Pyro-X2 commited on
Commit
c254071
·
verified ·
1 Parent(s): 5e58857

Push trained model

Browse files
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - SnowballTarget
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-SnowballTarget
8
+ ---
9
+
10
+ # **ppo** Agent playing **SnowballTarget**
11
+ This is a trained model of a **ppo** agent playing **SnowballTarget**
12
+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
22
+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
31
+ 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
32
+ 2. Step 1: Find your model_id: Pyro-X2/SnowBallTargetML-Agents
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
SnowballTarget.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3006f8fec61ba08a0a70680ef8f65785125085b439dff5f819ac09c54af01928
3
+ size 650646
SnowballTarget/SnowballTarget-149984.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e888c047b2741746b047fce4b7a0ceea8b8eed60e278a9b803d975faeb5711f9
3
+ size 650646
SnowballTarget/SnowballTarget-149984.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee098c2aa35085531d4d9356cbeab838dbc731ad719186bdf5ae4730f1feb493
3
+ size 3850075
SnowballTarget/SnowballTarget-199984.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3006f8fec61ba08a0a70680ef8f65785125085b439dff5f819ac09c54af01928
3
+ size 650646
SnowballTarget/SnowballTarget-199984.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22200fb4bc38fa01e732c3faf5f797e4ce49e604f16e6451f568a96bcb7f8cb0
3
+ size 3850075
SnowballTarget/SnowballTarget-200112.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3006f8fec61ba08a0a70680ef8f65785125085b439dff5f819ac09c54af01928
3
+ size 650646
SnowballTarget/SnowballTarget-200112.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c28a0b426911cb2034b08c09b4c1f4abda3693998359e1d87f3cccec07a62031
3
+ size 3850075
SnowballTarget/SnowballTarget-49936.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c031c36025b0ec6eb94dcb6dda7dc8899b3a3bbd0a5f6ff9226517cddd318ce
3
+ size 650646
SnowballTarget/SnowballTarget-49936.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cde9c33dd3ac819abcc2c9fe1dedc978d55ec36d5b16b8a7412dcb74b33245ca
3
+ size 3850000
SnowballTarget/SnowballTarget-63392.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37c4cdf0208be65f3f30b72fff445e2116cbb6c456a6ffde766ec39e58abc147
3
+ size 650646
SnowballTarget/SnowballTarget-63392.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b9f5879be4988135e9f09540d377f8976f4872a79b2dcc4a802579a5ce539ac
3
+ size 3850000
SnowballTarget/SnowballTarget-64.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed08b8091b046b86ab4d1a03ad1695644b3950fa6bca922e79e3c00e31af301f
3
+ size 649740
SnowballTarget/SnowballTarget-64.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea53fae63048d5a5526d2687590d321d60811a0f22f50073cf076397cab73f85
3
+ size 1286175
SnowballTarget/SnowballTarget-99960.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdbd8ce74d22cf176e7eb370008eb1c69a754203c924b6df5c0f7179101d767d
3
+ size 650646
SnowballTarget/SnowballTarget-99960.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9415438114d4af0d808829f971bddf035d3ce41055cd3d1a3b9e42753de533cf
3
+ size 3850000
SnowballTarget/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b280fb4322e58a371998039e04c760126559f35f865d1c5c86acc7284630582
3
+ size 3849250
SnowballTarget/events.out.tfevents.1735494441.jakub.8524.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66a8c41d4f6f15d39a2994613c0f906c17aa4e3da4a2464755fae88f6ab02372
3
+ size 18459
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.003, "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": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "../hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget.x86_64", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "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": false, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnownballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": true, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SnowballTarget:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
8
+ learning_rate: 0.003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ shared_critic: false
14
+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 50000
18
+ network_settings:
19
+ normalize: false
20
+ hidden_units: 256
21
+ num_layers: 2
22
+ vis_encode_type: simple
23
+ memory: null
24
+ goal_conditioning_type: hyper
25
+ deterministic: false
26
+ reward_signals:
27
+ extrinsic:
28
+ gamma: 0.99
29
+ strength: 1.0
30
+ network_settings:
31
+ normalize: false
32
+ hidden_units: 128
33
+ num_layers: 2
34
+ vis_encode_type: simple
35
+ memory: null
36
+ goal_conditioning_type: hyper
37
+ deterministic: false
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: false
45
+ self_play: null
46
+ behavioral_cloning: null
47
+ env_settings:
48
+ env_path: ../hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget.x86_64
49
+ env_args: null
50
+ base_port: 5005
51
+ num_envs: 1
52
+ num_areas: 1
53
+ timeout_wait: 60
54
+ seed: -1
55
+ max_lifetime_restarts: 10
56
+ restarts_rate_limit_n: 1
57
+ restarts_rate_limit_period_s: 60
58
+ engine_settings:
59
+ width: 84
60
+ height: 84
61
+ quality_level: 5
62
+ time_scale: 20
63
+ target_frame_rate: -1
64
+ capture_frame_rate: 60
65
+ no_graphics: false
66
+ no_graphics_monitor: false
67
+ environment_parameters: null
68
+ checkpoint_settings:
69
+ run_id: SnownballTarget1
70
+ initialize_from: null
71
+ load_model: false
72
+ resume: false
73
+ force: true
74
+ train_model: false
75
+ inference: false
76
+ results_dir: results
77
+ torch_settings:
78
+ device: null
79
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,338 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/home/jakub/machine_learning/rl/unity/hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/Managed'
2
+ Mono config path = '/home/jakub/machine_learning/rl/unity/hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
+ Preloaded 'lib_burst_generated.so'
4
+ Preloaded 'libgrpc_csharp_ext.x64.so'
5
+ Display 0 '0': 2560x1600 (primary device).
