diff --git "a/ddpm_pred_x0_cifar10/output-2023-08-09-23-34-33.log" "b/ddpm_pred_x0_cifar10/output-2023-08-09-23-34-33.log"
new file mode 100644--- /dev/null
+++ "b/ddpm_pred_x0_cifar10/output-2023-08-09-23-34-33.log"
@@ -0,0 +1,1216 @@
+2023-08-09 23:34:37,010 - INFO - Experiment directory: ./runs/ddpm_cifar10_pred_x0
+2023-08-09 23:34:37,011 - INFO - Number of processes: 4
+2023-08-09 23:34:37,012 - INFO - Distributed type: DistributedType.MULTI_GPU
+2023-08-09 23:34:37,012 - INFO - Mixed precision: no
+2023-08-09 23:34:37,012 - INFO - ==============================
+2023-08-09 23:34:38,774 - INFO - Size of training set: 50000
+2023-08-09 23:34:38,774 - INFO - Batch size per process: 32
+2023-08-09 23:34:38,774 - INFO - Total batch size: 128
+2023-08-09 23:34:38,774 - INFO - ==============================
+2023-08-09 23:34:40,060 - INFO - Resume from ./runs/ddpm_cifar10_pred_x0/ckpt/step319999/
+2023-08-09 23:34:40,907 - INFO - Successfully load model from ./runs/ddpm_cifar10_pred_x0/ckpt/step319999/
+2023-08-09 23:34:41,747 - INFO - Successfully load ema from ./runs/ddpm_cifar10_pred_x0/ckpt/step319999/
+2023-08-09 23:34:43,841 - INFO - Successfully load optimizer from ./runs/ddpm_cifar10_pred_x0/ckpt/step319999/
+2023-08-09 23:34:43,844 - INFO - Restart training at step 320000
+2023-08-09 23:34:44,191 - INFO - Start training...
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+2023-08-11 04:12:08,918 - INFO - [Train] step: 773599, loss: 0.141123, lr: 0.000200
+2023-08-11 04:13:37,659 - INFO - [Train] step: 773999, loss: 0.126033, lr: 0.000200
+2023-08-11 04:15:08,116 - INFO - [Train] step: 774399, loss: 0.085315, lr: 0.000200
+2023-08-11 04:16:36,378 - INFO - [Train] step: 774799, loss: 0.146723, lr: 0.000200
+2023-08-11 04:18:27,302 - INFO - [Train] step: 775199, loss: 0.083556, lr: 0.000200
+2023-08-11 04:19:55,575 - INFO - [Train] step: 775599, loss: 0.105614, lr: 0.000200
+2023-08-11 04:21:23,780 - INFO - [Train] step: 775999, loss: 0.122032, lr: 0.000200
+2023-08-11 04:22:53,934 - INFO - [Train] step: 776399, loss: 0.087352, lr: 0.000200
+2023-08-11 04:24:22,466 - INFO - [Train] step: 776799, loss: 0.091504, lr: 0.000200
+2023-08-11 04:25:52,918 - INFO - [Train] step: 777199, loss: 0.113468, lr: 0.000200
+2023-08-11 04:27:21,098 - INFO - [Train] step: 777599, loss: 0.124147, lr: 0.000200
+2023-08-11 04:28:50,212 - INFO - [Train] step: 777999, loss: 0.105485, lr: 0.000200
+2023-08-11 04:30:20,042 - INFO - [Train] step: 778399, loss: 0.095742, lr: 0.000200
+2023-08-11 04:31:48,628 - INFO - [Train] step: 778799, loss: 0.116867, lr: 0.000200
+2023-08-11 04:33:19,024 - INFO - [Train] step: 779199, loss: 0.073513, lr: 0.000200
+2023-08-11 04:34:47,320 - INFO - [Train] step: 779599, loss: 0.145247, lr: 0.000200
+2023-08-11 04:36:16,988 - INFO - [Train] step: 779999, loss: 0.088843, lr: 0.000200
+2023-08-11 04:38:08,927 - INFO - [Train] step: 780399, loss: 0.137288, lr: 0.000200
+2023-08-11 04:39:37,922 - INFO - [Train] step: 780799, loss: 0.120202, lr: 0.000200
+2023-08-11 04:41:08,596 - INFO - [Train] step: 781199, loss: 0.115684, lr: 0.000200
+2023-08-11 04:42:36,800 - INFO - [Train] step: 781599, loss: 0.144463, lr: 0.000200
+2023-08-11 04:44:06,584 - INFO - [Train] step: 781999, loss: 0.120687, lr: 0.000200
+2023-08-11 04:45:35,915 - INFO - [Train] step: 782399, loss: 0.100961, lr: 0.000200
+2023-08-11 04:47:03,756 - INFO - [Train] step: 782799, loss: 0.077453, lr: 0.000200
+2023-08-11 04:48:35,056 - INFO - [Train] step: 783199, loss: 0.145214, lr: 0.000200
+2023-08-11 04:50:03,159 - INFO - [Train] step: 783599, loss: 0.097146, lr: 0.000200
