aidenlee commited on
Commit
66f83fd
•
1 Parent(s): 3aa567a

First Commit

Browse files
SnowballTarget.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:795bac344cacb4640eb94f33fca3ac37cc1d7ea1e5bdfc8ad0526b028ce88618
3
  size 646532
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:717098b6d3c6caef564da5b2633636772400e9bec5148b8b24eb7627e4fec9c4
3
  size 646532
SnowballTarget/{SnowballTarget-49936.onnx → SnowballTarget-249984.onnx} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1883f0ad1b84d675a78604248c72c4b18e648fd36aedbb9a70855dd3aa3c6f74
3
  size 646532
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b11a58dd63fc44c77ee111bffafb94931cf330aded2747a32c91732d8e3ab8b
3
  size 646532
SnowballTarget/{SnowballTarget-49936.pt → SnowballTarget-249984.pt} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ae683b76d78ce01bc07bc254b747bbcb8efb921521889839fb10d98149fa1df7
3
  size 3843200
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39d27286ef73242cc6e47f70a450f4b016a61a83fabd88da118f33287493f2ed
3
  size 3843200
SnowballTarget/SnowballTarget-299944.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c6d111fce237ceeb4d64ddddbec803d4a058ae12f7c9d5d2c8c3bbf0b4783b0
3
+ size 646532
SnowballTarget/SnowballTarget-299944.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f797c2c0e48bfcd143ac98e7c55e2ccefddf2502b38e62972cdf57ddb8aac36b
3
+ size 3843200
SnowballTarget/SnowballTarget-349968.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de7829a9e0d660450b125ae9338e579d8642ad514885e084375fbcf19f467715
3
+ size 646532
SnowballTarget/SnowballTarget-349968.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46a4d23df970a1ac27b8891163c271b626a19e0b948e5aaece1d37dd15a8e8bc
3
+ size 3843200
SnowballTarget/SnowballTarget-399968.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:717098b6d3c6caef564da5b2633636772400e9bec5148b8b24eb7627e4fec9c4
3
+ size 646532
SnowballTarget/SnowballTarget-399968.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0aa32653dc96ee3c39f6b472d3dbee1a8698e272e55a648db8af58adbd5b32c5
3
+ size 3843200
SnowballTarget/SnowballTarget-400224.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:717098b6d3c6caef564da5b2633636772400e9bec5148b8b24eb7627e4fec9c4
3
+ size 646532
SnowballTarget/SnowballTarget-400224.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e026268f954f44fc85d6f43a564cdd0e81a31ea7fe3950e50bfcdaaecb535115
3
+ size 3843200
SnowballTarget/checkpoint.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9a40a7f7708e07f07933efd97745bc26463eeaf62e4aef10575f160ba860f4fa
3
  size 3843200
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e026268f954f44fc85d6f43a564cdd0e81a31ea7fe3950e50bfcdaaecb535115
3
  size 3843200
SnowballTarget/events.out.tfevents.1679878826.3bb84cbeccac.7343.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a6b65d54aa10eb2fb10366fe90faef72f53651c57fc4bfd4541bfb11ed1de37
3
+ size 1066
SnowballTarget/events.out.tfevents.1679878877.3bb84cbeccac.7628.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2921210c02ec13d501b84cb150362c90d7b94df2f03ac382de735091b49d6151
3
+ size 17394
config.json CHANGED
@@ -1 +1 @@
1
- {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 400000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml CHANGED
@@ -38,7 +38,7 @@ behaviors:
38
  init_path: null
39
  keep_checkpoints: 10
40
  even_checkpoints: false
41
- max_steps: 200000
42
  time_horizon: 64
43
  summary_freq: 10000
44
  threaded: true
@@ -67,7 +67,7 @@ checkpoint_settings:
67
  run_id: SnowballTarget1
68
  initialize_from: null
69
  load_model: false
70
- resume: false
71
  force: false
72
  train_model: false
73
  inference: false
 
38
  init_path: null
39
  keep_checkpoints: 10
40
  even_checkpoints: false
41
+ max_steps: 400000
42
  time_horizon: 64
43
  summary_freq: 10000
44
  threaded: true
 