6
+ Desktop is 2560 x 1600 @ 165 Hz
7
+ Invalid initial resolution 84 x 84 - forcing to 100 x 100
8
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
+ [Subsystems] Discovering subsystems at path /home/jakub/machine_learning/rl/unity/hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
10
+ GfxDevice: creating device client; threaded=1; jobified=1
11
+ Renderer: Mesa Intel(R) Graphics (ADL GT2)
12
+ Vendor: Intel
13
+ Version: 4.6 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2
14
+ GLES: 0
15
+ GL_3DFX_texture_compression_FXT1 GL_AMD_conservative_depth GL_AMD_depth_clamp_separate GL_AMD_draw_buffers_blend GL_AMD_gpu_shader_int64 GL_AMD_multi_draw_indirect GL_AMD_performance_monitor GL_AMD_pinned_memory GL_AMD_query_buffer_object GL_AMD_seamless_cubemap_per_texture GL_AMD_shader_stencil_export GL_AMD_shader_trinary_minmax GL_AMD_texture_texture4 GL_AMD_vertex_shader_layer GL_AMD_vertex_shader_viewport_index GL_ANGLE_texture_compression_dxt3 GL_ANGLE_texture_compression_dxt5 GL_ARB_ES2_compatibility GL_ARB_ES3_1_compatibility GL_ARB_ES3_2_compatibility GL_ARB_ES3_compatibility GL_ARB_arrays_of_arrays GL_ARB_base_instance GL_ARB_blend_func_extended GL_ARB_buffer_storage GL_ARB_clear_buffer_object GL_ARB_clear_texture GL_ARB_clip_control GL_ARB_compressed_texture_pixel_storage GL_ARB_compute_shader GL_ARB_compute_variable_group_size GL_ARB_conditional_render_inverted GL_ARB_conservative_depth GL_ARB_copy_buffer GL_ARB_copy_image GL_ARB_cull_distance GL_ARB_debug_output GL_ARB_depth_buffer_float GL_ARB
16
+ _depth_clamp GL_ARB_derivative_control GL_ARB_direct_state_access GL_ARB_draw_buffers GL_ARB_draw_buffers_blend GL_ARB_draw_elements_base_vertex GL_ARB_draw_indirect GL_ARB_draw_instanced GL_ARB_enhanced_layouts GL_ARB_explicit_attrib_location GL_ARB_explicit_uniform_location GL_ARB_fragment_coord_conventions GL_ARB_fragment_layer_viewport GL_ARB_fragment_shader GL_ARB_fragment_shader_interlock GL_ARB_framebuffer_no_attachments GL_ARB_framebuffer_object GL_ARB_framebuffer_sRGB GL_ARB_get_program_binary GL_ARB_get_texture_sub_image GL_ARB_gl_spirv GL_ARB_gpu_shader5 GL_ARB_gpu_shader_fp64 GL_ARB_gpu_shader_int64 GL_ARB_half_float_pixel GL_ARB_half_float_vertex GL_ARB_indirect_parameters GL_ARB_instanced_arrays GL_ARB_internalformat_query GL_ARB_internalformat_query2 GL_ARB_invalidate_subdata GL_ARB_map_buffer_alignment GL_ARB_map_buffer_range GL_ARB_multi_bind GL_ARB_multi_draw_indirect GL_ARB_occlusion_query2 GL_ARB_parallel_shader_compile GL_ARB_pipeline_statistics_query GL_ARB_pixel_buffer_object GL_ARB_po
17
+ int_sprite GL_ARB_polygon_offset_clamp GL_ARB_post_depth_coverage GL_ARB_program_interface_query GL_ARB_provoking_vertex GL_ARB_query_buffer_object GL_ARB_robust_buffer_access_behavior GL_ARB_robustness GL_ARB_sample_shading GL_ARB_sampler_objects GL_ARB_seamless_cube_map GL_ARB_seamless_cubemap_per_texture GL_ARB_separate_shader_objects GL_ARB_shader_atomic_counter_ops GL_ARB_shader_atomic_counters GL_ARB_shader_ballot GL_ARB_shader_bit_encoding GL_ARB_shader_clock GL_ARB_shader_draw_parameters GL_ARB_shader_group_vote GL_ARB_shader_image_load_store GL_ARB_shader_image_size GL_ARB_shader_objects GL_ARB_shader_precision GL_ARB_shader_stencil_export GL_ARB_shader_storage_buffer_object GL_ARB_shader_subroutine GL_ARB_shader_texture_image_samples GL_ARB_shader_texture_lod GL_ARB_shader_viewport_layer_array GL_ARB_shading_language_420pack GL_ARB_shading_language_include GL_ARB_shading_language_packing GL_ARB_spirv_extensions GL_ARB_stencil_texturing GL_ARB_sync GL_ARB_tessellation_shader GL_ARB_texture_barrier G
