InstanceNorm.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 <AclActivationBuilder.h>
#include <AclKernelGen.h>
 
namespace onert::backend::acl_neon
{
 
using ActivationBuilder =
  acl_common::AclActivationBuilder<::arm_compute::ITensor, ::arm_compute::NEActivationLayer,
                                   acl_common::AclFunction>;
 
void Validator::visit(const ir::operation::InstanceNorm &) { _supported = true; }
 
void KernelGenerator::visit(const ir::operation::InstanceNorm &node)
{
  const auto ofm_index{node.getOutputs().at(0)};
  const auto ifm_index{node.getInputs().at(ir::operation::InstanceNorm::Input::INPUT)};
  const auto gamma_index{node.getInputs().at(ir::operation::InstanceNorm::Input::GAMMA)};
  const auto beta_index{node.getInputs().at(ir::operation::InstanceNorm::Input::BETA)};
 
  auto ofm_tensor = _tensor_reg->getAclTensor(ofm_index);
  auto ifm_tensor = _tensor_reg->getAclTensor(ifm_index);
  auto epsilon = node.param().epsilon;
  auto activation = node.param().activation;
 
  if (!_ctx.at(gamma_index).isConstant() || !_ctx.at(beta_index).isConstant())
    throw std::runtime_error{"Non-constant gamma or beta for acl_neon backend InstanceNorm"};
 
  auto gamma = _ctx.at(gamma_index).asScalar<float>();
  auto beta = _ctx.at(beta_index).asScalar<float>();
  auto fn = acl_common::generateLayer<arm_compute::NEInstanceNormalizationLayer>(
    ifm_tensor->handle(), ofm_tensor->handle(), gamma, beta, epsilon);
 
  _return_fn = std::make_unique<exec::FunctionSequence>(
    acl_common::asAclFunction(std::move(fn)),
    ActivationBuilder::generate(activation, ofm_tensor->handle()));
}
 
} // namespace onert::backend::acl_neon