67
  run_id: SnowballTarget1
68
  initialize_from: null
69
  load_model: false
70
+ resume: true
71
  force: false
72
  train_model: false
73
  inference: false
run_logs/Player-0.log CHANGED
@@ -2,9 +2,6 @@ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarge
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
5
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face
6
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/SnowballTarget
7
- Unable to load player prefs
8
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
10
  Forcing GfxDevice: Null
@@ -34,7 +31,7 @@ ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default
34
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
35
  FMOD initialized on nosound output
36
  Begin MonoManager ReloadAssembly
37
- - Completed reload, in 0.137 seconds
38
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
@@ -45,7 +42,7 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
45
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
46
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
47
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
48
- UnloadTime: 1.097572 ms
49
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
50
  requesting resize 84 x 84
51
  Setting up 1 worker threads for Enlighten.
@@ -53,7 +50,7 @@ Memory Statistics:
53
  [ALLOC_TEMP_TLS] TLS Allocator
54
  StackAllocators :
55
  [ALLOC_TEMP_MAIN]
56
- Peak usage frame count: [8.0 KB-16.0 KB]: 5369 frames, [16.0 KB-32.0 KB]: 91 frames, [2.0 MB-4.0 MB]: 1 frames
57
  Initial Block Size 4.0 MB
58
  Current Block Size 4.0 MB
59
  Peak Allocated Bytes 2.0 MB
@@ -169,22 +166,22 @@ Memory Statistics:
169
  Peak Allocated Bytes 0 B
170
  Overflow Count 0
171
  [ALLOC_DEFAULT] Dual Thread Allocator
172
- Peak main deferred allocation count 41
173
  [ALLOC_BUCKET]
174
  Large Block size 4.0 MB
175
  Used Block count 1
176
  Peak Allocated bytes 1.0 MB
177
  [ALLOC_DEFAULT_MAIN]
178
- Peak usage frame count: [4.0 MB-8.0 MB]: 5461 frames
179
  Requested Block Size 16.0 MB
180
  Peak Block count 1
181
- Peak Allocated memory 6.6 MB
182
  Peak Large allocation bytes 0 B
183
  [ALLOC_DEFAULT_THREAD]
184
- Peak usage frame count: [16.0 MB-32.0 MB]: 5461 frames
185
  Requested Block Size 16.0 MB
186
  Peak Block count 1
187
- Peak Allocated memory 17.8 MB
188
  Peak Large allocation bytes 16.0 MB
189
  [ALLOC_TEMP_JOB_1_FRAME]
190
  Initial Block Size 2.0 MB
@@ -213,13 +210,13 @@ Memory Statistics:
213
  Used Block count 1
214
  Peak Allocated bytes 1.0 MB
215
  [ALLOC_GFX_MAIN]
216
- Peak usage frame count: [32.0 KB-64.0 KB]: 4703 frames, [64.0 KB-128.0 KB]: 758 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
- Peak Allocated memory 67.7 KB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_GFX_THREAD]
222
- Peak usage frame count: [32.0 KB-64.0 KB]: 5461 frames
223
  Requested Block Size 16.0 MB
224
  Peak Block count 1
225
  Peak Allocated memory 39.6 KB
@@ -231,13 +228,13 @@ Memory Statistics:
231
  Used Block count 1
232
  Peak Allocated bytes 1.0 MB
233
  [ALLOC_CACHEOBJECTS_MAIN]
234
- Peak usage frame count: [0.5 MB-1.0 MB]: 5461 frames
235
  Requested Block Size 4.0 MB
236
  Peak Block count 1
237
  Peak Allocated memory 0.6 MB
238
  Peak Large allocation bytes 0 B
239
  [ALLOC_CACHEOBJECTS_THREAD]
240
- Peak usage frame count: [0.5 MB-1.0 MB]: 5460 frames, [2.0 MB-4.0 MB]: 1 frames
241
  Requested Block Size 4.0 MB
242
  Peak Block count 1
243
  Peak Allocated memory 2.2 MB
@@ -249,13 +246,13 @@ Memory Statistics:
249
  Used Block count 1
250
  Peak Allocated bytes 1.0 MB
251
  [ALLOC_TYPETREE_MAIN]
252
- Peak usage frame count: [0-1.0 KB]: 5461 frames
253
  Requested Block Size 2.0 MB
254
  Peak Block count 1
255
  Peak Allocated memory 1.0 KB
256
  Peak Large allocation bytes 0 B
257
  [ALLOC_TYPETREE_THREAD]
258
- Peak usage frame count: [1.0 KB-2.0 KB]: 5461 frames
259
  Requested Block Size 2.0 MB
260
  Peak Block count 1
261
  Peak Allocated memory 1.7 KB
 
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
 
 
 
5
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
7
  Forcing GfxDevice: Null
 
31
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
32
  FMOD initialized on nosound output
33
  Begin MonoManager ReloadAssembly
34
+ - Completed reload, in 0.098 seconds
35
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
36
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
 
42
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
43
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
44
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
45
+ UnloadTime: 0.826367 ms
46
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
  requesting resize 84 x 84
48
  Setting up 1 worker threads for Enlighten.
 