18
+ L_ARB_texture_buffer_object GL_ARB_texture_buffer_object_rgb32 GL_ARB_texture_buffer_range GL_ARB_texture_compression_bptc GL_ARB_texture_compression_rgtc GL_ARB_texture_cube_map_array GL_ARB_texture_filter_anisotropic GL_ARB_texture_float GL_ARB_texture_gather GL_ARB_texture_mirror_clamp_to_edge GL_ARB_texture_multisample GL_ARB_texture_non_power_of_two GL_ARB_texture_query_levels GL_ARB_texture_query_lod GL_ARB_texture_rectangle GL_ARB_texture_rg GL_ARB_texture_rgb10_a2ui GL_ARB_texture_stencil8 GL_ARB_texture_storage GL_ARB_texture_storage_multisample GL_ARB_texture_swizzle GL_ARB_texture_view GL_ARB_timer_query GL_ARB_transform_feedback2 GL_ARB_transform_feedback3 GL_ARB_transform_feedback_instanced GL_ARB_transform_feedback_overflow_query GL_ARB_uniform_buffer_object GL_ARB_vertex_array_bgra GL_ARB_vertex_array_object GL_ARB_vertex_attrib_64bit GL_ARB_vertex_attrib_binding GL_ARB_vertex_buffer_object GL_ARB_vertex_shader GL_ARB_vertex_type_10f_11f_11f_rev GL_ARB_vertex_type_2_10_10_10_rev GL_ARB_viewpor
19
+ t_array GL_ATI_blend_equation_separate GL_ATI_texture_float GL_EXT_EGL_image_storage GL_EXT_EGL_sync GL_EXT_abgr GL_EXT_blend_equation_separate GL_EXT_debug_label GL_EXT_demote_to_helper_invocation GL_EXT_depth_bounds_test GL_EXT_draw_buffers2 GL_EXT_draw_instanced GL_EXT_framebuffer_blit GL_EXT_framebuffer_multisample GL_EXT_framebuffer_multisample_blit_scaled GL_EXT_framebuffer_object GL_EXT_framebuffer_sRGB GL_EXT_memory_object GL_EXT_memory_object_fd GL_EXT_packed_depth_stencil GL_EXT_packed_float GL_EXT_pixel_buffer_object GL_EXT_polygon_offset_clamp GL_EXT_provoking_vertex GL_EXT_semaphore GL_EXT_semaphore_fd GL_EXT_shader_framebuffer_fetch GL_EXT_shader_framebuffer_fetch_non_coherent GL_EXT_shader_integer_mix GL_EXT_shader_samples_identical GL_EXT_texture_array GL_EXT_texture_compression_dxt1 GL_EXT_texture_compression_rgtc GL_EXT_texture_compression_s3tc GL_EXT_texture_filter_anisotropic GL_EXT_texture_integer GL_EXT_texture_sRGB GL_EXT_texture_sRGB_R8 GL_EXT_texture_sRGB_decode GL_EXT_texture_shadow
20
+ _lod GL_EXT_texture_shared_exponent GL_EXT_texture_snorm GL_EXT_texture_swizzle GL_EXT_timer_query GL_EXT_transform_feedback GL_EXT_vertex_array_bgra GL_EXT_vertex_attrib_64bit GL_IBM_multimode_draw_arrays GL_INTEL_blackhole_render GL_INTEL_conservative_rasterization GL_INTEL_performance_query GL_INTEL_shader_atomic_float_minmax GL_INTEL_shader_integer_functions2 GL_KHR_blend_equation_advanced GL_KHR_blend_equation_advanced_coherent GL_KHR_context_flush_control GL_KHR_debug GL_KHR_no_error GL_KHR_parallel_shader_compile GL_KHR_robust_buffer_access_behavior GL_KHR_robustness GL_KHR_texture_compression_astc_ldr GL_KHR_texture_compression_astc_sliced_3d GL_MESA_framebuffer_flip_y GL_MESA_pack_invert GL_MESA_shader_integer_functions GL_MESA_texture_signed_rgba GL_NV_alpha_to_coverage_dither_control GL_NV_compute_shader_derivatives GL_NV_conditional_render GL_NV_copy_image GL_NV_depth_clamp GL_NV_fragment_shader_interlock GL_NV_packed_depth_stencil GL_NV_texture_barrier GL_OES_EGL_image GL_S3_s3tc
21
+ OPENGL LOG: Creating OpenGL 4.6 graphics device ; Context level <OpenGL 4.5> ; Context handle 26120384
22
+ Begin MonoManager ReloadAssembly
23
+ - Completed reload, in 0.045 seconds
24
+ Default vsync count 1
25
+ requesting resize 84 x 84
26
+ resizing window to 84 x 84
27
+ Desktop is 2560 x 1600 @ 165 Hz
28
+ UnloadTime: 1.696322 ms
29
+ requesting resize 84 x 84
30
+ resizing window to 84 x 84
31
+ Desktop is 2560 x 1600 @ 165 Hz
32
+ Setting up 10 worker threads for Enlighten.
