| /* |
| * Copyright (c) 2019 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/FusedConvolutionBatchNormalizationNode.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 |
| { |
| FusedConvolutionBatchNormalizationNode::FusedConvolutionBatchNormalizationNode(float epsilon, PadStrideInfo info, |
| unsigned int num_groups, |
| ConvolutionMethod method, |
| FastMathHint fast_math_hint, |
| ActivationLayerInfo fused_activation) |
| : _epsilon(epsilon), _info(std::move(info)), _num_groups(num_groups), _method(method), _fast_math_hint(fast_math_hint), _fused_activation(fused_activation) |
| { |
| _input_edges.resize(7, EmptyEdgeID); |
| _outputs.resize(1, NullTensorID); |
| } |
| |
| void FusedConvolutionBatchNormalizationNode::set_convolution_method(ConvolutionMethod method) |
| { |
| _method = method; |
| } |
| |
| float FusedConvolutionBatchNormalizationNode::epsilon() const |
| { |
| return _epsilon; |
| } |
| |
| ConvolutionMethod FusedConvolutionBatchNormalizationNode::convolution_method() const |
| { |
| return _method; |
| } |
| |
| void FusedConvolutionBatchNormalizationNode::set_fast_math_hint(FastMathHint hint) |
| { |
| _fast_math_hint = hint; |
| } |
| |
| FastMathHint FusedConvolutionBatchNormalizationNode::fast_math_hint() const |
| { |
| return _fast_math_hint; |
| } |
| |
| PadStrideInfo FusedConvolutionBatchNormalizationNode::convolution_info() const |
| { |
| return _info; |
| } |
| |
| unsigned int FusedConvolutionBatchNormalizationNode::num_groups() const |
| { |
| return _num_groups; |
| } |
| |
| ActivationLayerInfo FusedConvolutionBatchNormalizationNode::fused_activation() const |
| { |
| return _fused_activation; |
| } |
| |
| void FusedConvolutionBatchNormalizationNode::set_fused_activation(ActivationLayerInfo fused_activation) |
| { |
| _fused_activation = fused_activation; |
| } |
| |
| TensorDescriptor FusedConvolutionBatchNormalizationNode::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 FusedConvolutionBatchNormalizationNode::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 FusedConvolutionBatchNormalizationNode::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); |
| |
| return output_info; |
| } |
| |
| NodeType FusedConvolutionBatchNormalizationNode::type() const |
| { |
| return FusedConvolutionBatchNormalizationNode::node_type; |
| } |
| |
| void FusedConvolutionBatchNormalizationNode::accept(INodeVisitor &v) |
| { |
| v.visit(*this); |
| } |
| } // namespace graph |
| } // namespace arm_compute |