50
  [ALLOC_TEMP_TLS] TLS Allocator
51
  StackAllocators :
52
  [ALLOC_TEMP_MAIN]
53
+ Peak usage frame count: [8.0 KB-16.0 KB]: 5374 frames, [16.0 KB-32.0 KB]: 91 frames, [2.0 MB-4.0 MB]: 1 frames
54
  Initial Block Size 4.0 MB
55
  Current Block Size 4.0 MB
56
  Peak Allocated Bytes 2.0 MB
 
166
  Peak Allocated Bytes 0 B
167
  Overflow Count 0
168
  [ALLOC_DEFAULT] Dual Thread Allocator
169
+ Peak main deferred allocation count 32
170
  [ALLOC_BUCKET]
171
  Large Block size 4.0 MB
172
  Used Block count 1
173
  Peak Allocated bytes 1.0 MB
174
  [ALLOC_DEFAULT_MAIN]
175
+ Peak usage frame count: [4.0 MB-8.0 MB]: 5466 frames
176
  Requested Block Size 16.0 MB
177
  Peak Block count 1
178
+ Peak Allocated memory 6.8 MB
179
  Peak Large allocation bytes 0 B
180
  [ALLOC_DEFAULT_THREAD]
181
+ Peak usage frame count: [16.0 MB-32.0 MB]: 5466 frames
182
  Requested Block Size 16.0 MB
183
  Peak Block count 1
184
+ Peak Allocated memory 17.7 MB
185
  Peak Large allocation bytes 16.0 MB
186
  [ALLOC_TEMP_JOB_1_FRAME]
187
  Initial Block Size 2.0 MB
 
210
  Used Block count 1
211
  Peak Allocated bytes 1.0 MB
212
  [ALLOC_GFX_MAIN]
213
+ Peak usage frame count: [32.0 KB-64.0 KB]: 5304 frames, [64.0 KB-128.0 KB]: 162 frames
214
  Requested Block Size 16.0 MB
215
  Peak Block count 1
216
+ Peak Allocated memory 66.8 KB
217
  Peak Large allocation bytes 0 B
218
  [ALLOC_GFX_THREAD]
219
+ Peak usage frame count: [32.0 KB-64.0 KB]: 5466 frames
220
  Requested Block Size 16.0 MB
221
  Peak Block count 1
222
  Peak Allocated memory 39.6 KB
 
228
  Used Block count 1
229
  Peak Allocated bytes 1.0 MB
230
  [ALLOC_CACHEOBJECTS_MAIN]
231
+ Peak usage frame count: [0.5 MB-1.0 MB]: 5466 frames
232
  Requested Block Size 4.0 MB
233
  Peak Block count 1
234
  Peak Allocated memory 0.6 MB
235
  Peak Large allocation bytes 0 B
236
  [ALLOC_CACHEOBJECTS_THREAD]
237
+ Peak usage frame count: [0.5 MB-1.0 MB]: 5465 frames, [2.0 MB-4.0 MB]: 1 frames
238
  Requested Block Size 4.0 MB
239
  Peak Block count 1
240
  Peak Allocated memory 2.2 MB
 
