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com.unity.ml-agents_1.0.0
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latest_release
python-packages_0.16.0
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v0.1
GitHub
0ddfbfee
V2 staging new model version (#5080)
* Make modelCheck have flavors of error messages * ONNX exporter v3 * Using a better CheckType and a switch statement * Removing unused message * More tests * Use an enum for valid versions and use GetVersion on model directly * Maybe the model export version a static constant in Python * Use static constructor for FailedCheck * Use static constructor for FailedCheck * Modifying the docstrings * renaming LegacyDiscreteActionOutputApplier * removing testing code * better warning message * Nest the CheckTypeEnum into the FailedCheck class * Update com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs * Adding a line explaining that legacy tensor checks are for versions 1.X only * Modifying the changelog * Exporting all the branches size instead of omly the sum (#5092) * addressing comments * Update com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs Co-authored... |
4 年前 | |
|---|---|---|
| .. | ||
| components | Move the Critic into the Optimizer (#4939) | 4 年前 |
| __init__.py | [pytorch] Add decoders, distributions, encoders, layers, networks, and utils (#4349) | 4 年前 |
| action_flattener.py | Action Model (#4580) | 4 年前 |
| action_log_probs.py | Buffer key enums (#4907) | 4 年前 |
| action_model.py | Develop hybrid action staging (#4702) | 4 年前 |
| agent_action.py | Buffer key enums (#4907) | 4 年前 |
| attention.py | Silencing a Torch warning that raises when exporting the attention module to ONNX | 4 年前 |
| decoders.py | Add torch_utils class, auto-detect CUDA availability (#4403) | 4 年前 |
| distributions.py | V2 staging new model version (#5080) | 4 年前 |
| encoders.py | Run pytest on GPU (#4865) | 4 年前 |
| layers.py | add LayerNorm (#4847) | 4 年前 |
| model_serialization.py | V2 staging new model version (#5080) | 4 年前 |
| networks.py | V2 staging new model version (#5080) | 4 年前 |
| utils.py | Attempting to use EntityEmbedding directly as processor | 4 年前 |