33
+ Memory Statistics:
34
+ [ALLOC_TEMP_TLS] TLS Allocator
35
+ StackAllocators :
36
+ [ALLOC_TEMP_MAIN]
37
+ Peak usage frame count: [8.0 KB-16.0 KB]: 5367 frames, [16.0 KB-32.0 KB]: 90 frames, [2.0 MB-4.0 MB]: 1 frames
38
+ Initial Block Size 4.0 MB
39
+ Current Block Size 4.0 MB
40
+ Peak Allocated Bytes 2.0 MB
41
+ Overflow Count 0
42
+ [ALLOC_TEMP_Job.Worker 18]
43
+ Initial Block Size 256.0 KB
44
+ Current Block Size 256.0 KB
45
+ Peak Allocated Bytes 6.8 KB
46
+ Overflow Count 0
47
+ [ALLOC_TEMP_Loading.PreloadManager]
48
+ Initial Block Size 256.0 KB
49
+ Current Block Size 304.0 KB
50
+ Peak Allocated Bytes 229.0 KB
51
+ Overflow Count 4
52
+ [ALLOC_TEMP_Loading.AsyncRead]
53
+ Initial Block Size 64.0 KB
54
+ Current Block Size 64.0 KB
55
+ Peak Allocated Bytes 282 B
56
+ Overflow Count 0
57
+ [ALLOC_TEMP_Background Job.Worker 8]
58
+ Initial Block Size 32.0 KB
59
+ Current Block Size 32.0 KB
60
+ Peak Allocated Bytes 0 B
61
+ Overflow Count 0
62
+ [ALLOC_TEMP_Job.Worker 6]
63
+ Initial Block Size 256.0 KB
64
+ Current Block Size 256.0 KB
65
+ Peak Allocated Bytes 20.3 KB
66
+ Overflow Count 0
67
+ [ALLOC_TEMP_Job.Worker 0]
68
+ Initial Block Size 256.0 KB
69
+ Current Block Size 256.0 KB
70
+ Peak Allocated Bytes 6.8 KB
71
+ Overflow Count 0
72
+ [ALLOC_TEMP_Background Job.Worker 10]
73
+ Initial Block Size 32.0 KB
74
+ Current Block Size 32.0 KB
75
+ Peak Allocated Bytes 0 B
76
+ Overflow Count 0
77
+ [ALLOC_TEMP_Background Job.Worker 9]
78
+ Initial Block Size 32.0 KB
79
+ Current Block Size 32.0 KB
80
+ Peak Allocated Bytes 0 B
81
+ Overflow Count 0
82
+ [ALLOC_TEMP_Job.Worker 5]
83
+ Initial Block Size 256.0 KB
84
+ Current Block Size 256.0 KB
85
+ Peak Allocated Bytes 6.8 KB
86
+ Overflow Count 0
87
+ [ALLOC_TEMP_Background Job.Worker 14]
88
+ Initial Block Size 32.0 KB
89
+ Current Block Size 32.0 KB
90
+ Peak Allocated Bytes 0 B
91
+ Overflow Count 0
92
+ [ALLOC_TEMP_Job.Worker 16]
93
+ Initial Block Size 256.0 KB
94
+ Current Block Size 256.0 KB
95
+ Peak Allocated Bytes 6.8 KB
96
+ Overflow Count 0
97
+ [ALLOC_TEMP_Background Job.Worker 6]
98
+ Initial Block Size 32.0 KB
99
+ Current Block Size 32.0 KB
100
+ Peak Allocated Bytes 0 B
101
+ Overflow Count 0
102
+ [ALLOC_TEMP_Job.Worker 4]
103
+ Initial Block Size 256.0 KB
104
+ Current Block Size 256.0 KB
105
+ Peak Allocated Bytes 6.8 KB
106
+ Overflow Count 0
107
+ [ALLOC_TEMP_Job.Worker 14]
108
+ Initial Block Size 256.0 KB
109
+ Current Block Size 256.0 KB
110
+ Peak Allocated Bytes 6.8 KB
111
+ Overflow Count 0
112
+ [ALLOC_TEMP_Job.Worker 17]
113
+ Initial Block Size 256.0 KB
114
+ Current Block Size 256.0 KB
115
+ Peak Allocated Bytes 6.8 KB
116
+ Overflow Count 0
117
+ [ALLOC_TEMP_Job.Worker 3]
118
+ Initial Block Size 256.0 KB
119
+ Current Block Size 256.0 KB
120
+ Peak Allocated Bytes 6.8 KB
121
+ Overflow Count 0
122
+ [ALLOC_TEMP_Job.Worker 13]
123
+ Initial Block Size 256.0 KB
124
+ Current Block Size 256.0 KB
125
+ Peak Allocated Bytes 6.8 KB
126
+ Overflow Count 0
127
+ [ALLOC_TEMP_Background Job.Worker 12]
128
+ Initial Block Size 32.0 KB
129
+ Current Block Size 32.0 KB
130
+ Peak Allocated Bytes 0 B
131
+ Overflow Count 0
132
+ [ALLOC_TEMP_EnlightenWorker] x 10
133
+ Initial Block Size 64.0 KB
134
+ Current Block Size 64.0 KB
135
+ Peak Allocated Bytes 0 B
136
+ Overflow Count 0
137
+ [ALLOC_TEMP_Background Job.Worker 15]
138
+ Initial Block Size 32.0 KB
139
+ Current Block Size 32.0 KB
140
+ Peak Allocated Bytes 0 B
141
+ Overflow Count 0
142
+ [ALLOC_TEMP_Background Job.Worker 1]
143
+ Initial Block Size 32.0 KB
144
+ Current Block Size 32.0 KB
145
+ Peak Allocated Bytes 0 B
146
+ Overflow Count 0
147
+ [ALLOC_TEMP_Background Job.Worker 2]
148
+ Initial Block Size 32.0 KB
149
+ Current Block Size 32.0 KB
150
+ Peak Allocated Bytes 0 B
151
+ Overflow Count 0
152
+ [ALLOC_TEMP_Background Job.Worker 7]
153
+ Initial Block Size 32.0 KB
154
+ Current Block Size 32.0 KB
155
+ Peak Allocated Bytes 0 B
156
+ Overflow Count 0
157
+ [ALLOC_TEMP_UnityGfxDeviceWorker]
158
+ Initial Block Size 256.0 KB
159
+ Current Block Size 256.0 KB
160
+ Peak Allocated Bytes 45.6 KB
161
+ Overflow Count 0
162
+ [ALLOC_TEMP_AssetGarbageCollectorHelper] x 19
163
+ Initial Block Size 64.0 KB
164
+ Current Block Size 64.0 KB
165
+ Peak Allocated Bytes 0 B
