pytorch/test/cpp/api/jit.cpp

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#include <gtest/gtest.h>
#include <torch/jit.h>
#include <torch/types.h>
#include <string>
TEST(TorchScriptTest, CanCompileMultipleFunctions) {
auto module = torch::jit::compile(R"JIT(
def test_mul(a, b):
return a * b
def test_relu(a, b):
return torch.relu(a + b)
def test_while(a, i):
while bool(i < 10):
a += a
i += 1
return a
)JIT");
auto a = torch::ones(1);
auto b = torch::ones(1);
Remove caffe2::Tensor::capacity_nbytes, at::Tensor::to##name##Data, (#11876) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11876 Modern C++ api instead of macros, item() is aligned with Python frontend. caffe2::Tensor::capacity_nbytes is effecitvely unused and confusing w.r.t. caffe2::Tensor::nbytes(). codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCComplexDouble "item<std::complex<double>>" codemod -d tc --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" Reviewed By: ezyang Differential Revision: D9948572 fbshipit-source-id: 70c9f5390d92b82c85fdd5f8a5aebca338ab413c
2018-09-24 17:39:10 +00:00
ASSERT_EQ(1, module->run_method("test_mul", a, b).toTensor().item<int64_t>());
Remove caffe2::Tensor::capacity_nbytes, at::Tensor::to##name##Data, (#11876) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11876 Modern C++ api instead of macros, item() is aligned with Python frontend. caffe2::Tensor::capacity_nbytes is effecitvely unused and confusing w.r.t. caffe2::Tensor::nbytes(). codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCComplexDouble "item<std::complex<double>>" codemod -d tc --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" Reviewed By: ezyang Differential Revision: D9948572 fbshipit-source-id: 70c9f5390d92b82c85fdd5f8a5aebca338ab413c
2018-09-24 17:39:10 +00:00
ASSERT_EQ(2, module->run_method("test_relu", a, b).toTensor().item<int64_t>());
ASSERT_TRUE(
Remove caffe2::Tensor::capacity_nbytes, at::Tensor::to##name##Data, (#11876) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11876 Modern C++ api instead of macros, item() is aligned with Python frontend. caffe2::Tensor::capacity_nbytes is effecitvely unused and confusing w.r.t. caffe2::Tensor::nbytes(). codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte "item<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong "item<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt "item<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData "data<uint8_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData "data<int64_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData "data<int32_t>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>" codemod -d hphp --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData "data<float>" codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCComplexDouble "item<std::complex<double>>" codemod -d tc --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat "item<float>" Reviewed By: ezyang Differential Revision: D9948572 fbshipit-source-id: 70c9f5390d92b82c85fdd5f8a5aebca338ab413c
2018-09-24 17:39:10 +00:00
0x200 == module->run_method("test_while", a, b).toTensor().item<int64_t>());
}