246
  Used Block count 1
247
  Peak Allocated bytes 1.0 MB
248
  [ALLOC_TYPETREE_MAIN]
249
+ Peak usage frame count: [0-1.0 KB]: 5466 frames
250
  Requested Block Size 2.0 MB
251
  Peak Block count 1
252
  Peak Allocated memory 1.0 KB
253
  Peak Large allocation bytes 0 B
254
  [ALLOC_TYPETREE_THREAD]
255
+ Peak usage frame count: [1.0 KB-2.0 KB]: 5466 frames
256
  Requested Block Size 2.0 MB
257
  Peak Block count 1
258
  Peak Allocated memory 1.7 KB
run_logs/timers.json CHANGED
@@ -2,39 +2,39 @@
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
- "value": 1.0897740125656128,
6
- "min": 1.0897740125656128,
7
- "max": 2.870181083679199,
8
  "count": 20
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
- "value": 10405.162109375,
12
- "min": 10405.162109375,
13
- "max": 29456.66796875,
14
  "count": 20
15
  },
16
  "SnowballTarget.Step.mean": {
17
- "value": 199984.0,
18
- "min": 9952.0,
19
- "max": 199984.0,
20
  "count": 20
21
  },
22
  "SnowballTarget.Step.sum": {
23
- "value": 199984.0,
24
- "min": 9952.0,
25
- "max": 199984.0,
26
  "count": 20
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
- "value": 12.878593444824219,
30
- "min": 0.35659804940223694,
31
- "max": 12.878593444824219,
32
  "count": 20
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
- "value": 2511.32568359375,
36
- "min": 69.18002319335938,
37
- "max": 2602.80322265625,
38
  "count": 20
39
  },
40
  "SnowballTarget.Environment.EpisodeLength.mean": {
@@ -50,87 +50,87 @@
50
  "count": 20
51
  },
52
  "SnowballTarget.Losses.PolicyLoss.mean": {
53
- "value": 0.06695403067387101,
54
- "min": 0.06355376062289425,
55
- "max": 0.07204771310584071,
56
  "count": 20
57
  },
58
  "SnowballTarget.Losses.PolicyLoss.sum": {
59
- "value": 0.26781612269548405,
60
- "min": 0.254215042491577,
61
- "max": 0.3602385655292036,
62
  "count": 20
63
  },
64
  "SnowballTarget.Losses.ValueLoss.mean": {
65
- "value": 0.2089978097846695,
66
- "min": 0.1277618655323179,
67
- "max": 0.2719979605838364,
68
  "count": 20
69
  },
70
  "SnowballTarget.Losses.ValueLoss.sum": {
71
- "value": 0.835991239138678,
72
- "min": 0.5110474621292715,
73
- "max": 1.3599898029191821,
74
  "count": 20
75
  },
76
  "SnowballTarget.Policy.LearningRate.mean": {
77
- "value": 8.082097306000005e-06,
78
- "min": 8.082097306000005e-06,
79
- "max": 0.000291882002706,
80
  "count": 20
81
  },
82
  "SnowballTarget.Policy.LearningRate.sum": {
83
- "value": 3.232838922400002e-05,
84
- "min": 3.232838922400002e-05,
85
- "max": 0.00138516003828,
86
  "count": 20
87
  },
88
  "SnowballTarget.Policy.Epsilon.mean": {
89
- "value": 0.10269400000000001,
90
- "min": 0.10269400000000001,
91
- "max": 0.19729400000000002,
92
  "count": 20
93
  },
94
  "SnowballTarget.Policy.Epsilon.sum": {
95
- "value": 0.41077600000000003,
96
- "min": 0.41077600000000003,
97
- "max": 0.96172,
98
  "count": 20
99
  },
100
  "SnowballTarget.Policy.Beta.mean": {
101
- "value": 0.0001444306000000001,
102
- "min": 0.0001444306000000001,
103
- "max": 0.0048649706,
104
  "count": 20
105
  },
106
  "SnowballTarget.Policy.Beta.sum": {
107
- "value": 0.0005777224000000004,
108
- "min": 0.0005777224000000004,
109
- "max": 0.023089828,
110
  "count": 20
111
  },
112
  "SnowballTarget.Environment.CumulativeReward.mean": {
113
- "value": 25.136363636363637,
114
- "min": 3.6363636363636362,
115
- "max": 25.363636363636363,
116
  "count": 20
117
  },
118
  "SnowballTarget.Environment.CumulativeReward.sum": {
119
- "value": 1106.0,
120
- "min": 160.0,
121
- "max": 1395.0,
122
  "count": 20
123
  },
124
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
- "value": 25.136363636363637,
126
- "min": 3.6363636363636362,
127
- "max": 25.363636363636363,
128
  "count": 20
129
  },
130
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
- "value": 1106.0,
132
- "min": 160.0,
133
- "max": 1395.0,
134
  "count": 20
135
  },
136
  "SnowballTarget.IsTraining.mean": {
@@ -148,67 +148,67 @@
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
- "start_time_seconds": "1679877787",
152
  "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]",
153
- "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics",
154
  "mlagents_version": "0.31.0.dev0",
155
  "mlagents_envs_version": "0.31.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "1.11.0+cu102",
158
  "numpy_version": "1.21.2",
159
- "end_time_seconds": "1679878361"
160
  },
161
- "total": 574.670559729,
162
  "count": 1,
163
- "self": 0.5345473000000993,
164
  "children": {
165
  "run_training.setup": {
166
- "total": 0.13557108700001663,
167
  "count": 1,
168
- "self": 0.13557108700001663
169
  },
