Squeeze.cc

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/*
 * Copyright (c) 2025 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 "../KernelGenerator.h"
#include "../Validator.h"
 
#include <AclKernelGen.h>
 
namespace onert::backend::acl_neon
{
 
void Validator::visit(const ir::operation::Squeeze &) { _supported = true; }
 
void KernelGenerator::visit(const ir::operation::Squeeze &node)
{
  // Squeeze is identical to reshape except that it has an optional dimensions input.
  // In addition, optional dims_index is ignored since output tensor already has squeezed shape
  // by freezer and toco
  const auto output_index{node.getOutputs().at(0)};
  const auto input_index{node.getInputs().at(ir::operation::Squeeze::Input::INPUT)};
  const auto dims{node.param().dims};
  const auto ndim{node.param().ndim};
  (void)dims;
  (void)ndim;
 
  auto output_tensor = _tensor_reg->getAclTensor(output_index);
  auto input_tensor = _tensor_reg->getAclTensor(input_index);
  auto fn = acl_common::generateLayer<arm_compute::NEReshapeLayer>(input_tensor->handle(),
                                                                   output_tensor->handle());
  _return_fn = acl_common::asAclFunction(std::move(fn));
}
 
} // namespace onert::backend::acl_neon