1 | /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #ifndef TENSORFLOW_CORE_KERNELS_TRANSPOSE_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_TRANSPOSE_OP_H_ |
18 | |
19 | #include "tensorflow/core/framework/op_kernel.h" |
20 | #include "tensorflow/core/framework/tensor.h" |
21 | |
22 | namespace tensorflow { |
23 | |
24 | class TransposeOp : public OpKernel { |
25 | public: |
26 | explicit TransposeOp(OpKernelConstruction* ctx) : OpKernel(ctx) {} |
27 | |
28 | void Compute(OpKernelContext* ctx) override; |
29 | |
30 | protected: |
31 | virtual Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
32 | gtl::ArraySlice<int32> perm, Tensor* out) = 0; |
33 | virtual bool IsConjugate() const { return false; } |
34 | }; |
35 | |
36 | class TransposeCpuOp : public TransposeOp { |
37 | public: |
38 | explicit TransposeCpuOp(OpKernelConstruction* ctx) : TransposeOp(ctx) {} |
39 | |
40 | protected: |
41 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
42 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
43 | }; |
44 | |
45 | #if defined(INTEL_MKL) |
46 | class MklTransposeCpuOp : public TransposeOp { |
47 | public: |
48 | explicit MklTransposeCpuOp(OpKernelConstruction* ctx) : TransposeOp(ctx) {} |
49 | |
50 | protected: |
51 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
52 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
53 | }; |
54 | #endif // INTEL_MKL |
55 | |
56 | class TransposeGpuOp : public TransposeOp { |
57 | public: |
58 | explicit TransposeGpuOp(OpKernelConstruction* ctx) : TransposeOp(ctx) {} |
59 | |
60 | protected: |
61 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
62 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
63 | }; |
64 | |
65 | |
66 | // Conjugating transpose ops. |
67 | class ConjugateTransposeCpuOp : public TransposeOp { |
68 | public: |
69 | explicit ConjugateTransposeCpuOp(OpKernelConstruction* ctx) |
70 | : TransposeOp(ctx) {} |
71 | |
72 | protected: |
73 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
74 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
75 | bool IsConjugate() const override { return true; } |
76 | }; |
77 | |
78 | #if defined(INTEL_MKL) |
79 | class MklConjugateTransposeCpuOp : public TransposeOp { |
80 | public: |
81 | explicit MklConjugateTransposeCpuOp(OpKernelConstruction* ctx) |
82 | : TransposeOp(ctx) {} |
83 | |
84 | protected: |
85 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
86 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
87 | bool IsConjugate() const override { return true; } |
88 | }; |
89 | #endif // INTEL_MKL |
90 | |
91 | class ConjugateTransposeGpuOp : public TransposeOp { |
92 | public: |
93 | explicit ConjugateTransposeGpuOp(OpKernelConstruction* ctx) |
94 | : TransposeOp(ctx) {} |
95 | |
96 | protected: |
97 | Status DoTranspose(OpKernelContext* ctx, const Tensor& in, |
98 | gtl::ArraySlice<int32> perm, Tensor* out) override; |
99 | bool IsConjugate() const override { return true; } |
100 | }; |
101 | |
102 | |
103 | } // namespace tensorflow |
104 | |
105 | #endif // TENSORFLOW_CORE_KERNELS_TRANSPOSE_OP_H_ |
106 | |