166
+ Overflow Count 0
167
+ [ALLOC_TEMP_Background Job.Worker 5]
168
+ Initial Block Size 32.0 KB
169
+ Current Block Size 32.0 KB
170
+ Peak Allocated Bytes 0 B
171
+ Overflow Count 0
172
+ [ALLOC_TEMP_Job.Worker 9]
173
+ Initial Block Size 256.0 KB
174
+ Current Block Size 256.0 KB
175
+ Peak Allocated Bytes 6.8 KB
176
+ Overflow Count 0
177
+ [ALLOC_TEMP_Background Job.Worker 13]
178
+ Initial Block Size 32.0 KB
179
+ Current Block Size 32.0 KB
180
+ Peak Allocated Bytes 0 B
181
+ Overflow Count 0
182
+ [ALLOC_TEMP_Job.Worker 8]
183
+ Initial Block Size 256.0 KB
184
+ Current Block Size 256.0 KB
185
+ Peak Allocated Bytes 6.8 KB
186
+ Overflow Count 0
187
+ [ALLOC_TEMP_Job.Worker 7]
188
+ Initial Block Size 256.0 KB
189
+ Current Block Size 256.0 KB
190
+ Peak Allocated Bytes 6.8 KB
191
+ Overflow Count 0
192
+ [ALLOC_TEMP_Job.Worker 1]
193
+ Initial Block Size 256.0 KB
194
+ Current Block Size 256.0 KB
195
+ Peak Allocated Bytes 6.8 KB
196
+ Overflow Count 0
197
+ [ALLOC_TEMP_Job.Worker 2]
198
+ Initial Block Size 256.0 KB
199
+ Current Block Size 256.0 KB
200
+ Peak Allocated Bytes 6.8 KB
201
+ Overflow Count 0
202
+ [ALLOC_TEMP_Background Job.Worker 3]
203
+ Initial Block Size 32.0 KB
204
+ Current Block Size 32.0 KB
205
+ Peak Allocated Bytes 0 B
206
+ Overflow Count 0
207
+ [ALLOC_TEMP_Background Job.Worker 11]
208
+ Initial Block Size 32.0 KB
209
+ Current Block Size 32.0 KB
210
+ Peak Allocated Bytes 0 B
211
+ Overflow Count 0
212
+ [ALLOC_TEMP_Job.Worker 10]
213
+ Initial Block Size 256.0 KB
214
+ Current Block Size 256.0 KB
215
+ Peak Allocated Bytes 6.8 KB
216
+ Overflow Count 0
217
+ [ALLOC_TEMP_Background Job.Worker 0]
218
+ Initial Block Size 32.0 KB
219
+ Current Block Size 32.0 KB
220
+ Peak Allocated Bytes 0 B
221
+ Overflow Count 0
222
+ [ALLOC_TEMP_Job.Worker 15]
223
+ Initial Block Size 256.0 KB
224
+ Current Block Size 256.0 KB
225
+ Peak Allocated Bytes 6.8 KB
226
+ Overflow Count 0
227
+ [ALLOC_TEMP_Job.Worker 11]
228
+ Initial Block Size 256.0 KB
229
+ Current Block Size 256.0 KB
230
+ Peak Allocated Bytes 6.8 KB
231
+ Overflow Count 0
232
+ [ALLOC_TEMP_Job.Worker 12]
233
+ Initial Block Size 256.0 KB
234
+ Current Block Size 256.0 KB
235
+ Peak Allocated Bytes 6.8 KB
236
+ Overflow Count 0
237
+ [ALLOC_TEMP_Background Job.Worker 4]
238
+ Initial Block Size 32.0 KB
239
+ Current Block Size 32.0 KB
240
+ Peak Allocated Bytes 0 B
241
+ Overflow Count 0
242
+ [ALLOC_TEMP_BatchDeleteObjects]
243
+ Initial Block Size 64.0 KB
244
+ Current Block Size 64.0 KB
245
+ Peak Allocated Bytes 0 B
246
+ Overflow Count 0
247
+ [ALLOC_DEFAULT] Dual Thread Allocator
248
+ Peak main deferred allocation count 41
249
+ [ALLOC_BUCKET]
250
+ Large Block size 4.0 MB
251
+ Used Block count 1
252
+ Peak Allocated bytes 1.3 MB
253
+ [ALLOC_DEFAULT_MAIN]
254
+ Peak usage frame count: [8.0 MB-16.0 MB]: 5458 frames
255
+ Requested Block Size 16.0 MB
256
+ Peak Block count 2
257
+ Peak Allocated memory 15.3 MB
258
+ Peak Large allocation bytes 0 B
259
+ [ALLOC_DEFAULT_THREAD]
260
+ Peak usage frame count: [16.0 MB-32.0 MB]: 5458 frames
261
+ Requested Block Size 16.0 MB
262
+ Peak Block count 1
263
+ Peak Allocated memory 17.4 MB
264
+ Peak Large allocation bytes 16.0 MB
265
+ [ALLOC_TEMP_JOB_1_FRAME]
266
+ Initial Block Size 2.0 MB
267
+ Used Block Count 1
268
+ Overflow Count (too large) 0
269
+ Overflow Count (full) 0
270
+ [ALLOC_TEMP_JOB_2_FRAMES]
271
+ Initial Block Size 2.0 MB
272
+ Used Block Count 1
273
+ Overflow Count (too large) 0
274
+ Overflow Count (full) 0
275
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
276
+ Initial Block Size 2.0 MB
277
+ Used Block Count 2
278
+ Overflow Count (too large) 0
279
+ Overflow Count (full) 0
280
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
281
+ Initial Block Size 1.0 MB
282
+ Used Block Count 3
283
+ Overflow Count (too large) 0
284
+ Overflow Count (full) 0
285
+ [ALLOC_GFX] Dual Thread Allocator
286
+ Peak main deferred allocation count 1
287
+ [ALLOC_BUCKET]
288
+ Large Block size 4.0 MB
289
+ Used Block count 1
290
+ Peak Allocated bytes 1.3 MB
291
+ [ALLOC_GFX_MAIN]
292
+ Peak usage frame count: [32.0 KB-64.0 KB]: 494 frames, [64.0 KB-128.0 KB]: 4963 frames, [2.0 MB-4.0 MB]: 1 frames
293
+ Requested Block Size 16.0 MB
294
+ Peak Block count 1