170
  "TrainerController.start_learning": {
171
- "total": 574.0004413419999,
172
  "count": 1,
173
- "self": 0.8287711129860327,
174
  "children": {
175
  "TrainerController._reset_env": {
176
- "total": 8.103373674000068,
177
  "count": 1,
178
- "self": 8.103373674000068
179
  },
180
  "TrainerController.advance": {
181
- "total": 564.9175672840136,
182
- "count": 18201,
183
- "self": 0.45096972800229196,
184
  "children": {
185
  "env_step": {
186
- "total": 564.4665975560113,
187
- "count": 18201,
188
- "self": 452.7151964480055,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
- "total": 111.34958194799503,
192
- "count": 18201,
193
- "self": 3.3059231159957108,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
- "total": 108.04365883199932,
197
- "count": 18201,
198
- "self": 108.04365883199932
199
  }
200
  }
201
  },
202
  "workers": {
203
- "total": 0.4018191600107457,
204
- "count": 18201,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
- "total": 571.8461111549937,
209
- "count": 18201,
210
  "is_parallel": true,
211
- "self": 254.13094844598493,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
@@ -217,48 +217,48 @@
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
- "total": 0.009034704999976384,
221
  "count": 1,
222
  "is_parallel": true,
223
- "self": 0.005563668000263533,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
- "total": 0.003471036999712851,
227
  "count": 10,
228
  "is_parallel": true,
229
- "self": 0.003471036999712851
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
- "total": 0.0435596169999144,
235
  "count": 1,
236
  "is_parallel": true,
237
- "self": 0.0007763869999735107,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
- "total": 0.0004736319999665284,
241
  "count": 1,
242
  "is_parallel": true,
243
- "self": 0.0004736319999665284
244
  },
245
  "communicator.exchange": {
246
- "total": 0.03926235300002645,
247
  "count": 1,
248
  "is_parallel": true,
249
- "self": 0.03926235300002645
250
  },
251
  "steps_from_proto": {
252
- "total": 0.0030472449999479068,
253
  "count": 1,
254
  "is_parallel": true,
255
- "self": 0.0007528269998147152,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
- "total": 0.0022944180001331915,
259
  "count": 10,
260
  "is_parallel": true,
261
- "self": 0.0022944180001331915
262
  }
263
  }
264
  }
@@ -267,34 +267,34 @@
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
- "total": 317.7151627090087,
271
- "count": 18200,
272
  "is_parallel": true,
273
- "self": 13.192048345028525,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
- "total": 7.112943056985728,
277
- "count": 18200,
278
  "is_parallel": true,
279
- "self": 7.112943056985728
280
  },
281
  "communicator.exchange": {
282
- "total": 254.9109031430031,
283
- "count": 18200,
284
  "is_parallel": true,
285
- "self": 254.9109031430031
286
  },
287
  "steps_from_proto": {
288
- "total": 42.49926816399136,
289
- "count": 18200,
290
  "is_parallel": true,
291
- "self": 8.800017762019706,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
- "total": 33.69925040197165,
295
- "count": 182000,
296
  "is_parallel": true,
297
- "self": 33.69925040197165
298
  }
299
  }
300
  }
@@ -309,9 +309,9 @@
309
  }
310
  },
311
  "trainer_threads": {
312
- "total": 0.00020665200008807005,
313
  "count": 1,
314
- "self": 0.00020665200008807005,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
@@ -320,36 +320,36 @@
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
- "total": 559.2931266498923,
324
- "count": 640724,
325
  "is_parallel": true,
326
- "self": 15.840208388902283,
327
  "children": {
328
  "process_trajectory": {
329
- "total": 303.64870942798905,
330
- "count": 640724,
331
  "is_parallel": true,
332
- "self": 302.792846830989,
333
  "children": {
334
  "RLTrainer._checkpoint": {
335
- "total": 0.8558625970000548,
336
  "count": 4,
337
  "is_parallel": true,
338
- "self": 0.8558625970000548
339
  }
340
  }
341
  },
342
  "_update_policy": {
343
- "total": 239.80420883300098,
344
  "count": 90,
345
  "is_parallel": true,
346
- "self": 83.43396546000167,
347
  "children": {
348
  "TorchPPOOptimizer.update": {
349
- "total": 156.3702433729993,
350
  "count": 4587,
351
  "is_parallel": true,
352
- "self": 156.3702433729993
353
  }
354
  }
355
  }
@@ -360,14 +360,14 @@
360
  }
361
  },
362
  "TrainerController._save_models": {
363
- "total": 0.15052261900018493,
364
  "count": 1,
365
- "self": 0.0011739010001292627,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
- "total": 0.14934871800005567,
369
  "count": 1,
370
- "self": 0.14934871800005567
371
  }
372
  }
373
  }
 
