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fix errors

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intel-update-authors
fengjiayi 7 years ago
parent 330fa95cbd
commit 30f9dc92e5
2 changed files with 13 additions and 13 deletions
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24
paddle/fluid/operators/math/concat_test.cc
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@ -72,8 +72,8 @@ void testConcat() {
}
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(input_a_cpu, Place(), *context, &input_a, true);
TensorCopy(input_b_cpu, Place(), *context, &input_b, true);
TensorCopySync(input_a_cpu, Place(), &input_a);
TensorCopySync(input_b_cpu, Place(), &input_b);
}
std::vector<Tensor> input;
@ -89,7 +89,7 @@ void testConcat() {
int* out_ptr;
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(out, CPUPlace(), *context, &out_cpu, true);
TensorCopySync(out, CPUPlace(), &out_cpu);
out_ptr = out_cpu.data<int>();
} else {
out_ptr = out.data<int>();
@ -144,8 +144,8 @@ void testConcat() {
}
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(input_a_cpu, Place(), *context, &input_a, true);
TensorCopy(input_b_cpu, Place(), *context, &input_b, true);
TensorCopySync(input_a_cpu, Place(), &input_a);
TensorCopySync(input_b_cpu, Place(), &input_b);
}
input.clear();
@ -159,7 +159,7 @@ void testConcat() {
PADDLE_ENFORCE_EQ(input_b.dims(), dim_b);
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(out, CPUPlace(), *context, &out_cpu, true);
TensorCopySync(out, CPUPlace(), &out_cpu);
out_ptr = out_cpu.data<int>();
} else {
out_ptr = out.data<int>();
@ -216,8 +216,8 @@ void testConcat() {
}
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(input_a_cpu, Place(), *context, &input_a, true);
TensorCopy(input_b_cpu, Place(), *context, &input_b, true);
TensorCopySync(input_a_cpu, Place(), &input_a);
TensorCopySync(input_b_cpu, Place(), &input_b);
}
input.clear();
@ -231,7 +231,7 @@ void testConcat() {
PADDLE_ENFORCE_EQ(input_b.dims(), dim_b);
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(out, CPUPlace(), *context, &out_cpu, true);
TensorCopySync(out, CPUPlace(), &out_cpu);
out_ptr = out_cpu.data<int>();
} else {
out_ptr = out.data<int>();
@ -290,8 +290,8 @@ void testConcat() {
}
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(input_a_cpu, Place(), *context, &input_a, true);
TensorCopy(input_b_cpu, Place(), *context, &input_b, true);
TensorCopySync(input_a_cpu, Place(), &input_a);
TensorCopySync(input_b_cpu, Place(), &input_b);
}
input.clear();
@ -305,7 +305,7 @@ void testConcat() {
PADDLE_ENFORCE_EQ(input_b.dims(), dim_b);
if (paddle::platform::is_gpu_place(Place())) {
TensorCopy(out, CPUPlace(), *context, &out_cpu, true);
TensorCopySync(out, CPUPlace(), &out_cpu);
out_ptr = out_cpu.data<int>();
} else {
out_ptr = out.data<int>();

2
paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
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@ -177,9 +177,9 @@ void DoubleBufferReader::PrefetchThreadFunc() {
}
if (platform::is_gpu_place(place_)) {
auto& gpu_batch = gpu_tensor_cache_[cached_tensor_id];
auto* gpu_ctx = ctxs_[cached_tensor_id].get();
gpu_batch.resize(cpu_batch.size());
for (size_t i = 0; i < cpu_batch.size(); ++i) {
// TODO(fengjiayi): Use asynchronous TensorCopy instead
framework::TensorCopySync(cpu_batch[i], place_, &gpu_batch[i]);
gpu_batch[i].set_lod(cpu_batch[i].lod());
}

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