1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
|
#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"
#include "c10/util/irange.h"
namespace caffe2 {
template <class Context>
class ReversePackedSegsOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(ReversePackedSegsOp);
USE_DISPATCH_HELPER;
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<float, double, int, long, bool>>::call(
this, Input(DATA));
}
template <typename T>
bool DoRunWithType() {
if (Input(LENGTHS).template IsType<int>()) {
DoRunWithLengthType<T, int>();
} else {
DoRunWithLengthType<T, long>();
}
return true;
}
private:
INPUT_TAGS(DATA, LENGTHS);
template <typename T, typename LengthType>
void DoRunWithLengthType() {
const auto& data = Input(DATA);
const auto& lengths = Input(LENGTHS);
CAFFE_ENFORCE(
data.dim() == 3,
"DATA should be 3-D tensor <lengths, "
"segments, embeddings>");
CAFFE_ENFORCE(lengths.dim() == 1, "LENGTH should be 1-D");
const auto shape = data.sizes();
auto* output = Output(0, shape, at::dtype<T>());
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<T>();
const LengthType* lengths_ptr = lengths.template data<LengthType>();
vector<LengthType> lengths_host(batch_size);
context_.template CopyToCPU<LengthType>(
batch_size, lengths_ptr, &lengths_host[0]);
context_.FinishDeviceComputation();
T* rev_data_ptr = output->template mutable_data<T>();
for (const auto i : c10::irange(batch_size)) {
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<T>(
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<T>(
block_size, data_block_ptr, rev_data_block_ptr);
}
}
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_REVERSE_PACKED_SEGS_OP_H_
|
