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
|
// See docs in ../ops/array_ops.cc.
#define EIGEN_USE_THREADS
#include "tensorflow/core/kernels/where_op.h"
#include <memory>
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/register_types.h"
#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/public/tensor_shape.h"
#include "tensorflow/core/public/tensor.h"
#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
namespace tensorflow {
typedef Eigen::ThreadPoolDevice CPUDevice;
typedef Eigen::GpuDevice GPUDevice;
template <typename Device>
class WhereOp : public OpKernel {
public:
explicit WhereOp(OpKernelConstruction* context) : OpKernel(context) {}
void Compute(OpKernelContext* context) override {
const Tensor& input = context->input(0);
const int input_dims = input.dims();
Tensor num_true;
OP_REQUIRES_OK(
context, context->allocate_temp(DT_INT64, TensorShape({}), &num_true));
auto num_true_t = num_true.scalar<int64>();
functor::NumTrue<Device>::Compute(context->eigen_device<Device>(),
input.flat<bool>(), num_true_t);
TensorShape output_shape({num_true_t(), input_dims});
Tensor* output = nullptr;
OP_REQUIRES_OK(context, context->allocate_output(0, output_shape, &output));
#define HANDLE_DIM(NDIM) \
case NDIM: \
functor::Where<Device, NDIM>::Compute(context->eigen_device<Device>(), \
input.tensor<bool, NDIM>(), \
output->matrix<int64>()); \
break;
switch (input_dims) {
HANDLE_DIM(1);
HANDLE_DIM(2);
HANDLE_DIM(3);
HANDLE_DIM(4);
HANDLE_DIM(5);
default:
OP_REQUIRES(context, false,
errors::InvalidArgument(
"WhereOp : Unhandled input dimensions: ", input_dims));
}
#undef HANDLE_DIM
}
private:
TF_DISALLOW_COPY_AND_ASSIGN(WhereOp);
};
#define REGISTER_WHERE() \
REGISTER_KERNEL_BUILDER(Name("Where").Device(DEVICE_CPU), WhereOp<CPUDevice>);
REGISTER_WHERE();
} // namespace tensorflow
|
