1 | /* Copyright 2015 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 | #include "tensorflow/core/framework/lookup_interface.h" |
17 | |
18 | #include "tensorflow/core/framework/tensor_shape.h" |
19 | #include "tensorflow/core/lib/core/errors.h" |
20 | |
21 | namespace tensorflow { |
22 | namespace lookup { |
23 | |
24 | Status LookupInterface::CheckKeyShape(const TensorShape& shape) { |
25 | if (!TensorShapeUtils::EndsWith(shape, key_shape())) { |
26 | return errors::InvalidArgument("Input key shape " , shape.DebugString(), |
27 | " must end with the table's key shape " , |
28 | key_shape().DebugString()); |
29 | } |
30 | return OkStatus(); |
31 | } |
32 | |
33 | Status LookupInterface::CheckKeyAndValueTypes(const Tensor& keys, |
34 | const Tensor& values) { |
35 | if (keys.dtype() != key_dtype()) { |
36 | return errors::InvalidArgument("Key must be type " , key_dtype(), |
37 | " but got " , keys.dtype()); |
38 | } |
39 | if (values.dtype() != value_dtype()) { |
40 | return errors::InvalidArgument("Value must be type " , value_dtype(), |
41 | " but got " , values.dtype()); |
42 | } |
43 | return OkStatus(); |
44 | } |
45 | |
46 | Status LookupInterface::CheckKeyAndValueTensorsHelper(const Tensor& keys, |
47 | const Tensor& values) { |
48 | TF_RETURN_IF_ERROR(CheckKeyAndValueTypes(keys, values)); |
49 | TF_RETURN_IF_ERROR(CheckKeyShape(keys.shape())); |
50 | |
51 | TensorShape expected_value_shape = keys.shape(); |
52 | for (int i = 0; i < key_shape().dims(); ++i) { |
53 | expected_value_shape.RemoveDim(expected_value_shape.dims() - 1); |
54 | } |
55 | expected_value_shape.AppendShape(value_shape()); |
56 | if (values.shape() != expected_value_shape) { |
57 | return errors::InvalidArgument( |
58 | "Expected shape " , expected_value_shape.DebugString(), |
59 | " for value, got " , values.shape().DebugString()); |
60 | } |
61 | return OkStatus(); |
62 | } |
63 | |
64 | Status LookupInterface::CheckKeyAndValueTensorsForInsert(const Tensor& keys, |
65 | const Tensor& values) { |
66 | return CheckKeyAndValueTensorsHelper(keys, values); |
67 | } |
68 | |
69 | Status LookupInterface::CheckKeyAndValueTensorsForImport(const Tensor& keys, |
70 | const Tensor& values) { |
71 | return CheckKeyAndValueTensorsHelper(keys, values); |
72 | } |
73 | |
74 | Status LookupInterface::CheckKeyTensorForRemove(const Tensor& keys) { |
75 | if (keys.dtype() != key_dtype()) { |
76 | return errors::InvalidArgument("Key must be type " , key_dtype(), |
77 | " but got " , keys.dtype()); |
78 | } |
79 | return CheckKeyShape(keys.shape()); |
80 | } |
81 | |
82 | Status LookupInterface::CheckFindArguments(const Tensor& key, |
83 | const Tensor& default_value) { |
84 | TF_RETURN_IF_ERROR(CheckKeyAndValueTypes(key, default_value)); |
85 | TF_RETURN_IF_ERROR(CheckKeyShape(key.shape())); |
86 | TensorShape fullsize_value_shape = key.shape(); |
87 | for (int i = 0; i < key_shape().dims(); ++i) { |
88 | fullsize_value_shape.RemoveDim(fullsize_value_shape.dims() - 1); |
89 | } |
90 | fullsize_value_shape.AppendShape(value_shape()); |
91 | if (default_value.shape() != value_shape() && |
92 | default_value.shape() != fullsize_value_shape) { |
93 | return errors::InvalidArgument( |
94 | "Expected shape " , value_shape().DebugString(), " or " , |
95 | fullsize_value_shape.DebugString(), " for default value, got " , |
96 | default_value.shape().DebugString()); |
97 | } |
98 | return OkStatus(); |
99 | } |
100 | |
101 | } // namespace lookup |
102 | } // namespace tensorflow |
103 | |