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 0.7914053201675415,
6
+ "min": 0.7395239472389221,
7
+ "max": 1.0724937915802002,
8
  "count": 20
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 8061.2548828125,
12
+ "min": 7238.7158203125,
13
+ "max": 10983.4091796875,
14
  "count": 20
15
  },
16
  "SnowballTarget.Step.mean": {
17
+ "value": 399968.0,
18
+ "min": 209936.0,
19
+ "max": 399968.0,
20
  "count": 20
21
  },
22
  "SnowballTarget.Step.sum": {
23
+ "value": 399968.0,
24
+ "min": 209936.0,
25
+ "max": 399968.0,
26
  "count": 20
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 13.424694061279297,
30
+ "min": 12.863568305969238,
31
+ "max": 13.596199989318848,
32
  "count": 20
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 2617.8154296875,
36
+ "min": 2469.80517578125,
37
+ "max": 2767.04541015625,
38
  "count": 20
39
  },
40
  "SnowballTarget.Environment.EpisodeLength.mean": {
 
50
  "count": 20
51
  },
52
  "SnowballTarget.Losses.PolicyLoss.mean": {
53
+ "value": 0.06790241125261175,
54
+ "min": 0.06417496013826024,
55
+ "max": 0.07435267957253197,
56
  "count": 20
57
  },
58
  "SnowballTarget.Losses.PolicyLoss.sum": {
59
+ "value": 0.271609645010447,
60
+ "min": 0.25669984055304096,
61
+ "max": 0.37176339786265983,
62
  "count": 20
63
  },
64
  "SnowballTarget.Losses.ValueLoss.mean": {
65
+ "value": 0.19967366433611103,
66
+ "min": 0.16358210274255744,
67
+ "max": 0.2097026512611146,
68
  "count": 20
69
  },
70
  "SnowballTarget.Losses.ValueLoss.sum": {
71
+ "value": 0.7986946573444441,
72
+ "min": 0.6543284109702298,
73
+ "max": 1.048513256305573,
74
  "count": 20
75
  },
76
  "SnowballTarget.Policy.LearningRate.mean": {
77
+ "value": 3.957098681000002e-06,
78
+ "min": 3.957098681000002e-06,
79
+ "max": 0.000145857051381,
80
  "count": 20
81
  },
82
  "SnowballTarget.Policy.LearningRate.sum": {
83
+ "value": 1.582839472400001e-05,
84
+ "min": 1.582839472400001e-05,
85
+ "max": 0.00069216026928,
86
  "count": 20
87
  },
88
  "SnowballTarget.Policy.Epsilon.mean": {
89
+ "value": 0.101319,
90
+ "min": 0.101319,
91
+ "max": 0.14861900000000003,
92
  "count": 20
93
  },
94
  "SnowballTarget.Policy.Epsilon.sum": {
95
+ "value": 0.405276,
96
+ "min": 0.405276,
97
+ "max": 0.73072,
98
  "count": 20
99
  },
100
  "SnowballTarget.Policy.Beta.mean": {
101
+ "value": 7.581810000000006e-05,
102
+ "min": 7.581810000000006e-05,
103
+ "max": 0.0024360881000000003,
104
  "count": 20
105
  },
106
  "SnowballTarget.Policy.Beta.sum": {
107
+ "value": 0.00030327240000000024,
108
+ "min": 0.00030327240000000024,
109
+ "max": 0.011562928000000002,
110
  "count": 20
111
  },
112
  "SnowballTarget.Environment.CumulativeReward.mean": {
113
+ "value": 26.136363636363637,
114
+ "min": 25.40909090909091,
115
+ "max": 26.636363636363637,
116
  "count": 20
117
  },
118
  "SnowballTarget.Environment.CumulativeReward.sum": {
119
+ "value": 1150.0,
120
+ "min": 1118.0,
121
+ "max": 1465.0,
122
  "count": 20
123
  },
124
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
+ "value": 26.136363636363637,
126
+ "min": 25.40909090909091,
127
+ "max": 26.636363636363637,
128
  "count": 20
129
  },
130
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
+ "value": 1150.0,
132
+ "min": 1118.0,
133
+ "max": 1465.0,
134
  "count": 20
135
  },
136
  "SnowballTarget.IsTraining.mean": {
 
