1 /*
2 * Copyright (C) 2019 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "OperationsUtils.h"
18 #define LOG_TAG "Operations"
19
20 #include "HalInterfaces.h"
21 #include "OperationResolver.h"
22
23 namespace android {
24 namespace nn {
25 namespace fill_op {
26
27 constexpr uint32_t kNumInputs = 2;
28 constexpr uint32_t kDimsTensor = 0;
29 constexpr uint32_t kValueScalar = 1;
30
31 constexpr uint32_t kNumOutputs = 1;
32 constexpr uint32_t kOutputTensor = 0;
33
34 namespace {
35
36 using namespace hal;
37
38 template <typename T>
executeTyped(IOperationExecutionContext * context)39 bool executeTyped(IOperationExecutionContext* context) {
40 T* output = context->getOutputBuffer<T>(kOutputTensor);
41 const int numElements = getNumberOfElements(context->getOutputShape(kOutputTensor));
42 const T value = context->getInputValue<T>(kValueScalar);
43 for (int i = 0; i < numElements; ++i) {
44 output[i] = value;
45 }
46 return true;
47 }
48
getValueType(OperandType outputType,OperandType * valueType)49 bool getValueType(OperandType outputType, OperandType* valueType) {
50 switch (outputType) {
51 case OperandType::TENSOR_FLOAT16:
52 *valueType = OperandType::FLOAT16;
53 return true;
54 case OperandType::TENSOR_FLOAT32:
55 *valueType = OperandType::FLOAT32;
56 return true;
57 case OperandType::TENSOR_INT32:
58 *valueType = OperandType::INT32;
59 return true;
60 default:
61 NN_RET_CHECK_FAIL() << "Unsupported value type for fill op: " << toString(outputType);
62 }
63 }
64
65 } // namespace
66
validate(const IOperationValidationContext * context)67 bool validate(const IOperationValidationContext* context) {
68 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
69 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
70 // Check output type first because input value type is dependent on the
71 // output type.
72 OperandType outputType = context->getOutputType(kOutputTensor);
73 NN_RET_CHECK(outputType == OperandType::TENSOR_FLOAT16 ||
74 outputType == OperandType::TENSOR_FLOAT32 ||
75 outputType == OperandType::TENSOR_INT32)
76 << "Unsupported output type for fill op: " << toString(outputType);
77 NN_RET_CHECK(validateOutputTypes(context, {outputType}));
78
79 OperandType valueType;
80 NN_RET_CHECK(getValueType(outputType, &valueType));
81 NN_RET_CHECK(validateInputTypes(context, {OperandType::TENSOR_INT32, valueType}));
82
83 return validateHalVersion(context, HalVersion::V1_3);
84 }
85
prepare(IOperationExecutionContext * context)86 bool prepare(IOperationExecutionContext* context) {
87 Shape dimsShape = context->getInputShape(kDimsTensor);
88 NN_RET_CHECK_EQ(getNumberOfDimensions(dimsShape), 1);
89
90 Shape outputShape = context->getOutputShape(kOutputTensor);
91 outputShape.dimensions.resize(dimsShape.dimensions[0]);
92 const int32_t* dims = context->getInputBuffer<int32_t>(kDimsTensor);
93 for (int i = 0; i < dimsShape.dimensions[0]; ++i) {
94 outputShape.dimensions[i] = dims[i];
95 }
96 return context->setOutputShape(kOutputTensor, outputShape);
97 }
98
execute(IOperationExecutionContext * context)99 bool execute(IOperationExecutionContext* context) {
100 switch (context->getInputType(kValueScalar)) {
101 case OperandType::FLOAT16:
102 return executeTyped<_Float16>(context);
103 case OperandType::FLOAT32:
104 return executeTyped<float>(context);
105 case OperandType::INT32:
106 return executeTyped<int32_t>(context);
107 default:
108 NN_RET_CHECK_FAIL() << "Unsupported value type for fill op.";
109 }
110 }
111
112 } // namespace fill_op
113
114 NN_REGISTER_OPERATION(FILL, "FILL", fill_op::validate, fill_op::prepare, fill_op::execute);
115
116 } // namespace nn
117 } // namespace android
118