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3d46e02ea1
Summary: According to pytorch/rfcs#3 From the goals in the RFC: 1. Support subclassing `torch.Tensor` in Python (done here) 2. Preserve `torch.Tensor` subclasses when calling `torch` functions on them (done here) 3. Use the PyTorch API with `torch.Tensor`-like objects that are _not_ `torch.Tensor` subclasses (done in https://github.com/pytorch/pytorch/issues/30730) 4. Preserve `torch.Tensor` subclasses when calling `torch.Tensor` methods. (done here) 5. Propagating subclass instances correctly also with operators, using views/slices/indexing/etc. (done here) 6. Preserve subclass attributes when using methods or views/slices/indexing. (done here) 7. A way to insert code that operates on both functions and methods uniformly (so we can write a single function that overrides all operators). (done here) 8. The ability to give external libraries a way to also define functions/methods that follow the `__torch_function__` protocol. (will be addressed in a separate PR) This PR makes the following changes: 1. Adds the `self` argument to the arg parser. 2. Dispatches on `self` as well if `self` is not `nullptr`. 3. Adds a `torch._C.DisableTorchFunction` context manager to disable `__torch_function__`. 4. Adds a `torch::torch_function_enabled()` and `torch._C._torch_function_enabled()` to check the state of `__torch_function__`. 5. Dispatches all `torch._C.TensorBase` and `torch.Tensor` methods via `__torch_function__`. TODO: - [x] Sequence Methods - [x] Docs - [x] Tests Closes https://github.com/pytorch/pytorch/issues/28361 Benchmarks in https://github.com/pytorch/pytorch/pull/37091#issuecomment-633657778 Pull Request resolved: https://github.com/pytorch/pytorch/pull/37091 Reviewed By: ngimel Differential Revision: D22765678 Pulled By: ezyang fbshipit-source-id: 53f8aa17ddb8b1108c0997f6a7aa13cb5be73de0 |
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| .. | ||
| _static | ||
| _templates | ||
| _templates-stable | ||
| community | ||
| notes | ||
| rpc | ||
| scripts | ||
| __config__.rst | ||
| amp.rst | ||
| autograd.rst | ||
| bottleneck.rst | ||
| checkpoint.rst | ||
| complex_numbers.rst | ||
| conf.py | ||
| cpp_extension.rst | ||
| cpp_index.rst | ||
| cuda.rst | ||
| cudnn_persistent_rnn.rst | ||
| cudnn_rnn_determinism.rst | ||
| data.rst | ||
| distributed.rst | ||
| distributions.rst | ||
| dlpack.rst | ||
| docutils.conf | ||
| futures.rst | ||
| hub.rst | ||
| index.rst | ||
| jit.rst | ||
| jit_builtin_functions.rst | ||
| jit_language_reference.rst | ||
| jit_python_reference.rst | ||
| jit_unsupported.rst | ||
| math-quantizer-equation.png | ||
| mobile_optimizer.rst | ||
| model_zoo.rst | ||
| multiprocessing.rst | ||
| name_inference.rst | ||
| named_tensor.rst | ||
| nn.functional.rst | ||
| nn.init.rst | ||
| nn.rst | ||
| onnx.rst | ||
| optim.rst | ||
| quantization-support.rst | ||
| quantization.rst | ||
| random.rst | ||
| rpc.rst | ||
| sparse.rst | ||
| storage.rst | ||
| tensor_attributes.rst | ||
| tensor_view.rst | ||
| tensorboard.rst | ||
| tensors.rst | ||
| torch.nn.intrinsic.qat.rst | ||
| torch.nn.intrinsic.quantized.rst | ||
| torch.nn.intrinsic.rst | ||
| torch.nn.qat.rst | ||
| torch.nn.quantized.dynamic.rst | ||
| torch.nn.quantized.rst | ||
| torch.quantization.rst | ||
| torch.rst | ||
| type_info.rst | ||
