From 1246b63ca04cb067f26ae860688647224d6ba24e Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Wed, 16 Aug 2017 18:38:32 +0100 Subject: COMPMID-477 - Optimized Direct Convolution 3x3 and 5x5 (f32) for Bifrost. Each work-item computes 4x3 output elements in case of 3x3 convolution and 4x2 in case of 5x5 convolution Change-Id: I6ebbaff8b7e971c1f90d5845c0b58d2a40f39df5 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84345 Reviewed-by: Anthony Barbier Tested-by: Kaizen --- src/runtime/CL/functions/CLDirectConvolutionLayer.cpp | 8 ++++++++ 1 file changed, 8 insertions(+) (limited to 'src/runtime/CL/functions/CLDirectConvolutionLayer.cpp') diff --git a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp index 65be417afb..6fafd9c7f1 100644 --- a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp @@ -38,13 +38,21 @@ CLDirectConvolutionLayer::CLDirectConvolutionLayer() void CLDirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info) { + // Set GPU target + _direct_conv_kernel.set_target(CLScheduler::get().target()); + + // Configure direct convolution _direct_conv_kernel.configure(input, weights, biases, output, conv_info); + // Configure border handler _input_border_handler.configure(input, _direct_conv_kernel.border_size(), BorderMode::CONSTANT, PixelValue(0)); } void CLDirectConvolutionLayer::run() { + // Run border handler CLScheduler::get().enqueue(_input_border_handler, false); + + // Run direct convolution CLScheduler::get().enqueue(_direct_conv_kernel); } -- cgit v1.2.1