1 | /* Copyright 2019 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 | #include "tensorflow/lite/c/common.h" |
16 | #include "tensorflow/lite/core/subgraph.h" |
17 | #include "tensorflow/lite/experimental/resource/lookup_interfaces.h" |
18 | #include "tensorflow/lite/kernels/internal/tensor_ctypes.h" |
19 | #include "tensorflow/lite/kernels/kernel_util.h" |
20 | |
21 | namespace tflite { |
22 | namespace ops { |
23 | namespace builtin { |
24 | |
25 | namespace hashtable { |
26 | |
27 | constexpr int kInputResourceIdTensor = 0; |
28 | constexpr int kKeyTensor = 1; |
29 | constexpr int kValueTensor = 2; |
30 | |
31 | TfLiteStatus PrepareHashtableImport(TfLiteContext* context, TfLiteNode* node) { |
32 | TF_LITE_ENSURE_EQ(context, NumInputs(node), 3); |
33 | TF_LITE_ENSURE_EQ(context, NumOutputs(node), 0); |
34 | |
35 | const TfLiteTensor* input_resource_id_tensor; |
36 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputResourceIdTensor, |
37 | &input_resource_id_tensor)); |
38 | TF_LITE_ENSURE_EQ(context, input_resource_id_tensor->type, kTfLiteResource); |
39 | TF_LITE_ENSURE_EQ(context, NumDimensions(input_resource_id_tensor), 1); |
40 | TF_LITE_ENSURE_EQ(context, SizeOfDimension(input_resource_id_tensor, 0), 1); |
41 | |
42 | const TfLiteTensor* key_tensor; |
43 | TF_LITE_ENSURE_OK(context, |
44 | GetInputSafe(context, node, kKeyTensor, &key_tensor)); |
45 | const TfLiteTensor* value_tensor; |
46 | TF_LITE_ENSURE_OK(context, |
47 | GetInputSafe(context, node, kValueTensor, &value_tensor)); |
48 | TF_LITE_ENSURE(context, (key_tensor->type == kTfLiteInt64 && |
49 | value_tensor->type == kTfLiteString) || |
50 | (key_tensor->type == kTfLiteString && |
51 | value_tensor->type == kTfLiteInt64)); |
52 | // TODO(b/144731295): Tensorflow lookup ops support 1-D vector in storing |
53 | // values. |
54 | TF_LITE_ENSURE(context, HaveSameShapes(key_tensor, value_tensor)); |
55 | return kTfLiteOk; |
56 | } |
57 | |
58 | TfLiteStatus EvalHashtableImport(TfLiteContext* context, TfLiteNode* node) { |
59 | const TfLiteTensor* input_resource_id_tensor; |
60 | TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputResourceIdTensor, |
61 | &input_resource_id_tensor)); |
62 | const int resource_id = input_resource_id_tensor->data.i32[0]; |
63 | |
64 | const TfLiteTensor* key_tensor; |
65 | TF_LITE_ENSURE_OK(context, |
66 | GetInputSafe(context, node, kKeyTensor, &key_tensor)); |
67 | const TfLiteTensor* value_tensor; |
68 | TF_LITE_ENSURE_OK(context, |
69 | GetInputSafe(context, node, kValueTensor, &value_tensor)); |
70 | |
71 | Subgraph* subgraph = reinterpret_cast<Subgraph*>(context->impl_); |
72 | auto& resources = subgraph->resources(); |
73 | auto* lookup = resource::GetHashtableResource(&resources, resource_id); |
74 | TF_LITE_ENSURE(context, lookup != nullptr); |
75 | TF_LITE_ENSURE_STATUS( |
76 | lookup->CheckKeyAndValueTypes(context, key_tensor, value_tensor)); |
77 | // The hashtable resource will only be initialized once, attempting to |
78 | // initialize it multiple times will be a no-op. |
79 | auto result = lookup->Import(context, key_tensor, value_tensor); |
80 | return result; |
81 | } |
82 | |
83 | } // namespace hashtable |
84 | |
85 | TfLiteRegistration* Register_HASHTABLE_IMPORT() { |
86 | static TfLiteRegistration r = {/*init=*/nullptr, |
87 | /*free=*/nullptr, |
88 | hashtable::PrepareHashtableImport, |
89 | hashtable::EvalHashtableImport}; |
90 | return &r; |
91 | } |
92 | |
93 | } // namespace builtin |
94 | } // namespace ops |
95 | } // namespace tflite |
96 | |