diff options
Diffstat (limited to 'compiler/tflchef/tflite/src/Op/ArgMin.cpp')
-rw-r--r-- | compiler/tflchef/tflite/src/Op/ArgMin.cpp | 54 |
1 files changed, 0 insertions, 54 deletions
diff --git a/compiler/tflchef/tflite/src/Op/ArgMin.cpp b/compiler/tflchef/tflite/src/Op/ArgMin.cpp deleted file mode 100644 index faab0b830..000000000 --- a/compiler/tflchef/tflite/src/Op/ArgMin.cpp +++ /dev/null @@ -1,54 +0,0 @@ -/* - * Copyright (c) 2020 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 "ArgMin.h" - -#include "Convert.h" - -namespace tflchef -{ - -void TFliteOpArgMin::filler(const tflite::Operator *op, TFliteImport *import, - tflchef::ModelRecipe *model_recipe) const -{ - // filler for second input, argmin/dim - const auto &inputs = *op->inputs(); - - const tflite::Tensor *dim_tensor = import->tensors()->Get(inputs[1]); - assert(dim_tensor->type() == tflite::TensorType::TensorType_INT32); - const tflite::Buffer *buffer = import->buffers()->Get(dim_tensor->buffer()); - auto vec = extract_buffer<int32_t>(buffer); - import->set_tensor_filler(inputs[1], vec); -} - -tflchef::Operation *TFliteOpArgMin::build(const tflite::Operator *op, TFliteImport *import, - tflchef::ModelRecipe *model_recipe) const -{ - auto op_params = op->builtin_options_as_ArgMinOptions(); - assert(op_params != nullptr); - - auto operation = model_recipe->add_operation(); - - operation->set_type("ArgMin"); - - auto op_options = operation->mutable_argmin_options(); - - op_options->set_output_type(as_tflchef_type(op_params->output_type())); - - return operation; -} - -} // namespace tflchef |