diff options
Diffstat (limited to 'src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp')
| -rw-r--r-- | src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp | 40 |
1 files changed, 25 insertions, 15 deletions
diff --git a/src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp b/src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp index c022450b9d..c51641d64c 100644 --- a/src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp +++ b/src/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.cpp @@ -32,18 +32,24 @@ namespace arm_compute { namespace graph { -FusedDepthwiseConvolutionBatchNormalizationNode::FusedDepthwiseConvolutionBatchNormalizationNode(float epsilon, - PadStrideInfo info, - unsigned int depth_multiplier, - DepthwiseConvolutionMethod method, - ActivationLayerInfo fused_activation) - : _epsilon(epsilon), _info(std::move(info)), _depth_multiplier(depth_multiplier), _method(method), _fused_activation(fused_activation) +FusedDepthwiseConvolutionBatchNormalizationNode::FusedDepthwiseConvolutionBatchNormalizationNode( + float epsilon, + PadStrideInfo info, + unsigned int depth_multiplier, + DepthwiseConvolutionMethod method, + ActivationLayerInfo fused_activation) + : _epsilon(epsilon), + _info(std::move(info)), + _depth_multiplier(depth_multiplier), + _method(method), + _fused_activation(fused_activation) { _input_edges.resize(7, EmptyEdgeID); _outputs.resize(1, NullTensorID); } -void FusedDepthwiseConvolutionBatchNormalizationNode::set_depthwise_convolution_method(DepthwiseConvolutionMethod method) +void FusedDepthwiseConvolutionBatchNormalizationNode::set_depthwise_convolution_method( + DepthwiseConvolutionMethod method) { _method = method; } @@ -78,10 +84,11 @@ void FusedDepthwiseConvolutionBatchNormalizationNode::set_fused_activation(Activ _fused_activation = fused_activation; } -TensorDescriptor FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, - const TensorDescriptor &weights_descriptor, - const PadStrideInfo &info, - int depth_multiplier) +TensorDescriptor +FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, + const TensorDescriptor &weights_descriptor, + const PadStrideInfo &info, + int depth_multiplier) { unsigned int output_width = 0; unsigned int output_height = 0; @@ -92,19 +99,22 @@ TensorDescriptor FusedDepthwiseConvolutionBatchNormalizationNode::compute_output 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); + std::tie(output_width, output_height) = + scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info); TensorDescriptor output_descriptor = input_descriptor; output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::WIDTH), output_width); - output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::HEIGHT), output_height); - output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::CHANNEL), input_channels * depth_multiplier); + output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::HEIGHT), + output_height); + output_descriptor.shape.set(get_dimension_idx(output_descriptor.layout, DataLayoutDimension::CHANNEL), + input_channels * depth_multiplier); return output_descriptor; } bool FusedDepthwiseConvolutionBatchNormalizationNode::forward_descriptors() { - if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID)) + if ((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID)) { Tensor *dst = output(0); ARM_COMPUTE_ERROR_ON(dst == nullptr); |