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Diffstat (limited to 'compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp')
-rw-r--r-- | compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp | 123 |
1 files changed, 123 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp b/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp new file mode 100644 index 000000000..d2fa3d1eb --- /dev/null +++ b/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp @@ -0,0 +1,123 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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 "moco/Import/Nodes/FakeQuantWithMinMaxVars.h" + +#include <moco/IR/Nodes/TFFakeQuantWithMinMaxVars.h> + +#include <moco/Names.h> + +#include "Convert.h" + +#include <plier/tf/Convert.h> +#include <loco/IR/PermutingCodec.h> +#include <stdex/Memory.h> + +#include <cassert> + +using namespace plier::tf; + +namespace +{ +using namespace moco; + +class TFFakeQuantWithMinMaxVarsGraphUpdate final : public GraphUpdate +{ +public: + TFFakeQuantWithMinMaxVarsGraphUpdate(TFFakeQuantWithMinMaxVars *node, + std::vector<TensorName> names) + : _node(node), _names(names) + { + } + + void input(const SymbolTable *) const override; + +private: + TFFakeQuantWithMinMaxVars *_node; + std::vector<TensorName> _names; +}; + +void TFFakeQuantWithMinMaxVarsGraphUpdate::input(const SymbolTable *node_table) const +{ + assert(_names.size() == 3); + + auto inputs_node = node_table->node(_names[0]); + auto min_node = node_table->node(_names[1]); + auto max_node = node_table->node(_names[2]); + assert(inputs_node != nullptr); + assert(min_node != nullptr); + assert(max_node != nullptr); + + _node->inputs(inputs_node); + _node->min(min_node); + _node->max(max_node); +} + +} // namespace + +namespace moco +{ + +bool FakeQuantWithMinMaxVarsGraphBuilder::validate(const tensorflow::NodeDef &node) const +{ + if (node.input_size() != 3) + return false; + + // attrs "narrow_range", "num_bits" are optional + return true; +} + +void FakeQuantWithMinMaxVarsGraphBuilder::build(const tensorflow::NodeDef &node, + GraphBuilderContext *context) const +{ + assert(context != nullptr); + + loco::Graph *graph = context->graph(); + SymbolTable *tensor_names = context->tensor_names(); + UpdateQueue *updates = context->updates(); + + auto fakequant_node = graph->nodes()->create<TFFakeQuantWithMinMaxVars>(); + fakequant_node->name(node.name()); + + // read optional attributes + if (has_attr(node, "num_bits")) + { + auto num_bits = get_int_attr(node, "num_bits"); + fakequant_node->num_bits(num_bits); + } + if (has_attr(node, "narrow_range")) + { + auto narrow_range = get_bool_attr(node, "narrow_range"); + fakequant_node->narrow_range(narrow_range); + } + + // save the name for graph link updates + TensorName output_name(node.name(), 0); + tensor_names->enroll(output_name, fakequant_node); + + std::vector<TensorName> input_names; + input_names.push_back(TensorName(node.input(0))); // inputs + input_names.push_back(TensorName(node.input(1))); // min + input_names.push_back(TensorName(node.input(2))); // max + + // Record ifm inputs to featureEncode_node + auto tffakequant_update = + stdex::make_unique<TFFakeQuantWithMinMaxVarsGraphUpdate>(fakequant_node, input_names); + + updates->enroll(std::move(tffakequant_update)); +} + +} // namespace moco |