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/*******************************************************************************
* Copyright 2022,2024 Arm Ltd. and affiliates
*
* 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 "cpu/aarch64/acl_deconvolution.hpp"
namespace dnnl {
namespace impl {
namespace cpu {
namespace aarch64 {
status_t acl_deconvolution_fwd_t::execute_forward(const exec_ctx_t &ctx) const {
// Lock here is needed because resource_mapper does not support
// concurrent multithreaded access.
std::lock_guard<std::mutex> _lock {this->mtx};
const auto &scratchpad = ctx.get_scratchpad_grantor();
auto src_base = CTX_IN_MEM(const void *, DNNL_ARG_SRC);
auto wei_base = CTX_IN_MEM(const void *, DNNL_ARG_WEIGHTS);
auto bia_base = CTX_IN_MEM(const void *, DNNL_ARG_BIAS);
bool use_dst_acc_for_sum = pd()->acl_pd_conf.use_dst_acc_for_sum;
// If we have an unfused sum post op, put the result in a scratchpad tensor.
// Result will be summed to the dst during acl_post_ops.execute
auto dst_base = use_dst_acc_for_sum
? scratchpad.get<void>(memory_tracking::names::key_generic_acc)
: CTX_OUT_MEM(void *, DNNL_ARG_DST);
// Retrieve primitive resource and configured Compute Library objects
auto *acl_resource
= ctx.get_resource_mapper()->get<acl_deconv_resource_t>(this);
acl_deconv_obj_t &acl_obj = acl_resource->get_acl_obj();
acl_obj.src_tensor.allocator()->import_memory(const_cast<void *>(src_base));
acl_obj.wei_tensor.allocator()->import_memory(const_cast<void *>(wei_base));
acl_obj.bia_tensor.allocator()->import_memory(const_cast<void *>(bia_base));
acl_obj.dst_tensor.allocator()->import_memory(dst_base);
acl_obj.deconv.run();
void *dst = acl_obj.dst_tensor.buffer();
pd()->post_ops.execute(ctx, dst);
acl_obj.src_tensor.allocator()->free();
acl_obj.dst_tensor.allocator()->free();
acl_obj.bia_tensor.allocator()->free();
acl_obj.wei_tensor.allocator()->free();
return status::success;
}
} // namespace aarch64
} // namespace cpu
} // namespace impl
} // namespace dnnl