295
+ Peak Allocated memory 2.7 MB
296
+ Peak Large allocation bytes 0 B
297
+ [ALLOC_GFX_THREAD]
298
+ Peak usage frame count: [0.5 MB-1.0 MB]: 5458 frames
299
+ Requested Block Size 16.0 MB
300
+ Peak Block count 1
301
+ Peak Allocated memory 0.9 MB
302
+ Peak Large allocation bytes 0 B
303
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
304
+ Peak main deferred allocation count 4
305
+ [ALLOC_BUCKET]
306
+ Large Block size 4.0 MB
307
+ Used Block count 1
308
+ Peak Allocated bytes 1.3 MB
309
+ [ALLOC_CACHEOBJECTS_MAIN]
310
+ Peak usage frame count: [1.0 MB-2.0 MB]: 5458 frames
311
+ Requested Block Size 4.0 MB
312
+ Peak Block count 1
313
+ Peak Allocated memory 1.2 MB
314
+ Peak Large allocation bytes 0 B
315
+ [ALLOC_CACHEOBJECTS_THREAD]
316
+ Peak usage frame count: [2.0 MB-4.0 MB]: 5457 frames, [4.0 MB-8.0 MB]: 1 frames
317
+ Requested Block Size 4.0 MB
318
+ Peak Block count 2
319
+ Peak Allocated memory 5.2 MB
320
+ Peak Large allocation bytes 0 B
321
+ [ALLOC_TYPETREE] Dual Thread Allocator
322
+ Peak main deferred allocation count 0
323
+ [ALLOC_BUCKET]
324
+ Large Block size 4.0 MB
325
+ Used Block count 1
326
+ Peak Allocated bytes 1.3 MB
327
+ [ALLOC_TYPETREE_MAIN]
328
+ Peak usage frame count: [0-1.0 KB]: 5458 frames
329
+ Requested Block Size 2.0 MB
330
+ Peak Block count 1
331
+ Peak Allocated memory 1.0 KB
332
+ Peak Large allocation bytes 0 B
333
+ [ALLOC_TYPETREE_THREAD]
334
+ Peak usage frame count: [1.0 KB-2.0 KB]: 5458 frames
335
+ Requested Block Size 2.0 MB
336
+ Peak Block count 1
337
+ Peak Allocated memory 1.7 KB
338
+ Peak Large allocation bytes 0 B
run_logs/timers.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 1.0865230560302734,
6
+ "min": 1.0865230560302734,
7
+ "max": 2.834765911102295,
8
+ "count": 20
9
+ },
10
+ "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 10326.3154296875,
12
+ "min": 10326.3154296875,
13
+ "max": 28937.291015625,
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": 13.521689414978027,
30
+ "min": 0.31581056118011475,
31
+ "max": 13.521689414978027,
32
+ "count": 20
33
+ },
34
+ "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 2636.7294921875,
36
+ "min": 61.267250061035156,
37
+ "max": 2735.306640625,
38
+ "count": 20
39
+ },
40
+ "SnowballTarget.Losses.PolicyLoss.mean": {
41
+ "value": 0.07142925126747429,
42
+ "min": 0.06319557402286377,
43
+ "max": 0.07409184812108743,
44
+ "count": 20
45
+ },
46
+ "SnowballTarget.Losses.PolicyLoss.sum": {
47
+ "value": 0.28571700506989717,
48
+ "min": 0.2527822960914551,
49
+ "max": 0.3542521183815053,
50
+ "count": 20
51
+ },
52
+ "SnowballTarget.Losses.ValueLoss.mean": {
53
+ "value": 0.18566032323767157,
54
+ "min": 0.16499350835482463,
55
+ "max": 0.2596227661067364,
56
+ "count": 20
57
+ },
58
+ "SnowballTarget.Losses.ValueLoss.sum": {
59
+ "value": 0.7426412929506863,
60
+ "min": 0.6599740334192985,
61
+ "max": 1.2272740161302043,
62
+ "count": 20
63
+ },
64
+ "SnowballTarget.Policy.LearningRate.mean": {
65
+ "value": 8.082009730600007e-05,
66
+ "min": 8.082009730600007e-05,
67
+ "max": 0.0029188200027059994,
68
+ "count": 20
69
+ },
70
+ "SnowballTarget.Policy.LearningRate.sum": {
71
+ "value": 0.00032328038922400026,
72
+ "min": 0.00032328038922400026,
73
+ "max": 0.013851600038280001,
74
+ "count": 20
75
+ },
76
+ "SnowballTarget.Policy.Epsilon.mean": {
77
+ "value": 0.10269400000000001,
78
+ "min": 0.10269400000000001,
79
+ "max": 0.19729400000000002,
80
+ "count": 20
81
+ },
82
+ "SnowballTarget.Policy.Epsilon.sum": {
83
+ "value": 0.41077600000000003,
84
+ "min": 0.41077600000000003,
85
+ "max": 0.96172,
86
+ "count": 20
87
+ },
88
+ "SnowballTarget.Policy.Beta.mean": {
89
+ "value": 0.0001444306000000001,
90
+ "min": 0.0001444306000000001,
91
+ "max": 0.0048649706,
92
+ "count": 20
93
+ },
94
+ "SnowballTarget.Policy.Beta.sum": {
95
+ "value": 0.0005777224000000004,
96
+ "min": 0.0005777224000000004,
97
+ "max": 0.023089828,
98
+ "count": 20
99
+ },
100
+ "SnowballTarget.Environment.EpisodeLength.mean": {
101
+ "value": 199.0,
102
+ "min": 199.0,
103
+ "max": 199.0,
104
+ "count": 20
105
+ },
106
+ "SnowballTarget.Environment.EpisodeLength.sum": {
107
+ "value": 8756.0,
108
+ "min": 8756.0,
109
+ "max": 10945.0,
110
+ "count": 20
111
+ },
112
