2021-06-04 14:43:17 +08:00
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/****************************************************************************
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*
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* Copyright (c) 2021 Vivante Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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*****************************************************************************/
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#include "tim/vx/ops/groupedconv2d.h"
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2022-09-14 15:20:57 +08:00
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#include "builtin_op_impl.h"
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2021-06-04 14:43:17 +08:00
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#include "type_utils.h"
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#include "vsi_nn_pub.h"
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namespace tim {
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namespace vx {
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namespace ops {
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GroupedConv2d::GroupedConv2d(Graph* graph,
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PadType padding,
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const std::array<uint32_t, 2>& strides,
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const std::array<uint32_t, 2>& dilation,
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int32_t group_number,
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DataLayout input_layout, DataLayout kernel_layout)
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: BuiltinOp(graph, VSI_NN_OP_GROUPED_CONV2D, 3, 1, input_layout),
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padding_(padding), strides_(strides), dilation_(dilation),
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pad_({0,0,0,0}), group_number_(group_number),
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kernel_layout_(kernel_layout) {
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2022-12-14 09:58:32 +08:00
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this->impl()->node()->nn_param.grouped_conv2d.stride[0] = strides_[0];
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this->impl()->node()->nn_param.grouped_conv2d.stride[1] = strides_[1];
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this->impl()->node()->nn_param.grouped_conv2d.pad_type = TranslatePadType(padding_);
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this->impl()->node()->nn_param.grouped_conv2d.group = group_number_;
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this->impl()->node()->nn_param.grouped_conv2d.dilation[0] = dilation_[0];
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this->impl()->node()->nn_param.grouped_conv2d.dilation[1] = dilation_[1];
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}
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GroupedConv2d::GroupedConv2d(Graph* graph,
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const std::array<uint32_t, 4>& pad,
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const std::array<uint32_t, 2>& strides,
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const std::array<uint32_t, 2>& dilation,
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int32_t group_number,
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DataLayout input_layout, DataLayout kernel_layout)
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: BuiltinOp(graph, VSI_NN_OP_GROUPED_CONV2D, 3, 1, input_layout),
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padding_(PadType::AUTO), strides_(strides), dilation_(dilation), pad_(pad),
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group_number_(group_number), kernel_layout_(kernel_layout) {
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2021-12-06 19:20:13 +08:00
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this->impl()->node()->nn_param.grouped_conv2d.stride[0] = strides_[0];
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this->impl()->node()->nn_param.grouped_conv2d.stride[1] = strides_[1];
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this->impl()->node()->nn_param.grouped_conv2d.group = group_number_;
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this->impl()->node()->nn_param.grouped_conv2d.dilation[0] = dilation_[0];
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this->impl()->node()->nn_param.grouped_conv2d.dilation[1] = dilation_[1];
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this->impl()->node()->nn_param.grouped_conv2d.pad[0] = pad_[0];
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this->impl()->node()->nn_param.grouped_conv2d.pad[1] = pad_[1];
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this->impl()->node()->nn_param.grouped_conv2d.pad[2] = pad_[2];
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this->impl()->node()->nn_param.grouped_conv2d.pad[3] = pad_[3];
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}
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2021-07-05 19:26:25 +08:00
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std::shared_ptr<Operation> GroupedConv2d::Clone(
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std::shared_ptr<Graph>& graph) const {
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return graph->CreateOperation<GroupedConv2d>(
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this->pad_, this->strides_, this->dilation_, this->group_number_,
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this->impl_->layout_, this->kernel_layout_);
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}
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2021-06-04 14:43:17 +08:00
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} // namespace ops
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} // namespace vx
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} // namespace tim
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