1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15#include <vector> 16 17#include "tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.h" 18#include "tensorflow/contrib/lite/toco/model.h" 19#include "tensorflow/contrib/lite/toco/tooling_util.h" 20#include "tensorflow/core/platform/logging.h" 21 22namespace toco { 23 24namespace { 25 26template <ArrayDataType Type> 27void Stack(Model* model, StackOperator const& op) { 28 auto& output_array = model->GetArray(op.outputs[0]); 29 CHECK(output_array.data_type == Type); 30 31 // Create a buffer for the output array 32 std::vector<DataType<Type>>& output_data = 33 output_array.GetMutableBuffer<Type>().data; 34 output_data.resize(RequiredBufferSizeForShape(output_array.shape())); 35 36 // Stack inputs into buffer 37 CHECK_EQ(op.axis, 0) << "Stacking only supported along first axis"; 38 int dst_offset = 0; 39 for (int i = 0; i < op.inputs.size(); i++) { 40 // Append array data to output for each input array 41 const auto& input_array = model->GetArray(op.inputs[i]); 42 int input_size = RequiredBufferSizeForShape(input_array.shape()); 43 memcpy(&output_data[dst_offset], &input_array.GetBuffer<Type>().data[0], 44 input_size * sizeof(Type)); 45 dst_offset += input_size; 46 } 47 CHECK_EQ(dst_offset, output_data.size()); 48} 49 50} // namespace 51 52bool ResolveConstantStack::Run(Model* model, std::size_t op_index) { 53 auto it = model->operators.begin() + op_index; 54 const auto* base_op = it->get(); 55 if (base_op->type != OperatorType::kStack) { 56 return false; 57 } 58 const auto* op = static_cast<const StackOperator*>(base_op); 59 60 CHECK_GE(op->inputs.size(), 1); 61 CHECK_EQ(op->outputs.size(), 1); 62 auto& output_array = model->GetArray(op->outputs[0]); 63 if (output_array.data_type == ArrayDataType::kNone) { 64 // Yield until the output type has been set by PropagateArrayDataTypes 65 return false; 66 } 67 68 if (!output_array.has_shape()) { 69 // Yield until the output shape has been set by PropagateFixedShapes 70 return false; 71 } 72 73 for (const auto& input : op->inputs) { 74 if (!IsConstantParameterArray(*model, input)) { 75 // Yield if any input is mutable 76 return false; 77 } 78 } 79 80 CHECK(!output_array.buffer); 81 switch (output_array.data_type) { 82 case ArrayDataType::kFloat: 83 Stack<ArrayDataType::kFloat>(model, *op); 84 break; 85 case ArrayDataType::kUint8: 86 Stack<ArrayDataType::kUint8>(model, *op); 87 break; 88 case ArrayDataType::kInt32: 89 Stack<ArrayDataType::kInt32>(model, *op); 90 break; 91 case ArrayDataType::kInt64: 92 Stack<ArrayDataType::kInt64>(model, *op); 93 break; 94 default: 95 LOG(FATAL) << "Unsupported data type given to Stack op with output \"" 96 << op->outputs[0] << "\""; 97 break; 98 } 99 100 // Erase input arrays if no longer used 101 for (const auto& input : op->inputs) { 102 if (IsDiscardableArray(*model, input) && 103 CountOpsWithInput(*model, input) == 1) { 104 model->EraseArray(input); 105 } 106 } 107 108 // Erase the operator 109 model->operators.erase(it); 110 return true; 111} 112 113} // namespace toco 114