113 [10:03<00:33,  5.62s/it][1042520][25-07-30 16:22:43.523 @ test_model] INFO: Batch 107 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:43.523 @ test_model] INFO: Input data stats - abs_time: min=1748258304.0000, max=1748422400.0000, lat: min=39.9269, max=39.9400, lng: min=116.5017, max=116.5277
+[1042520][25-07-30 16:22:43.524 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:43.555 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:43.556 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:47.875 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0701, max=0.9199
+[1042520][25-07-30 16:22:47.876 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:47.877 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748495232.0000
+[1042520][25-07-30 16:22:47.877 @ test_model] INFO: ground_truth_np stats: min=39.9269, max=1748422400.0000
+
Epoch 50 Test Progress (DDIM):  96%|█████████▌| 108/113 [10:09<00:28,  5.64s/it][1042520][25-07-30 16:22:49.214 @ test_model] INFO: Batch 108 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:49.214 @ test_model] INFO: Input data stats - abs_time: min=1748420608.0000, max=1748534272.0000, lat: min=39.9215, max=39.9402, lng: min=116.5014, max=116.5277
+[1042520][25-07-30 16:22:49.216 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:49.247 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:49.247 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:53.464 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0006, max=0.9812
+[1042520][25-07-30 16:22:53.464 @ test_model] WARNING: Batch 108 - Values outside [0,1] in pred_x0_scaled: min=-0.0006, max=0.9812. Clamping.
+[1042520][25-07-30 16:22:53.465 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:53.465 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748654720.0000
+[1042520][25-07-30 16:22:53.465 @ test_model] INFO: ground_truth_np stats: min=39.9215, max=1748534272.0000
+
Epoch 50 Test Progress (DDIM):  96%|█████████▋| 109/113 [10:14<00:22,  5.63s/it][1042520][25-07-30 16:22:54.813 @ test_model] INFO: Batch 109 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:22:54.813 @ test_model] INFO: Input data stats - abs_time: min=1748347136.0000, max=1748696320.0000, lat: min=39.9162, max=39.9400, lng: min=116.5018, max=116.5275
+[1042520][25-07-30 16:22:54.815 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:22:54.845 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:22:54.846 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:22:59.065 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0063, max=1.0344
+[1042520][25-07-30 16:22:59.066 @ test_model] WARNING: Batch 109 - Values outside [0,1] in pred_x0_scaled: min=0.0063, max=1.0344. Clamping.
+[1042520][25-07-30 16:22:59.066 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:22:59.067 @ test_model] INFO: pred_x0_np stats: min=39.9167, max=1748703744.0000
+[1042520][25-07-30 16:22:59.067 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748696320.0000
+
Epoch 50 Test Progress (DDIM):  97%|█████████▋| 110/113 [10:20<00:16,  5.62s/it][1042520][25-07-30 16:23:00.410 @ test_model] INFO: Batch 110 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:23:00.410 @ test_model] INFO: Input data stats - abs_time: min=1748347264.0000, max=1748511360.0000, lat: min=39.9152, max=39.9413, lng: min=116.4942, max=116.5276
+[1042520][25-07-30 16:23:00.411 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:23:00.442 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:23:00.442 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:23:04.660 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0386, max=0.9578
+[1042520][25-07-30 16:23:04.660 @ test_model] WARNING: Batch 110 - Values outside [0,1] in pred_x0_scaled: min=-0.0386, max=0.9578. Clamping.
+[1042520][25-07-30 16:23:04.661 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:23:04.661 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748593920.0000
+[1042520][25-07-30 16:23:04.662 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748511360.0000
+
Epoch 50 Test Progress (DDIM):  98%|█████████▊| 111/113 [10:25<00:11,  5.61s/it][1042520][25-07-30 16:23:06.007 @ test_model] INFO: Batch 111 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
+[1042520][25-07-30 16:23:06.007 @ test_model] INFO: Input data stats - abs_time: min=1748509568.0000, max=1748623232.0000, lat: min=39.9153, max=39.9414, lng: min=116.4942, max=116.5276
+[1042520][25-07-30 16:23:06.009 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:23:06.040 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:23:06.040 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
+[1042520][25-07-30 16:23:10.260 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0587, max=0.9963
+[1042520][25-07-30 16:23:10.261 @ test_model] WARNING: Batch 111 - Values outside [0,1] in pred_x0_scaled: min=-0.0587, max=0.9963. Clamping.
