onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation 
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/*******************************************************************************
* Copyright 2025 Intel Corporation
*
* 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 "gpu/intel/conv/config.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace conv {

void set_default_conf(conf_t &conf, const desc_t &cd,
        const memory_desc_t &src_md, const memory_desc_t &weights_md,
        const memory_desc_t &dst_md, const memory_desc_t &bias_md,
        const primitive_attr_t &attr) {

    const memory_desc_wrapper src_mdw(&src_md);
    const memory_desc_wrapper weights_mdw(&weights_md);
    const memory_desc_wrapper dst_mdw(&dst_md);
    const memory_desc_wrapper bias_mdw(&bias_md);

    const bool with_groups = weights_mdw.ndims() == src_mdw.ndims() + 1;
    int ndims = src_mdw.ndims();

    conf = utils::zero<decltype(conf)>();
    conf.with_groups = with_groups;
    conf.ndims = ndims;
    conf.prop_kind = cd.prop_kind;
    conf.ngroups = with_groups ? weights_mdw.dims()[0] : 1;
    conf.mb = src_mdw.dims()[0];
    conf.oc_without_padding = dst_mdw.dims()[1] / conf.ngroups;
    conf.ic_without_padding = src_mdw.dims()[1] / conf.ngroups;
    conf.id = (ndims == 5) ? src_mdw.dims()[2] : 1;
    conf.ih = (ndims == 3) ? 1 : src_mdw.dims()[ndims - 2];
    conf.iw = src_mdw.dims()[ndims - 1];
    conf.od = (ndims == 5) ? dst_mdw.dims()[2] : 1;
    conf.oh = (ndims == 3) ? 1 : dst_mdw.dims()[ndims - 2];
    conf.ow = dst_mdw.dims()[ndims - 1];
    conf.kd = (ndims == 5) ? weights_mdw.dims()[with_groups + 2] : 1;
    conf.kh = (ndims == 3) ? 1 : weights_mdw.dims()[with_groups + ndims - 2];
    conf.kw = weights_mdw.dims()[with_groups + ndims - 1];

    conf.is_depthwise = conf.with_groups && conf.oc_without_padding == 1
            && conf.ic_without_padding == 1;
    conf.oc = dst_mdw.dims()[1] / conf.ngroups;
    conf.ic = src_mdw.dims()[1] / conf.ngroups;

    conf.f_pad = (ndims == 5) ? cd.padding[0][0] : 0;
    conf.back_pad = (ndims == 5) ? cd.padding[1][0] : 0;
    conf.t_pad = (ndims == 3) ? 0 : cd.padding[0][ndims - 4];
    conf.b_pad = (ndims == 3) ? 0 : cd.padding[1][ndims - 4];
    conf.l_pad = cd.padding[0][ndims - 3];
    conf.r_pad = cd.padding[1][ndims - 3];
    conf.stride_d = (ndims == 5) ? cd.strides[0] : 1;
    conf.stride_h = (ndims == 3) ? 1 : cd.strides[ndims - 4];
    conf.stride_w = cd.strides[ndims - 3];
    conf.dilate_d = (ndims == 5) ? cd.dilates[0] : 0;
    conf.dilate_h = (ndims == 3) ? 0 : cd.dilates[ndims - 4];
    conf.dilate_w = cd.dilates[ndims - 3];

    conf.with_bias = bias_mdw.format_kind() != format_kind::undef;

    conf.src_data_type = src_mdw.data_type();
    conf.weights_data_type = weights_mdw.data_type();
    conf.dst_data_type = dst_mdw.data_type();

    conf.acc_data_type = cd.accum_data_type;
    conf.bias_data_type
            = conf.with_bias ? bias_mdw.data_type() : data_type::f32;

    if (!src_mdw.format_any())
        conf.src_md_info = memory_desc_info_t::create(src_mdw);
    if (!weights_mdw.format_any())
        conf.wei_md_info = memory_desc_info_t::create(weights_mdw);
    if (!dst_mdw.format_any())
        conf.dst_md_info = memory_desc_info_t::create(dst_mdw);

    conf.attr_info = attr_info_t::create(&attr);
}

} // namespace conv
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl