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Summary: In Python, you can use the call operator to invoke the `forward()` method of a module. In C++ this was currently not possible, because I couldn't figure out how to deduce the return type of a module's `forward()` method under the constraint that `forward()` may not exist at all (since the base module class in C++ does not mandate a `forward()` method). I now figured it out, so the call operator can be used. ezyang ebetica Pull Request resolved: https://github.com/pytorch/pytorch/pull/15831 Differential Revision: D13652676 Pulled By: goldsborough fbshipit-source-id: ccab45a15215dda56460e560f0038781b539135f
105 lines
2.8 KiB
C++
105 lines
2.8 KiB
C++
#include <gtest/gtest.h>
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#include <torch/detail/static.h>
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#include <torch/nn/module.h>
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#include <torch/nn/modules/any.h>
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#include <torch/nn/modules/linear.h>
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#include <torch/csrc/utils/variadic.h>
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#include <string>
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#include <vector>
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template <
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typename T,
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typename = torch::enable_if_t<!torch::detail::is_module<T>::value>>
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bool f(T&& m) {
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return false;
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}
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template <typename T>
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torch::detail::enable_if_module_t<T, bool> f(T&& m) {
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return true;
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}
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TEST(TestStatic, AllOf) {
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ASSERT_TRUE(torch::all_of<>::value);
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ASSERT_TRUE(torch::all_of<true>::value);
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ASSERT_TRUE((torch::all_of<true, true, true>::value));
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ASSERT_FALSE(torch::all_of<false>::value);
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ASSERT_FALSE((torch::all_of<false, false, false>::value));
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ASSERT_FALSE((torch::all_of<true, true, false>::value));
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}
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TEST(TestStatic, AnyOf) {
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ASSERT_FALSE(torch::any_of<>::value);
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ASSERT_TRUE(bool((torch::any_of<true>::value)));
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ASSERT_TRUE(bool((torch::any_of<true, true, true>::value)));
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ASSERT_FALSE(bool((torch::any_of<false>::value)));
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}
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TEST(TestStatic, EnableIfModule) {
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ASSERT_TRUE(f(torch::nn::LinearImpl(1, 2)));
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ASSERT_FALSE(f(5));
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ASSERT_TRUE(torch::detail::check_not_lvalue_references<int>());
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ASSERT_TRUE((torch::detail::check_not_lvalue_references<float, int, char>()));
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ASSERT_FALSE(
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(torch::detail::check_not_lvalue_references<float, int&, char>()));
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ASSERT_TRUE(torch::detail::check_not_lvalue_references<std::string>());
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ASSERT_FALSE(torch::detail::check_not_lvalue_references<std::string&>());
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}
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struct A : torch::nn::Module {
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int forward() {
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return 5;
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}
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};
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struct B : torch::nn::Module {
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std::string forward(torch::Tensor tensor) {
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return "";
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}
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};
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struct C : torch::nn::Module {
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float forward(torch::Tensor& tensor) {
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return 5.0;
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}
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};
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struct D : torch::nn::Module {
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char forward(torch::Tensor&& tensor) {
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return 'x';
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}
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};
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struct E : torch::nn::Module {};
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// Put in a function because macros don't handle the comma between arguments to
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// is_same well ...
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template <typename Module, typename ExpectedType, typename... Args>
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void assert_has_expected_type() {
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using ReturnType =
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typename torch::detail::return_type_of_forward<Module, Args...>::type;
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constexpr bool is_expected_type =
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std::is_same<ReturnType, ExpectedType>::value;
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ASSERT_TRUE(is_expected_type) << Module().name();
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}
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TEST(TestStatic, ReturnTypeOfForward) {
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assert_has_expected_type<A, int>();
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assert_has_expected_type<B, std::string, torch::Tensor>();
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assert_has_expected_type<C, float, torch::Tensor&>();
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assert_has_expected_type<D, char, torch::Tensor&&>();
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assert_has_expected_type<E, void>();
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}
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TEST(TestStatic, Apply) {
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std::vector<int> v;
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torch::apply([&v](int x) { v.push_back(x); }, 1, 2, 3, 4, 5);
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ASSERT_EQ(v.size(), 5);
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for (size_t i = 0; i < v.size(); ++i) {
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ASSERT_EQ(v.at(i), i + 1);
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}
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}
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