提交 2b35fca1 编写于 作者: Z Zhuoyuan

gather modify

上级 08021979
......@@ -21,20 +21,17 @@ limitations under the License. */
/**
* Return a new tensor from source tensor, gathered according to index
* input[src]: type-T source Tensor
* input[Index]: type-int index Tensor (1-D)
* input[index]: type-int index Tensor (1-D)
* return: output tensor
*/
template <typename place, typename T>
Tensor* Gather_func(Tensor* Src, Tensor* Index) {
// assert index is an int-type tensor?
// assert(Index->istype(int));
template <typename Place, typename T>
Tensor* Gather(Tensor* src, Tensor* index) {
// check index of shape 1-D
assert(Index->dims().size()==1);
int index_size = Index->dims()[0];
PADDLE_ENFORCE(index->dims().size()==1);
int index_size = index->dims()[0];
// Source shape
auto src_dims = Src->dims();
auto src_dims = src->dims();
DDim output_dims(dims_src);
// Create a tensor of shape [index_size, dim_src[1:]]
output_dims[0] = index_size;
......@@ -51,12 +48,12 @@ Tensor* Gather_func(Tensor* Src, Tensor* Index) {
if (place == CPUPlace()) {
// init for CPU
output = New_tensor.mutable_data<T>(output_dims, CPUPlace());
CPUGather(Src->data(), Index->data(), slice_size, new_tensor->mutable_data());
CPUGather(src->data(), index->data(), slice_size, new_tensor->mutable_data());
} else { // GPU
// init for GPU
output = New_tensor.mutable_data<T>(output_dims, GPUPlace());
/* how to specialize device??*/
GPUGather(d, Src->data(), Index->data(), slice_size, new_tensor->mutable_data());
GPUGather(d, src->data(), index->data(), slice_size, new_tensor->mutable_data());
}
return New_tensor;
}
......@@ -82,7 +79,7 @@ void CPUGather(const T* params, const int* indices,
*/
template<typename T>
void GPUGather(const GPUDevice& d,
const T* src, const int* Index,
const T* src, const int* index,
const int slice_size, const int index_size,
T* output) {
int block_count = slice_size * index_size;
......@@ -90,7 +87,7 @@ void GPUGather(const GPUDevice& d,
GatherOpKernel<T>
<<<block_count, thread_per_block, 0, d.stream()>>>(
src, Index, output, slice_size,
src, index, output, slice_size,
indices_size, slice_size, out_size);
}
......
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