+ "SnowballTarget.Environment.CumulativeReward.mean": {
113
+ "value": 26.522727272727273,
114
+ "min": 4.159090909090909,
115
+ "max": 26.527272727272727,
116
+ "count": 20
117
+ },
118
+ "SnowballTarget.Environment.CumulativeReward.sum": {
119
+ "value": 1167.0,
120
+ "min": 183.0,
121
+ "max": 1459.0,
122
+ "count": 20
123
+ },
124
+ "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
+ "value": 26.522727272727273,
126
+ "min": 4.159090909090909,
127
+ "max": 26.527272727272727,
128
+ "count": 20
129
+ },
130
+ "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
+ "value": 1167.0,
132
+ "min": 183.0,
133
+ "max": 1459.0,
134
+ "count": 20
135
+ },
136
+ "SnowballTarget.IsTraining.mean": {
137
+ "value": 1.0,
138
+ "min": 1.0,
139
+ "max": 1.0,
140
+ "count": 20
141
+ },
142
+ "SnowballTarget.IsTraining.sum": {
143
+ "value": 1.0,
144
+ "min": 1.0,
145
+ "max": 1.0,
146
+ "count": 20
147
+ }
148
+ },
149
+ "metadata": {
150
+ "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1735494438",
152
+ "python_version": "3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0]",
153
+ "command_line_arguments": "/home/jakub/.local/bin/mlagents-learn config/ppo/SnowballTarget.yaml --env=../hugging_face_rl_course/training-envs-executables/linux/SnowballTarget/SnowballTarget.x86_64 --run-id=SnownballTarget1 --force",
154
+ "mlagents_version": "1.1.0",
155
+ "mlagents_envs_version": "1.1.0",
156
+ "communication_protocol_version": "1.5.0",
157
+ "pytorch_version": "2.4.0+cu121",
158
+ "numpy_version": "1.23.5",
159
+ "end_time_seconds": "1735494616"
160
+ },
161
+ "total": 178.46247538099988,
162
+ "count": 1,
163
+ "self": 0.21778031699977873,
164
+ "children": {
165
+ "run_training.setup": {
166
+ "total": 0.013789022000082696,
167
+ "count": 1,
168
+ "self": 0.013789022000082696
169
+ },
170
+ "TrainerController.start_learning": {
171
+ "total": 178.23090604200002,
172
+ "count": 1,
173
+ "self": 0.2179639299961309,
174
+ "children": {
175
+ "TrainerController._reset_env": {
176
+ "total": 3.310624281999935,
177
+ "count": 1,
178
+ "self": 3.310624281999935
179
+ },
180
+ "TrainerController.advance": {
181
+ "total": 174.66699410400406,
182
+ "count": 18192,
183
+ "self": 0.21197300500807614,
184
+ "children": {
185
+ "env_step": {
186
+ "total": 128.30234109998491,
187
+ "count": 18192,
188
+ "self": 98.53425444696336,
189
+ "children": {
190
+ "SubprocessEnvManager._take_step": {
191
+ "total": 29.6297942860092,
192
+ "count": 18192,
193
+ "self": 0.6681960030130085,
194
+ "children": {
195
+ "TorchPolicy.evaluate": {
196
+ "total": 28.961598282996192,
197
+ "count": 18192,
198
+ "self": 28.961598282996192
199
+ }
200
+ }
201
+ },
202
+ "workers": {
203
+ "total": 0.1382923670123546,
204
+ "count": 18192,
205
+ "self": 0.0,
206
+ "children": {
207
+ "worker_root": {
208
+ "total": 177.83709484299652,
209
+ "count": 18192,
210
+ "is_parallel": true,
211
+ "self": 92.94755295702385,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.0,
215
+ "count": 0,
216
+ "is_parallel": true,
217
+ "self": 0.0,
218
+ "children": {
219
+ "steps_from_proto": {
220
+ "total": 0.0009683749999567226,
221
+ "count": 1,
222
+ "is_parallel": true,
223
+ "self": 0.0002434739999443991,
224
+ "children": {
225
+ "_process_rank_one_or_two_observation": {
226
+ "total": 0.0007249010000123235,
227
+ "count": 10,
228
+ "is_parallel": true,
229
+ "self": 0.0007249010000123235
230
+ }
231
+ }
232
+ },
233
+ "UnityEnvironment.step": {
234
+ "total": 0.01730880500008425,
235
+ "count": 1,
236
+ "is_parallel": true,
237
+ "self": 0.000189036000165288,
238
+ "children": {
239
+ "UnityEnvironment._generate_step_input": {
240
+ "total": 0.00012750899986713193,
241
+ "count": 1,
242
+ "is_parallel": true,
243
+ "self": 0.00012750899986713193
244
+ },
245
+ "communicator.exchange": {
246
+ "total": 0.01646294400006809,
247
+ "count": 1,
248
+ "is_parallel": true,
249
+ "self": 0.01646294400006809
250
+ },
251
+ "steps_from_proto": {
252
+ "total": 0.0005293159999837371,
253
+ "count": 1,
254
+ "is_parallel": true,
255
+ "self": 0.00011393600038900331,
256
+ "children": {
257
+ "_process_rank_one_or_two_observation": {
258
+ "total": 0.0004153799995947338,
259
+ "count": 10,
260
+ "is_parallel": true,
261
+ "self": 0.0004153799995947338
262
+ }
263
+ }
264
+ }
265