+2023-08-11 04:51:33,243 - INFO - [Train] step: 783999, loss: 0.067736, lr: 0.000200
+2023-08-11 04:53:02,334 - INFO - [Train] step: 784399, loss: 0.119450, lr: 0.000200
+2023-08-11 04:54:30,771 - INFO - [Train] step: 784799, loss: 0.076277, lr: 0.000200
+2023-08-11 04:56:22,218 - INFO - [Train] step: 785199, loss: 0.115497, lr: 0.000200
+2023-08-11 04:57:50,443 - INFO - [Train] step: 785599, loss: 0.115227, lr: 0.000200
+2023-08-11 04:59:20,264 - INFO - [Train] step: 785999, loss: 0.089742, lr: 0.000200
+2023-08-11 05:00:49,584 - INFO - [Train] step: 786399, loss: 0.118182, lr: 0.000200
+2023-08-11 05:02:18,562 - INFO - [Train] step: 786799, loss: 0.111416, lr: 0.000200
+2023-08-11 05:03:48,980 - INFO - [Train] step: 787199, loss: 0.134006, lr: 0.000200
+2023-08-11 05:05:17,267 - INFO - [Train] step: 787599, loss: 0.109242, lr: 0.000200
+2023-08-11 05:06:47,959 - INFO - [Train] step: 787999, loss: 0.113866, lr: 0.000200
+2023-08-11 05:08:17,092 - INFO - [Train] step: 788399, loss: 0.114860, lr: 0.000200
+2023-08-11 05:09:46,252 - INFO - [Train] step: 788799, loss: 0.127410, lr: 0.000200
+2023-08-11 05:11:16,388 - INFO - [Train] step: 789199, loss: 0.132434, lr: 0.000200
+2023-08-11 05:12:44,950 - INFO - [Train] step: 789599, loss: 0.105398, lr: 0.000200
+2023-08-11 05:14:15,090 - INFO - [Train] step: 789999, loss: 0.118582, lr: 0.000200
+2023-08-11 05:16:06,294 - INFO - [Train] step: 790399, loss: 0.128057, lr: 0.000200
+2023-08-11 05:17:35,102 - INFO - [Train] step: 790799, loss: 0.103894, lr: 0.000200
+2023-08-11 05:19:04,958 - INFO - [Train] step: 791199, loss: 0.061454, lr: 0.000200
+2023-08-11 05:20:33,089 - INFO - [Train] step: 791599, loss: 0.095964, lr: 0.000200
+2023-08-11 05:22:03,213 - INFO - [Train] step: 791999, loss: 0.092422, lr: 0.000200
+2023-08-11 05:23:31,649 - INFO - [Train] step: 792399, loss: 0.140941, lr: 0.000200
+2023-08-11 05:25:01,084 - INFO - [Train] step: 792799, loss: 0.101787, lr: 0.000200
+2023-08-11 05:26:30,201 - INFO - [Train] step: 793199, loss: 0.114349, lr: 0.000200
+2023-08-11 05:27:58,106 - INFO - [Train] step: 793599, loss: 0.070531, lr: 0.000200
+2023-08-11 05:29:29,365 - INFO - [Train] step: 793999, loss: 0.094452, lr: 0.000200
+2023-08-11 05:30:57,639 - INFO - [Train] step: 794399, loss: 0.083475, lr: 0.000200
+2023-08-11 05:32:27,992 - INFO - [Train] step: 794799, loss: 0.110375, lr: 0.000200
+2023-08-11 05:34:19,306 - INFO - [Train] step: 795199, loss: 0.097557, lr: 0.000200
+2023-08-11 05:35:48,019 - INFO - [Train] step: 795599, loss: 0.138414, lr: 0.000200
+2023-08-11 05:37:18,950 - INFO - [Train] step: 795999, loss: 0.099870, lr: 0.000200
+2023-08-11 05:38:47,512 - INFO - [Train] step: 796399, loss: 0.071361, lr: 0.000200
+2023-08-11 05:40:17,637 - INFO - [Train] step: 796799, loss: 0.110731, lr: 0.000200
+2023-08-11 05:41:46,132 - INFO - [Train] step: 797199, loss: 0.149023, lr: 0.000200
+2023-08-11 05:43:14,508 - INFO - [Train] step: 797599, loss: 0.078104, lr: 0.000200
+2023-08-11 05:44:45,145 - INFO - [Train] step: 797999, loss: 0.098272, lr: 0.000200
+2023-08-11 05:46:13,668 - INFO - [Train] step: 798399, loss: 0.108390, lr: 0.000200
+2023-08-11 05:47:43,987 - INFO - [Train] step: 798799, loss: 0.070490, lr: 0.000200
+2023-08-11 05:49:12,585 - INFO - [Train] step: 799199, loss: 0.128257, lr: 0.000200
+2023-08-11 05:50:42,348 - INFO - [Train] step: 799599, loss: 0.070283, lr: 0.000200
+2023-08-11 05:52:12,465 - INFO - [Train] step: 799999, loss: 0.111413, lr: 0.000200
+2023-08-11 05:52:35,386 - INFO - End of training