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/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <vector>
#include "tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.h"
#include "tensorflow/contrib/lite/toco/graph_transformations/remove_trivial_passthrough.h"
#include "tensorflow/contrib/lite/toco/model.h"
#include "tensorflow/contrib/lite/toco/tooling_util.h"
#include "tensorflow/core/platform/logging.h"
namespace toco {
// Resolves a constant Select operation.
//
// This implementation is looking strictly for all-or-nothing on the select
// condition. It's possible to enhance this by looking per-element and possibly
// producing a Mul op.
::tensorflow::Status ResolveConstantSelect::Run(Model* model,
std::size_t op_index,
bool* modified) {
*modified = false;
auto it = model->operators.begin() + op_index;
const auto* base_op = it->get();
if (base_op->type != OperatorType::kSelect) {
return ::tensorflow::Status::OK();
}
const auto* op = static_cast<const SelectOperator*>(base_op);
CHECK_GE(op->inputs.size(), 3);
CHECK_EQ(op->outputs.size(), 1);
auto& output_array = model->GetArray(op->outputs[0]);
if (output_array.data_type == ArrayDataType::kNone) {
// Yield until the output type has been set by PropagateArrayDataTypes.
return ::tensorflow::Status::OK();
}
if (!output_array.has_shape()) {
// Yield until the output shape has been set by PropagateFixedShapes.
return ::tensorflow::Status::OK();
}
// We require the cond input to be constant.
if (!IsConstantParameterArray(*model, op->inputs[0])) {
return ::tensorflow::Status::OK();
}
const Array& cond_array = model->GetArray(op->inputs[0]);
CHECK(cond_array.data_type == ArrayDataType::kBool)
<< "Only bool conditions are supported";
const auto& cond_data = cond_array.GetBuffer<ArrayDataType::kBool>().data;
if (cond_data.empty()) {
return ::tensorflow::Status::OK();
}
// Check if the condition is the same for all elements.
bool cond_value = cond_data[0];
for (size_t i = 1; i < cond_data.size(); ++i) {
if (cond_data[i] != cond_value) {
AddMessageF(
"Cannot resolve %s as constant; cond_array has differing "
"per-element values",
LogName(*op));
return ::tensorflow::Status::OK();
}
}
// Pass-through the selected input.
*modified =
RemoveTrivialPassthroughOp(this, model, op_index, cond_value ? 1 : 2);
return ::tensorflow::Status::OK();
}
} // namespace toco
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