1 | /* Copyright 2018 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 | #ifndef TENSORFLOW_CORE_KERNELS_RESOURCE_VARIABLE_OPS_H_ |
16 | #define TENSORFLOW_CORE_KERNELS_RESOURCE_VARIABLE_OPS_H_ |
17 | |
18 | #include "tensorflow/core/framework/op_kernel.h" |
19 | #include "tensorflow/core/framework/resource_mgr.h" |
20 | #include "tensorflow/core/framework/resource_var.h" |
21 | |
22 | namespace tensorflow { |
23 | |
24 | class VarHandleOp : public OpKernel { |
25 | public: |
26 | explicit VarHandleOp(OpKernelConstruction* c); |
27 | void Compute(OpKernelContext* ctx) override; |
28 | const Tensor* const_tensor() const override { |
29 | return is_anonymous_ ? nullptr : &const_tensor_; |
30 | } |
31 | |
32 | private: |
33 | // Same fields as in ResourceHandleOp. |
34 | bool is_anonymous_; |
35 | string container_; |
36 | string name_; |
37 | Tensor const_tensor_; |
38 | |
39 | DtypeAndPartialTensorShape dtype_and_shape_; |
40 | }; |
41 | |
42 | class ReadVariableOp : public OpKernel { |
43 | public: |
44 | explicit ReadVariableOp(OpKernelConstruction* c); |
45 | void Compute(OpKernelContext* ctx) override; |
46 | |
47 | private: |
48 | DataType dtype_; |
49 | }; |
50 | |
51 | class ReadVariablesOp : public OpKernel { |
52 | public: |
53 | explicit ReadVariablesOp(OpKernelConstruction* c); |
54 | void Compute(OpKernelContext* ctx) override; |
55 | bool IsExpensive() override { return false; } |
56 | |
57 | private: |
58 | DataTypeVector dtypes_; |
59 | }; |
60 | |
61 | class DestroyResourceOp : public OpKernel { |
62 | public: |
63 | explicit DestroyResourceOp(OpKernelConstruction* ctx); |
64 | void Compute(OpKernelContext* ctx) override; |
65 | |
66 | private: |
67 | bool ignore_lookup_error_; |
68 | }; |
69 | |
70 | class DisableCopyOnReadOp : public OpKernel { |
71 | public: |
72 | explicit DisableCopyOnReadOp(OpKernelConstruction* c) : OpKernel(c) {} |
73 | void Compute(OpKernelContext* ctx) override; |
74 | }; |
75 | |
76 | template <typename T> |
77 | class VariableShapeOp : public OpKernel { |
78 | public: |
79 | explicit VariableShapeOp(OpKernelConstruction* c) : OpKernel(c) {} |
80 | |
81 | void Compute(OpKernelContext* ctx) override { |
82 | core::RefCountPtr<Var> variable; |
83 | OP_REQUIRES_OK(ctx, |
84 | LookupResource(ctx, HandleFromInput(ctx, 0), &variable)); |
85 | variable->mu()->lock_shared(); |
86 | TensorShape shape = variable->tensor()->shape(); |
87 | variable->mu()->unlock_shared(); |
88 | Tensor* output; |
89 | OP_REQUIRES_OK(ctx, ctx->allocate_output(0, {shape.dims()}, &output)); |
90 | for (int i = 0; i < shape.dims(); ++i) { |
91 | output->flat<T>()(i) = shape.dim_size(i); |
92 | } |
93 | } |
94 | }; |
95 | |
96 | } // namespace tensorflow |
97 | |
98 | #endif // TENSORFLOW_CORE_KERNELS_RESOURCE_VARIABLE_OPS_H_ |
99 | |