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1679878874",
152
  "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]",
153
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics --resume",
154
  "mlagents_version": "0.31.0.dev0",
155
  "mlagents_envs_version": "0.31.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "1.11.0+cu102",
158
  "numpy_version": "1.21.2",
159
+ "end_time_seconds": "1679879452"
160
  },
161
+ "total": 578.5950579900002,
162
  "count": 1,
163
+ "self": 0.7875139050004236,
164
  "children": {
165
  "run_training.setup": {
166
+ "total": 0.12787517399988246,
167
  "count": 1,
168
+ "self": 0.12787517399988246
169
  },
170
  "TrainerController.start_learning": {
171
+ "total": 577.6796689109999,
172
  "count": 1,
173
+ "self": 0.8763217719767908,
174
  "children": {
175
  "TrainerController._reset_env": {
176
+ "total": 3.541371915999889,
177
  "count": 1,
178
+ "self": 3.541371915999889
179
  },
180
  "TrainerController.advance": {
181
+ "total": 573.0206384500232,
182
+ "count": 18217,
183
+ "self": 0.4247037960265061,
184
  "children": {
185
  "env_step": {
186
+ "total": 572.5959346539967,
187
+ "count": 18217,
188
+ "self": 461.32161100900294,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
+ "total": 110.86947813401434,
192
+ "count": 18217,
193
+ "self": 2.5469452100292074,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
+ "total": 108.32253292398514,
197
+ "count": 18217,
198
+ "self": 108.32253292398514
199
  }
200
  }
201
  },
202
  "workers": {
203
+ "total": 0.4048455109793849,
204
+ "count": 18217,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
+ "total": 575.5761968960053,
209
+ "count": 18217,
210
  "is_parallel": true,
211
+ "self": 254.10359240097273,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
 
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
+ "total": 0.002231082999969658,
221
  "count": 1,
222
  "is_parallel": true,
223
+ "self": 0.0006481899997652363,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
+ "total": 0.0015828930002044217,
227
  "count": 10,
228
  "is_parallel": true,
229
+ "self": 0.0015828930002044217
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
+ "total": 0.050761229000045205,
235
  "count": 1,
236
  "is_parallel": true,
237
+ "self": 0.0006805990001339524,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
+ "total": 0.0003413889999137609,
241
  "count": 1,
242
  "is_parallel": true,
243
+ "self": 0.0003413889999137609
244
  },
245
  "communicator.exchange": {
246
+ "total": 0.04752009300000282,
247
  "count": 1,
248
  "is_parallel": true,
249
+ "self": 0.04752009300000282
250
  },
251
  "steps_from_proto": {
252
+ "total": 0.002219147999994675,
253
  "count": 1,
254
  "is_parallel": true,
255
+ "self": 0.0004505099996094941,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
+ "total": 0.001768638000385181,
259
  "count": 10,
260
  "is_parallel": true,
261
+ "self": 0.001768638000385181
262
  }
263
  }
264
  }
 
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
+ "total": 321.47260449503256,
271
+ "count": 18216,
272
  "is_parallel": true,
273
+ "self": 12.923220877001768,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
+ "total": 6.977096945038056,
277
+ "count": 18216,
278
  "is_parallel": true,
279
+ "self": 6.977096945038056
280
  },
281
  "communicator.exchange": {
282
+ "total": 259.1599640960078,
283
+ "count": 18216,
284
  "is_parallel": true,
285
+ "self": 259.1599640960078
286
  },
287
  "steps_from_proto": {
288
+ "total": 42.412322576984934,
289
+ "count": 18216,
290
  "is_parallel": true,
291
+ "self": 8.915250689944742,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
+ "total": 33.49707188704019,
295
+ "count": 182160,
296
  "is_parallel": true,
297
+ "self": 33.49707188704019
298
  }
299
  }
300
  }
 
309
  }
310
  },
311
  "trainer_threads": {
312
+ "total": 0.00034158600010414375,
313
  "count": 1,
314
+ "self": 0.00034158600010414375,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
 
