pytorch/test/cpp/api/imethod.cpp
Jiewen Tan 31beef009d Fix IMethodTest.GetArgumentNames after D29648756 (#61985)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/61985

Fix IMethodTest.GetArgumentNames after D29648756 (641f6ef8a7).
ghstack-source-id: 134054637

Test Plan: buck test mode/dev caffe2/test/cpp/api:imethod -- IMethodTest.GetArgumentNames

Reviewed By: suo

Differential Revision: D29828807

fbshipit-source-id: b1411745b91e1b8c0ea0fd9e9666e22125dde333
2021-07-22 00:21:59 -07:00

52 lines
1.8 KiB
C++

// (c) Facebook, Inc. and its affiliates. Confidential and proprietary.
#include <gtest/gtest.h>
#include <torch/csrc/deploy/deploy.h>
#include <torch/script.h>
#include <torch/torch.h>
using namespace ::testing;
using namespace caffe2;
// TODO(T96218435): Enable the following tests in OSS.
TEST(IMethodTest, CallMethod) {
auto script_model = torch::jit::load(getenv("SIMPLE_JIT"));
auto script_method = script_model.get_method("forward");
torch::deploy::InterpreterManager manager(3);
torch::deploy::Package p = manager.load_package(getenv("SIMPLE"));
auto py_model = p.load_pickle("model", "model.pkl");
torch::deploy::PythonMethodWrapper py_method(py_model, "forward");
auto input = torch::ones({10, 20});
auto output_py = py_method({input});
auto output_script = script_method({input});
EXPECT_TRUE(output_py.isTensor());
EXPECT_TRUE(output_script.isTensor());
auto output_py_tensor = output_py.toTensor();
auto output_script_tensor = output_script.toTensor();
EXPECT_TRUE(output_py_tensor.equal(output_script_tensor));
EXPECT_EQ(output_py_tensor.numel(), 200);
}
TEST(IMethodTest, GetArgumentNames) {
auto scriptModel = torch::jit::load(getenv("SIMPLE_JIT"));
auto scriptMethod = scriptModel.get_method("forward");
auto& scriptNames = scriptMethod.getArgumentNames();
EXPECT_EQ(scriptNames.size(), 2);
EXPECT_STREQ(scriptNames[0].c_str(), "self");
EXPECT_STREQ(scriptNames[1].c_str(), "input");
torch::deploy::InterpreterManager manager(3);
torch::deploy::Package package = manager.load_package(getenv("SIMPLE"));
auto pyModel = package.load_pickle("model", "model.pkl");
torch::deploy::PythonMethodWrapper pyMethod(pyModel, "forward");
auto& pyNames = pyMethod.getArgumentNames();
EXPECT_EQ(pyNames.size(), 2);
EXPECT_STREQ(pyNames[0].c_str(), "input");
EXPECT_STREQ(pyNames[1].c_str(), "kwargs");
}