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Diffstat (limited to 'src/graph/nodes/FusedConvolutionWithPostOpNode.cpp')
| -rw-r--r-- | src/graph/nodes/FusedConvolutionWithPostOpNode.cpp | 153 |
1 files changed, 0 insertions, 153 deletions
diff --git a/src/graph/nodes/FusedConvolutionWithPostOpNode.cpp b/src/graph/nodes/FusedConvolutionWithPostOpNode.cpp deleted file mode 100644 index 63341e2760..0000000000 --- a/src/graph/nodes/FusedConvolutionWithPostOpNode.cpp +++ /dev/null @@ -1,153 +0,0 @@ -/* - * Copyright (c) 2021 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "arm_compute/graph/nodes/FusedConvolutionWithPostOpNode.h" - -#include "arm_compute/core/Utils.h" -#include "arm_compute/graph/Graph.h" -#include "arm_compute/graph/INodeVisitor.h" -#include "arm_compute/graph/Utils.h" - -namespace arm_compute -{ -namespace graph -{ -FusedConvolutionWithPostOpNode::FusedConvolutionWithPostOpNode(PadStrideInfo info, - unsigned int num_groups, - ConvolutionMethod method, - FastMathHint fast_math_hint, - QuantizationInfo out_quant_info) - : _info(std::move(info)), _num_groups(num_groups), _method(method), _fast_math_hint(fast_math_hint), _out_quant_info(std::move(out_quant_info)), _fused_activation() -{ - _input_edges.resize(4, EmptyEdgeID); - _outputs.resize(1, NullTensorID); -} - -void FusedConvolutionWithPostOpNode::set_convolution_method(ConvolutionMethod method) -{ - _method = method; -} - -ConvolutionMethod FusedConvolutionWithPostOpNode::convolution_method() const -{ - return _method; -} - -void FusedConvolutionWithPostOpNode::set_fast_math_hint(FastMathHint hint) -{ - _fast_math_hint = hint; -} - -FastMathHint FusedConvolutionWithPostOpNode::fast_math_hint() const -{ - return _fast_math_hint; -} - -PadStrideInfo FusedConvolutionWithPostOpNode::convolution_info() const -{ - return _info; -} - -unsigned int FusedConvolutionWithPostOpNode::num_groups() const -{ - return _num_groups; -} - -ActivationLayerInfo FusedConvolutionWithPostOpNode::fused_activation() const -{ - return _fused_activation; -} - -void FusedConvolutionWithPostOpNode::set_fused_activation(ActivationLayerInfo fused_activation) -{ - _fused_activation = fused_activation; -} - -void FusedConvolutionWithPostOpNode::set_convolution_info(PadStrideInfo info) -{ - _info = info; -} - -TensorDescriptor FusedConvolutionWithPostOpNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, - const TensorDescriptor &weights_descriptor, - const PadStrideInfo &info) -{ - unsigned int output_width = 0; - unsigned int output_height = 0; - - const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH); - const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT); - const unsigned int kernel_width = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH); - const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT); - - std::tie(output_width, output_height) = scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info); - - const DataLayout data_layout = input_descriptor.layout; - TensorDescriptor output_descriptor = input_descriptor; - output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), output_width); - output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), output_height); - output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), weights_descriptor.shape[3]); - - return output_descriptor; -} - -bool FusedConvolutionWithPostOpNode::forward_descriptors() -{ - if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID)) - { - Tensor *dst = output(0); - ARM_COMPUTE_ERROR_ON(dst == nullptr); - dst->desc() = configure_output(0); - return true; - } - return false; -} - -TensorDescriptor FusedConvolutionWithPostOpNode::configure_output(size_t idx) const -{ - ARM_COMPUTE_UNUSED(idx); - const Tensor *src = input(0); - const Tensor *weights = input(1); - - ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr); - - TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), _info); - if(!_out_quant_info.empty()) - { - output_info.quant_info = _out_quant_info; - } - - return output_info; -} - -NodeType FusedConvolutionWithPostOpNode::type() const -{ - return FusedConvolutionWithPostOpNode::node_type; -} - -void FusedConvolutionWithPostOpNode::accept(INodeVisitor &v) -{ - v.visit(*this); -} -} // namespace graph -} // namespace arm_compute |