2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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
8 * http://www.apache.org/licenses/LICENSE-2.0
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.
17 #include "luci/Pass/QuantizeWeightsPass.h"
18 #include "QuantizeWeightsOnly.h"
19 #include "QuantizationUtils.h"
26 bool QuantizeWeightsPass::run(loco::Graph *g)
29 INFO(l) << "QuantizeWeightsPass Start" << std::endl;
31 if (_ctx->input_model_dtype != loco::DataType::FLOAT32)
32 throw std::runtime_error("Weights-only quantization supports float32 input only");
35 for (auto node : loco::active_nodes(loco::output_nodes(g)))
37 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
38 QuantizeWeightsOnly qw(_ctx->input_model_dtype, _ctx->output_model_dtype, _ctx->granularity);
39 circle_node->accept(&qw);
42 INFO(l) << "QuantizeWeightsPass End" << std::endl;
43 return false; // one time run