+[1042520][25-07-30 16:23:10.262 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
+[1042520][25-07-30 16:23:10.262 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748694016.0000
+[1042520][25-07-30 16:23:10.262 @ test_model] INFO: ground_truth_np stats: min=39.9153, max=1748623232.0000
+
Epoch 50 Test Progress (DDIM):  99%|█████████▉| 112/113 [10:31<00:05,  5.61s/it][1042520][25-07-30 16:23:11.603 @ test_model] INFO: Batch 112 - Input shapes: abs_time torch.Size([679, 32]), lat torch.Size([679, 32]), lng torch.Size([679, 32])
+[1042520][25-07-30 16:23:11.603 @ test_model] INFO: Input data stats - abs_time: min=1748621440.0000, max=1748714368.0000, lat: min=39.9152, max=39.9396, lng: min=116.4942, max=116.5276
+[1042520][25-07-30 16:23:11.605 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
+[1042520][25-07-30 16:23:11.626 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
+[1042520][25-07-30 16:23:11.626 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([679, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([679, 3, 32]), matched prototypes shape: torch.Size([679, 512])
+[1042520][25-07-30 16:23:14.656 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0329, max=1.0307
+[1042520][25-07-30 16:23:14.657 @ test_model] WARNING: Batch 112 - Values outside [0,1] in pred_x0_scaled: min=-0.0329, max=1.0307. Clamping.
+[1042520][25-07-30 16:23:14.658 @ test_model] INFO: Shapes for metrics: pred_x0_np (679, 32, 3), ground_truth_np (679, 32, 3)
+[1042520][25-07-30 16:23:14.658 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
+[1042520][25-07-30 16:23:14.658 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748714368.0000
+
Epoch 50 Test Progress (DDIM): 100%|██████████| 113/113 [10:35<00:00,  5.11s/it]
Epoch 50 Test Progress (DDIM): 100%|██████████| 113/113 [10:35<00:00,  5.62s/it]
+[1042520][25-07-30 16:23:15.647 @ test_model] INFO: --- Test Results for Epoch 50 (DDIM) ---
+[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MTD: 253.9276
+[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MPPE: 253.9276
+[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MAEPP (time): 23648.5312
+[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean MAEPS (time): 23648.5312
+[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean AVG_TC: 0.9923
+[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Overall MaxTD: 12674.0975
+[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean TC@1000: 0.9482
+[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean TC@2000: 0.9823
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@3000: 0.9954
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@4000: 0.9983
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@5000: 0.9996
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@6000: 0.9997
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@7000: 0.9998
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@8000: 0.9998
+[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@9000: 0.9999
+[1042520][25-07-30 16:23:15.650 @ test_model] INFO: Mean TC@10000: 0.9999
+[1042520][25-07-30 16:23:15.650 @ test_model] INFO: DDIM sampling with 50 steps, eta: 0.00
+[1042520][25-07-30 16:23:15.655 @ test_model] INFO: Saved test metrics to /root/ProDiff/Experiments/trajectory_a40_turbo_optimized_test_TKY_temporal_len32_ddim_20250730-161239/results
+[1042520][25-07-30 16:23:15.655 @ main] INFO: Main script execution finished.
+=====================================
+✅ 模型测试成功完成！
+完成时间: Wed Jul 30 16:23:16 UTC 2025
+=====================================
+
+📊 测试结果已保存到:
+   日志文件: ./test_logs/test_trajectory_a40_turbo_optimized_epoch50_20250730_161237.log
+   结果目录: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/results/
+
+📈 查看测试指标:
+   MTD (平均轨迹距离): 衡量生成轨迹的空间精度
+   MPPE (平均位置预测误差): 衡量位置预测准确性
+   TC@X (轨迹覆盖率): 在X米阈值内的预测准确率
+