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Summary: Currently the C++ API and C++ extensions are effectively two different, entirely orthogonal code paths. This PR unifies the C++ API with the C++ extension API by adding an element of Python binding support to the C++ API. This means the `torch/torch.h` included by C++ extensions, which currently routes to `torch/csrc/torch.h`, can now be rerouted to `torch/csrc/api/include/torch/torch.h` -- i.e. the main C++ API header. This header then includes Python binding support conditioned on a define (`TORCH_WITH_PYTHON_BINDINGS`), *which is only passed when building a C++ extension*. Currently stacked on top of https://github.com/pytorch/pytorch/pull/11498 Why is this useful? 1. One less codepath. In particular, there has been trouble again and again due to the two `torch/torch.h` header files and ambiguity when both ended up in the include path. This is now fixed. 2. I have found that it is quite common to want to bind a C++ API module back into Python. This could be for simple experimentation, or to have your training loop in Python but your models in C++. This PR makes this easier by adding pybind11 support to the C++ API. 3. The C++ extension API simply becomes richer by gaining access to the C++ API headers. soumith ezyang apaszke Pull Request resolved: https://github.com/pytorch/pytorch/pull/11510 Reviewed By: ezyang Differential Revision: D9998835 Pulled By: goldsborough fbshipit-source-id: 7a94b44a9d7e0377b7f1cfc99ba2060874d51535
38 lines
933 B
C++
38 lines
933 B
C++
#include <torch/extension.h>
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#include <torch/python.h>
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#include <torch/torch.h>
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struct Net : torch::nn::Module {
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Net(int64_t in, int64_t out)
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: fc(in, out),
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bn(torch::nn::BatchNormOptions(out).stateful(true)),
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dropout(0.5) {
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register_module("fc", fc);
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register_module("bn", bn);
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register_module("dropout", dropout);
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}
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torch::Tensor forward(torch::Tensor x) {
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return dropout->forward(bn->forward(torch::relu(fc->forward(x))));
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}
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void set_bias(torch::Tensor bias) {
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fc->bias = bias;
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}
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torch::Tensor get_bias() const {
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return fc->bias;
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}
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torch::nn::Linear fc;
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torch::nn::BatchNorm bn;
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torch::nn::Dropout dropout;
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};
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
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torch::python::bind_module<Net>(m, "Net")
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.def(py::init<int64_t, int64_t>())
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.def("forward", &Net::forward)
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.def("set_bias", &Net::set_bias)
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.def("get_bias", &Net::get_bias);
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}
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