| #include <catch.hpp> |
| |
| #include <torch/nn/modules.h> |
| #include <torch/nn/modules/linear.h> |
| #include <torch/nn/modules/sequential.h> |
| #include <torch/tensor.h> |
| |
| #include <memory> |
| #include <vector> |
| |
| using namespace torch::nn; |
| |
| using Catch::StartsWith; |
| |
| TEST_CASE("sequential") { |
| SECTION("construction from shared pointer") { |
| struct M : torch::nn::Module { |
| explicit M(int value_) : value(value_) {} |
| int value; |
| int forward() { |
| return value; |
| } |
| }; |
| Sequential sequential( |
| std::make_shared<M>(1), std::make_shared<M>(2), std::make_shared<M>(3)); |
| REQUIRE(sequential.size() == 3); |
| } |
| SECTION("construction from concrete type") { |
| struct M : torch::nn::Module { |
| explicit M(int value_) : value(value_) {} |
| int value; |
| int forward() { |
| return value; |
| } |
| }; |
| |
| Sequential sequential(M(1), M(2), M(3)); |
| REQUIRE(sequential.size() == 3); |
| } |
| SECTION("construction from module holders") { |
| struct MImpl : torch::nn::Module { |
| explicit MImpl(int value_) : value(value_) {} |
| int forward() { |
| return value; |
| } |
| int value; |
| }; |
| |
| struct M : torch::nn::ModuleHolder<MImpl> { |
| using torch::nn::ModuleHolder<MImpl>::ModuleHolder; |
| using torch::nn::ModuleHolder<MImpl>::get; |
| }; |
| |
| Sequential sequential(M(1), M(2), M(3)); |
| REQUIRE(sequential.size() == 3); |
| } |
| SECTION("push_back") { |
| struct M : torch::nn::Module { |
| explicit M(int value_) : value(value_) {} |
| int forward() { |
| return value; |
| } |
| int value; |
| }; |
| Sequential sequential; |
| REQUIRE(sequential.size() == 0); |
| REQUIRE(sequential.is_empty()); |
| sequential.push_back(Linear(3, 4)); |
| REQUIRE(sequential.size() == 1); |
| sequential.push_back(std::make_shared<M>(1)); |
| REQUIRE(sequential.size() == 2); |
| sequential.push_back(M(2)); |
| REQUIRE(sequential.size() == 3); |
| } |
| SECTION("access") { |
| struct M : torch::nn::Module { |
| explicit M(int value_) : value(value_) {} |
| int forward() { |
| return value; |
| } |
| int value; |
| }; |
| std::vector<std::shared_ptr<M>> modules = { |
| std::make_shared<M>(1), std::make_shared<M>(2), std::make_shared<M>(3)}; |
| |
| Sequential sequential; |
| for (auto& module : modules) { |
| sequential.push_back(module); |
| } |
| REQUIRE(sequential.size() == 3); |
| |
| SECTION("at()") { |
| SECTION("returns the correct module for a given index") { |
| for (size_t i = 0; i < modules.size(); ++i) { |
| REQUIRE(&sequential.at<M>(i) == modules[i].get()); |
| } |
| } |
| SECTION("throws for a bad index") { |
| REQUIRE_THROWS_WITH( |
| sequential.at<M>(modules.size() + 1), |
| StartsWith("Index out of range")); |
| REQUIRE_THROWS_WITH( |
| sequential.at<M>(modules.size() + 1000000), |
| StartsWith("Index out of range")); |
| } |
| } |
| |
| SECTION("ptr()") { |
| SECTION("returns the correct module for a given index") { |
| for (size_t i = 0; i < modules.size(); ++i) { |
| REQUIRE(sequential.ptr(i).get() == modules[i].get()); |
| REQUIRE(sequential[i].get() == modules[i].get()); |
| REQUIRE(sequential.ptr<M>(i).get() == modules[i].get()); |
| } |
| } |
| SECTION("throws for a bad index") { |
| REQUIRE_THROWS_WITH( |
| sequential.ptr(modules.size() + 1), |
| StartsWith("Index out of range")); |
| REQUIRE_THROWS_WITH( |
| sequential.ptr(modules.size() + 1000000), |
| StartsWith("Index out of range")); |
| } |
| } |
| } |
| SECTION("forward") { |
| SECTION("calling forward() on an empty sequential is disallowed") { |
| Sequential empty; |
| REQUIRE_THROWS_WITH( |
| empty.forward<int>(), |
| StartsWith("Cannot call forward() on an empty Sequential")); |
| } |
| |
| SECTION("calling forward() on a non-empty sequential chains correctly") { |
| struct MockModule : torch::nn::Module { |
| explicit MockModule(int value) : expected(value) {} |
| int expected; |
| int forward(int value) { |
| REQUIRE(value == expected); |
| return value + 1; |
| } |
| }; |
| |
| Sequential sequential(MockModule{1}, MockModule{2}, MockModule{3}); |
| |
| REQUIRE(sequential.forward<int>(1) == 4); |
| } |
| |
| SECTION("calling forward() with the wrong return type throws") { |
| struct M : public torch::nn::Module { |
| int forward() { |
| return 5; |
| } |
| }; |
| |
| Sequential sequential(M{}); |
| REQUIRE(sequential.forward<int>() == 5); |
| REQUIRE_THROWS_WITH( |
| sequential.forward<float>(), |
| StartsWith("The type of the return value " |
| "is int, but you asked for type float")); |
| } |
| |
| SECTION("The return type of forward() defaults to Tensor") { |
| struct M : public torch::nn::Module { |
| torch::Tensor forward(torch::Tensor v) { |
| return v; |
| } |
| }; |
| |
| Sequential sequential(M{}); |
| auto variable = torch::ones({3, 3}, at::requires_grad()); |
| REQUIRE(sequential.forward(variable).equal(variable)); |
| } |
| } |
| |
| SECTION("returns the last value") { |
| Sequential sequential(Linear(10, 3), Linear(3, 5), Linear(5, 100)); |
| |
| auto x = torch::randn({1000, 10}, at::requires_grad()); |
| auto y = sequential.forward(x); |
| REQUIRE(y.ndimension() == 2); |
| REQUIRE(y.size(0) == 1000); |
| REQUIRE(y.size(1) == 100); |
| } |
| |
| SECTION("can hold other important modules") { |
| Sequential sequential( |
| Linear(10, 3), |
| Conv2d(1, 2, 3), |
| Dropout(0.5), |
| BatchNorm(5), |
| Embedding(4, 10), |
| LSTM(4, 5)); |
| } |
| } |