Gather.cc

Go to the documentation of this file.

/*
 * 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_cl
{
 
void Validator::visit(const ir::operation::Gather &) { _supported = true; }
 
void KernelGenerator::visit(const ir::operation::Gather &node)
{
  const auto ofm_index{node.getOutputs().at(0)};
 
  const auto ifm_index{node.getInputs().at(ir::operation::Gather::Input::INPUT)};
  const auto indices_index{node.getInputs().at(ir::operation::Gather::Input::INDICES)};
 
  const auto ifm_rank = _ctx.at(ifm_index).shape().rank();
  const auto axis_raw = node.param().axis;
  const auto axis_value = (axis_raw < 0 ? (ifm_rank + axis_raw) : axis_raw);
  const int axis = ::onert::backend::acl_common::ToARMComputeAxis(ifm_rank, axis_value).value();
 
  auto ofm_tensor = _tensor_reg->getAclTensor(ofm_index);
  auto ifm_tensor = _tensor_reg->getAclTensor(ifm_index);
  auto indices_tensor = _tensor_reg->getAclTensor(indices_index);
 
  // input is n-D, indices k-D, output is (n + k - 1)-D
  size_t n = ifm_rank;
  assert(n == ifm_tensor->num_dimensions());
  size_t k = _ctx.at(indices_index).shape().rank();
  assert(k == indices_tensor->num_dimensions());
 
  // Disable applied dim_correction
  if (n != ifm_tensor->info()->num_dimensions())
  {
    // This means that high dimension's value is 1 and ifm tensor is applied dim_correction
    acl_common::disableDimCorrection(ifm_tensor);
  }
  if (k != indices_tensor->info()->num_dimensions())
  {
    // This means that high dimension's value is 1 and indices tensor is applied dim_correction
    acl_common::disableDimCorrection(indices_tensor);
  }
 
  auto fn = acl_common::generateLayer<arm_compute::CLGather>(
    ifm_tensor->handle(), indices_tensor->handle(), ofm_tensor->handle(), axis);
 
  // Revert disabling applied dim_correction
  if (ifm_tensor->dimension(0) == 1)
  {
    acl_common::enableDimCorrection(ifm_tensor);
  }
  if (indices_tensor->dimension(0) == 1)
  {
    acl_common::enableDimCorrection(indices_tensor);
  }
 
  _return_fn = acl_common::asAclFunction(std::move(fn));
}
 
} // namespace onert::backend::acl_cl