/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/reverse_packed_segs_op.h (2772B)
#ifndef CAFFE2_OPERATORS_REVERSE_PACKED_SEGS_OP_H_
#define CAFFE2_OPERATORS_REVERSE_PACKED_SEGS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template
class ReversePackedSegsOp final : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(ReversePackedSegsOp);
USE_DISPATCH_HELPER;
bool RunOnDevice() override {
return DispatchHelper>::call(
this, Input(DATA));
}
template
bool DoRunWithType() {
if (Input(LENGTHS).template IsType()) {
DoRunWithLengthType();
} else {
DoRunWithLengthType();
}
return true;
}
private:
INPUT_TAGS(DATA, LENGTHS);
template
void DoRunWithLengthType() {
const auto& data = Input(DATA);
const auto& lengths = Input(LENGTHS);
CAFFE_ENFORCE(
data.dim() == 3,
"DATA should be 3-D tensor ");
CAFFE_ENFORCE(lengths.dim() == 1, "LENGTH should be 1-D");
const auto shape = data.sizes();
auto* output = Output(0, shape, at::dtype());
const auto max_length = data.sizes()[0];
const auto batch_size = data.sizes()[1];
const auto block_size = data.sizes()[2];
CAFFE_ENFORCE(
lengths.sizes()[0] == batch_size,
"lenths size should be"
" equal to batch size");
const T* data_ptr = data.template data();
const LengthType* lengths_ptr = lengths.template data();
vector lengths_host(batch_size);
context_.template CopyToCPU(
batch_size, lengths_ptr, &lengths_host[0]);
context_.FinishDeviceComputation();
T* rev_data_ptr = output->template mutable_data();
for (int64_t i = 0; i < batch_size; i++) {
const auto& seg_length = lengths_host[i];
CAFFE_ENFORCE_LE(seg_length, max_length);
int64_t j = 0;
for (; j < seg_length; j++) {
const T* data_block_ptr = data_ptr + (j * batch_size + i) * block_size;
T* rev_data_block_ptr =
rev_data_ptr + ((seg_length - 1 - j) * batch_size + i) * block_size;
context_.template CopySameDevice(
block_size, data_block_ptr, rev_data_block_ptr);
}
for (; j < max_length; j++) {
const T* data_block_ptr = data_ptr + (j * batch_size + i) * block_size;
T* rev_data_block_ptr =
rev_data_ptr + (j * batch_size + i) * block_size;
context_.template CopySameDevice(
block_size, data_block_ptr, rev_data_block_ptr);
}
}
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_REVERSE_PACKED_SEGS_OP_H_