From 7657224de2b697a8a92cccf26d98e53ccd7c1a03 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Wed, 4 Apr 2018 17:44:26 +0100 Subject: COMPMID-926 Add depth multiplier support to NEON/CL/GLES depthwise convolution Change-Id: I03f32c62350e5ea43e77bb15fc5a832d83719e3b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/126657 Tested-by: Jenkins Reviewed-by: Michele DiGiorgio Reviewed-by: Georgios Pinitas --- .../CL/functions/CLDepthwiseConvolutionLayer.cpp | 23 +++++++++++++--------- 1 file changed, 14 insertions(+), 9 deletions(-) (limited to 'src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp') diff --git a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp index 0276b37e09..ea2f93b85d 100644 --- a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp @@ -39,7 +39,8 @@ CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3() { } -void CLDepthwiseConvolutionLayer3x3::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, ActivationLayerInfo act_info) +void CLDepthwiseConvolutionLayer3x3::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, + ActivationLayerInfo act_info) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); @@ -54,7 +55,7 @@ void CLDepthwiseConvolutionLayer3x3::configure(ICLTensor *input, const ICLTensor } _kernel->set_target(CLScheduler::get().target()); - _kernel->configure(input, weights, biases, output, conv_info, act_info); + _kernel->configure(input, weights, biases, output, conv_info, depth_multiplier, act_info); // Configure border handler PixelValue &&zero_value(0.f); @@ -77,11 +78,11 @@ CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer() { } -void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info) +void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F32); ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != weights->info()->dimension(2)); + ARM_COMPUTE_ERROR_ON((input->info()->dimension(2) * depth_multiplier) != weights->info()->dimension(2)); const size_t weights_w = weights->info()->dimension(0); const size_t weights_h = weights->info()->dimension(1); @@ -95,11 +96,15 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w const GPUTarget gpu_target = CLScheduler::get().target(); // Calculate output shape - TensorShape dwc_output_shape = shape_calculator::compute_depthwise_convolution_shape(*input->info(), *weights->info(), conv_info); + TensorShape output_shape = shape_calculator::compute_depthwise_convolution_shape(*input->info(), *weights->info(), conv_info, depth_multiplier); + + // Output auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); // Output width and height - const unsigned int conv_w = dwc_output_shape.x(); - const unsigned int conv_h = dwc_output_shape.y(); + const unsigned int conv_w = output_shape.x(); + const unsigned int conv_h = output_shape.y(); // Set up intermediate tensors const size_t patch_size = weights_w * weights_h + ((append_bias) ? 1 : 0); @@ -112,7 +117,7 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w shape_im2col.set(2, weights_z); _input_reshaped.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(shape_im2col)); _im2col_kernel.set_target(gpu_target); - _im2col_kernel.configure(input, &_input_reshaped, Size2D(weights_w, weights_h), conv_info, append_bias); + _im2col_kernel.configure(input, &_input_reshaped, Size2D(weights_w, weights_h), conv_info, append_bias, depth_multiplier); // Weights reshape configuration const TensorShape shape_weights_reshape(patch_size, weights_z); @@ -128,7 +133,7 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w _v2mm_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_data_type(v2mm_dt).set_tensor_shape(shape_v2mm_out)); _v2mm_kernel.set_target(gpu_target); _v2mm_kernel.configure(&_input_reshaped, &_weights_reshaped, &_v2mm_output); - _output_reshaped.allocator()->init(_v2mm_output.info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(dwc_output_shape)); + _output_reshaped.allocator()->init(_v2mm_output.info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(output_shape)); _vector_to_tensor_kernel.configure(&_v2mm_output, (_is_quantized) ? &_output_reshaped : output, conv_w, conv_h); // Output staged configuration -- cgit v1.2.1