+ }
266
+ }
267
+ }
268
+ },
269
+ "UnityEnvironment.step": {
270
+ "total": 84.88954188597268,
271
+ "count": 18191,
272
+ "is_parallel": true,
273
+ "self": 3.4794113509549334,
274
+ "children": {
275
+ "UnityEnvironment._generate_step_input": {
276
+ "total": 1.6858899910109812,
277
+ "count": 18191,
278
+ "is_parallel": true,
279
+ "self": 1.6858899910109812
280
+ },
281
+ "communicator.exchange": {
282
+ "total": 69.70420888501258,
283
+ "count": 18191,
284
+ "is_parallel": true,
285
+ "self": 69.70420888501258
286
+ },
287
+ "steps_from_proto": {
288
+ "total": 10.020031658994185,
289
+ "count": 18191,
290
+ "is_parallel": true,
291
+ "self": 2.0616233589491912,
292
+ "children": {
293
+ "_process_rank_one_or_two_observation": {
294
+ "total": 7.958408300044994,
295
+ "count": 181910,
296
+ "is_parallel": true,
297
+ "self": 7.958408300044994
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ }
305
+ }
306
+ }
307
+ }
308
+ },
309
+ "trainer_advance": {
310
+ "total": 46.15267999901107,
311
+ "count": 18192,
312
+ "self": 0.2510481010153853,
313
+ "children": {
314
+ "process_trajectory": {
315
+ "total": 10.650585176996174,
316
+ "count": 18192,
317
+ "self": 10.4785585909965,
318
+ "children": {
319
+ "RLTrainer._checkpoint": {
320
+ "total": 0.17202658599967435,
321
+ "count": 4,
322
+ "self": 0.17202658599967435
323
+ }
324
+ }
325
+ },
326
+ "_update_policy": {
327
+ "total": 35.25104672099951,
328
+ "count": 90,
329
+ "self": 15.91775787599795,
330
+ "children": {
331
+ "TorchPPOOptimizer.update": {
332
+ "total": 19.33328884500156,
333
+ "count": 4587,
334
+ "self": 19.33328884500156
335
+ }
336
+ }
337
+ }
338
+ }
339
+ }
340
+ }
341
+ },
342
+ "trainer_threads": {
343
+ "total": 4.619998890120769e-07,
344
+ "count": 1,
345
+ "self": 4.619998890120769e-07
346
+ },
347
+ "TrainerController._save_models": {
348
+ "total": 0.035323263999998744,
349
+ "count": 1,
350
+ "self": 0.0004693680000400491,
351
+ "children": {
352
+ "RLTrainer._checkpoint": {
353
+ "total": 0.034853895999958695,
354
+ "count": 1,
355
+ "self": 0.034853895999958695
356
+ }
357
+ }
358
+ }
359
+ }
360
+ }
361
+ }
362
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SnowballTarget": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 49936,
6
+ "file_path": "results/SnownballTarget1/SnowballTarget/SnowballTarget-49936.onnx",
7
+ "reward": 17.636363636363637,
8
+ "creation_time": 1735494483.6199055,
9
+ "auxillary_file_paths": [
10
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-49936.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 99960,
15
+ "file_path": "results/SnownballTarget1/SnowballTarget/SnowballTarget-99960.onnx",
16
+ "reward": 25.09090909090909,
17
+ "creation_time": 1735494530.0851471,
18
+ "auxillary_file_paths": [
19
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-99960.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 149984,
24
+ "file_path": "results/SnownballTarget1/SnowballTarget/SnowballTarget-149984.onnx",
25
+ "reward": 26.09090909090909,
26
+ "creation_time": 1735494572.7496347,
27
+ "auxillary_file_paths": [
28
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-149984.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 199984,
33
+ "file_path": "results/SnownballTarget1/SnowballTarget/SnowballTarget-199984.onnx",
34
+ "reward": 25.90909090909091,
35
+ "creation_time": 1735494616.344442,
36
+ "auxillary_file_paths": [
37
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-199984.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 200112,
42
+ "file_path": "results/SnownballTarget1/SnowballTarget/SnowballTarget-200112.onnx",
43
+ "reward": 25.90909090909091,
44
+ "creation_time": 1735494616.3865476,
45
+ "auxillary_file_paths": [
46
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-200112.pt"
47
+ ]
48
+ }
49
+ ],
50
+ "final_checkpoint": {
51
+ "steps": 200112,
52
+ "file_path": "results/SnownballTarget1/SnowballTarget.onnx",
53
+ "reward": 25.90909090909091,
54
+ "creation_time": 1735494616.3865476,
55
+ "auxillary_file_paths": [
56
+ "results/SnownballTarget1/SnowballTarget/SnowballTarget-200112.pt"
57
+ ]
58
+ }
59
+ },
60
+ "metadata": {
61
+ "stats_format_version": "0.3.0",
62
+ "mlagents_version": "1.1.0",
63
+ "torch_version": "2.4.0+cu121"
64
+ }
65
+ }