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
+ "total": 567.4594976457272,
324
+ "count": 645045,
325
  "is_parallel": true,
326
+ "self": 15.776210985784019,
327
  "children": {
328
  "process_trajectory": {
329
+ "total": 305.99285114094437,
330
+ "count": 645045,
331
  "is_parallel": true,
332
+ "self": 304.0477899739442,
333
  "children": {
334
  "RLTrainer._checkpoint": {
335
+ "total": 1.9450611670001763,
336
  "count": 4,
337
  "is_parallel": true,
338
+ "self": 1.9450611670001763
339
  }
340
  }
341
  },
342
  "_update_policy": {
343
+ "total": 245.6904355189988,
344
  "count": 90,
345
  "is_parallel": true,
346
+ "self": 83.20750559399994,
347
  "children": {
348
  "TorchPPOOptimizer.update": {
349
+ "total": 162.48292992499887,
350
  "count": 4587,
351
  "is_parallel": true,
352
+ "self": 162.48292992499887
353
  }
354
  }
355
  }
 
360
  }
361
  },
362
  "TrainerController._save_models": {
363
+ "total": 0.24099518699995315,
364
  "count": 1,
365
+ "self": 0.0031808020003154525,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
+ "total": 0.2378143849996377,
369
  "count": 1,
370
+ "self": 0.2378143849996377
371
  }
372
  }
373
  }
run_logs/training_status.json CHANGED
@@ -1,15 +1,6 @@
1
  {
2
  "SnowballTarget": {
3
  "checkpoints": [
4
- {
5
- "steps": 49936,
6
- "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-49936.onnx",
7
- "reward": 12.909090909090908,
8
- "creation_time": 1679877937.221222,
9
- "auxillary_file_paths": [
10
- "results/SnowballTarget1/SnowballTarget/SnowballTarget-49936.pt"
11
- ]
12
- },
13
  {
14
  "steps": 99960,
15
  "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-99960.onnx",
@@ -45,15 +36,69 @@
45
  "auxillary_file_paths": [
46
  "results/SnowballTarget1/SnowballTarget/SnowballTarget-200112.pt"
47
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48
  }
49
  ],
50
  "final_checkpoint": {
51
- "steps": 200112,
52
  "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
53
- "reward": 25.272727272727273,
54
- "creation_time": 1679878361.4416049,
55
  "auxillary_file_paths": [
56
- "results/SnowballTarget1/SnowballTarget/SnowballTarget-200112.pt"
57
  ]
58
  }
59
  },
 
1
  {
2
  "SnowballTarget": {
3
  "checkpoints": [
 
 
 
 
 
 
 
 
 
4
  {
5
  "steps": 99960,
6
  "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-99960.onnx",
 
36
  "auxillary_file_paths": [
37
  "results/SnowballTarget1/SnowballTarget/SnowballTarget-200112.pt"
38
  ]
39
+ },
40
+ {
41
+ "steps": 200112,
42
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-200112.onnx",
43
+ "reward": null,
44
+ "creation_time": 1679878826.420901,
45
+ "auxillary_file_paths": [
46
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-200112.pt"
47
+ ]
48
+ },
49
+ {
50
+ "steps": 249984,
51
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-249984.onnx",
52
+ "reward": 26.545454545454547,
53
+ "creation_time": 1679879023.2624993,
54
+ "auxillary_file_paths": [
55
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-249984.pt"
56
+ ]
57
+ },
58
+ {
59
+ "steps": 299944,
60
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-299944.onnx",
61
+ "reward": 26.0,
62
+ "creation_time": 1679879166.2183087,
63
+ "auxillary_file_paths": [
64
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-299944.pt"
65
+ ]
66
+ },
67
+ {
68
+ "steps": 349968,
69
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-349968.onnx",
70
+ "reward": 25.818181818181817,
71
+ "creation_time": 1679879310.2593782,
72
+ "auxillary_file_paths": [
73
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-349968.pt"
74
+ ]
75
+ },
76
+ {
77
+ "steps": 399968,
78
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-399968.onnx",
79
+ "reward": 25.181818181818183,
80
+ "creation_time": 1679879451.8105986,
81
+ "auxillary_file_paths": [
82
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-399968.pt"
83
+ ]
84
+ },
85
+ {
86
+ "steps": 400224,
87
+ "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-400224.onnx",
88
+ "reward": 25.181818181818183,
89
+ "creation_time": 1679879452.1035855,
90
+ "auxillary_file_paths": [
91
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-400224.pt"
92
+ ]
93
  }
94
  ],
95
  "final_checkpoint": {
96
+ "steps": 400224,
97
  "file_path": "results/SnowballTarget1/SnowballTarget.onnx",
98
+ "reward": 25.181818181818183,
99
+ "creation_time": 1679879452.1035855,
100
  "auxillary_file_paths": [
101
+ "results/SnowballTarget1/SnowballTarget/SnowballTarget-400224.pt"
102
  ]
103
  }
104
  },