diff options
Diffstat (limited to 'tensorflow/contrib/lite/toco/graph_transformations/read_array_minmax_and_narrow_range_from_fake_quant.cc')
-rw-r--r-- | tensorflow/contrib/lite/toco/graph_transformations/read_array_minmax_and_narrow_range_from_fake_quant.cc | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/toco/graph_transformations/read_array_minmax_and_narrow_range_from_fake_quant.cc b/tensorflow/contrib/lite/toco/graph_transformations/read_array_minmax_and_narrow_range_from_fake_quant.cc new file mode 100644 index 0000000000..5b41c49bfa --- /dev/null +++ b/tensorflow/contrib/lite/toco/graph_transformations/read_array_minmax_and_narrow_range_from_fake_quant.cc @@ -0,0 +1,78 @@ +/* Copyright 2017 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 <algorithm> +#include <memory> +#include <string> +#include <unordered_map> +#include <vector> + +#include "tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.h" +#include "tensorflow/contrib/lite/toco/model.h" +#include "tensorflow/contrib/lite/toco/tooling_util.h" +#include "tensorflow/core/platform/logging.h" + +namespace toco { + +namespace { + +bool ApplyAttrsToArray(GraphTransformation* transformation, Model* model, + const FakeQuantOperator& fq_op, + const string& array_name) { + bool changed = false; + auto& annotated_array = model->GetArray(array_name); + if (!annotated_array.minmax) { + const MinMax& minmax = *fq_op.minmax; + annotated_array.GetOrCreateMinMax() = minmax; + transformation->AddMessageF( + "Read min/max annotation for array %s: min=%g, max=%g", array_name, + minmax.min, minmax.max); + changed = true; + } + if (fq_op.narrow_range && !annotated_array.narrow_range) { + annotated_array.narrow_range = true; + transformation->AddMessageF("Read narrow_range annotation for array %s", + array_name); + changed = true; + } + return changed; +} + +} // end namespace + +bool ReadArrayMinmaxAndNarrowRangeFromFakeQuant::Run(Model* model, + std::size_t op_index) { + const auto fakequant_it = model->operators.begin() + op_index; + auto* fakequant_base_op = fakequant_it->get(); + if (fakequant_base_op->type != OperatorType::kFakeQuant) { + return false; + } + auto* fq_op = static_cast<FakeQuantOperator*>(fakequant_base_op); + + if (!fq_op->minmax) { + // Need to be resolved first by ResolveFakeQuantArgsFromVars. + return false; + } + + // At this point, this FakeQuantOperator should have a MinMax + // attached to it, and should only have 1 input (it should not have + // 2nd and 3rd input arrays giving min and max anymore). + CHECK(fq_op->minmax); + CHECK_EQ(1, fq_op->inputs.size()); + + return ApplyAttrsToArray(this, model, *fq_op, fq_op->inputs[0]) || + ApplyAttrsToArray(this, model, *fq_op, fq_op->outputs[0]); +} + +} // namespace toco |