mirror of
https://github.com/saymrwulf/pytorch.git
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9024faaafe
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17596 Was reverted before, now fixed version. Reviewed By: ezyang Differential Revision: D14270288 fbshipit-source-id: c72490b5d02cc6098cb60145fa9a842b3c9a24c5
82 lines
2.5 KiB
C++
82 lines
2.5 KiB
C++
#include <iostream>
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#include "caffe2/core/operator.h"
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#include "caffe2/operators/operator_fallback_gpu.h"
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#include <gtest/gtest.h>
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namespace caffe2 {
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class IncrementByOneOp final : public Operator<CPUContext> {
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public:
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template <class... Args>
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explicit IncrementByOneOp(Args&&... args)
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: Operator<CPUContext>(std::forward<Args>(args)...) {}
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bool RunOnDevice() override {
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const auto& in = Input(0);
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auto* out = Output(0, in.sizes(), at::dtype<float>());
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const float* in_data = in.template data<float>();
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float* out_data = out->template mutable_data<float>();
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for (int i = 0; i < in.numel(); ++i) {
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out_data[i] = in_data[i] + 1.f;
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}
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return true;
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}
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};
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OPERATOR_SCHEMA(IncrementByOne)
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.NumInputs(1).NumOutputs(1).AllowInplace({{0, 0}});
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REGISTER_CPU_OPERATOR(IncrementByOne, IncrementByOneOp);
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REGISTER_CUDA_OPERATOR(IncrementByOne, GPUFallbackOp);
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TEST(OperatorFallbackTest, IncrementByOneOp) {
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OperatorDef op_def = CreateOperatorDef(
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"IncrementByOne", "", vector<string>{"X"},
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vector<string>{"X"});
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Workspace ws;
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Tensor source_tensor(vector<int64_t>{2, 3}, CPU);
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for (int i = 0; i < 6; ++i) {
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source_tensor.mutable_data<float>()[i] = i;
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}
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BlobGetMutableTensor(ws.CreateBlob("X"), CPU)->CopyFrom(source_tensor);
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unique_ptr<OperatorBase> op(CreateOperator(op_def, &ws));
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EXPECT_TRUE(op.get() != nullptr);
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EXPECT_TRUE(op->Run());
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const TensorCPU& output = ws.GetBlob("X")->Get<TensorCPU>();
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EXPECT_EQ(output.dim(), 2);
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EXPECT_EQ(output.size(0), 2);
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EXPECT_EQ(output.size(1), 3);
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for (int i = 0; i < 6; ++i) {
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EXPECT_EQ(output.data<float>()[i], i + 1);
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}
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}
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TEST(OperatorFallbackTest, GPUIncrementByOneOp) {
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if (!HasCudaGPU()) return;
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OperatorDef op_def = CreateOperatorDef(
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"IncrementByOne", "", vector<string>{"X"},
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vector<string>{"X"});
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op_def.mutable_device_option()->set_device_type(PROTO_CUDA);
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Workspace ws;
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Tensor source_tensor(vector<int64_t>{2, 3}, CPU);
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for (int i = 0; i < 6; ++i) {
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source_tensor.mutable_data<float>()[i] = i;
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}
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BlobGetMutableTensor(ws.CreateBlob("X"), CUDA)->CopyFrom(source_tensor);
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unique_ptr<OperatorBase> op(CreateOperator(op_def, &ws));
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EXPECT_TRUE(op.get() != nullptr);
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EXPECT_TRUE(op->Run());
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const TensorCUDA& output = ws.GetBlob("X")->Get<TensorCUDA>();
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Tensor output_cpu(output, CPU);
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EXPECT_EQ(output.dim(), 2);
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EXPECT_EQ(output.size(0), 2);
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EXPECT_EQ(output.size(1), 3);
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for (int i = 0; i < 6; ++i) {
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EXPECT_EQ(output_cpu.data<float>()[i], i + 1);
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}
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}
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} // namespace caffe2
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