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operator_fallback_gpu_test.cc
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operator_fallback_gpu_test.cc
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#include <iostream>
#include "caffe2/core/operator.h"
#include "caffe2/operators/operator_fallback_gpu.h"
#include <gtest/gtest.h>
namespace caffe2 {
class IncrementByOneOp final : public Operator<CPUContext> {
public:
template <class... Args>
explicit IncrementByOneOp(Args&&... args)
: Operator<CPUContext>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
const auto& in = Input(0);
auto* out = Output(0, in.sizes(), at::dtype<float>());
const float* in_data = in.template data<float>();
float* out_data = out->template mutable_data<float>();
for (int i = 0; i < in.numel(); ++i) {
out_data[i] = in_data[i] + 1.f;
}
return true;
}
};
OPERATOR_SCHEMA(IncrementByOne)
.NumInputs(1).NumOutputs(1).AllowInplace({{0, 0}});
REGISTER_CPU_OPERATOR(IncrementByOne, IncrementByOneOp);
REGISTER_CUDA_OPERATOR(IncrementByOne, GPUFallbackOp);
TEST(OperatorFallbackTest, IncrementByOneOp) {
OperatorDef op_def = CreateOperatorDef(
"IncrementByOne", "", vector<string>{"X"},
vector<string>{"X"});
Workspace ws;
Tensor source_tensor(vector<int64_t>{2, 3}, CPU);
for (int i = 0; i < 6; ++i) {
source_tensor.mutable_data<float>()[i] = i;
}
BlobGetMutableTensor(ws.CreateBlob("X"), CPU)->CopyFrom(source_tensor);
unique_ptr<OperatorBase> op(CreateOperator(op_def, &ws));
EXPECT_TRUE(op.get() != nullptr);
EXPECT_TRUE(op->Run());
const TensorCPU& output = ws.GetBlob("X")->Get<TensorCPU>();
EXPECT_EQ(output.dim(), 2);
EXPECT_EQ(output.size(0), 2);
EXPECT_EQ(output.size(1), 3);
for (int i = 0; i < 6; ++i) {
EXPECT_EQ(output.data<float>()[i], i + 1);
}
}
TEST(OperatorFallbackTest, GPUIncrementByOneOp) {
if (!HasCudaGPU()) return;
OperatorDef op_def = CreateOperatorDef(
"IncrementByOne", "", vector<string>{"X"},
vector<string>{"X"});
op_def.mutable_device_option()->set_device_type(PROTO_CUDA);
Workspace ws;
Tensor source_tensor(vector<int64_t>{2, 3}, CPU);
for (int i = 0; i < 6; ++i) {
source_tensor.mutable_data<float>()[i] = i;
}
BlobGetMutableTensor(ws.CreateBlob("X"), CUDA)->CopyFrom(source_tensor);
unique_ptr<OperatorBase> op(CreateOperator(op_def, &ws));
EXPECT_TRUE(op.get() != nullptr);
EXPECT_TRUE(op->Run());
const TensorCUDA& output = ws.GetBlob("X")->Get<TensorCUDA>();
Tensor output_cpu(output, CPU);
EXPECT_EQ(output.dim(), 2);
EXPECT_EQ(output.size(0), 2);
EXPECT_EQ(output.size(1), 3);
for (int i = 0; i < 6; ++i) {
EXPECT_EQ(output_cpu.data<float>()[i], i + 1);
}
}
} // namespace caffe2