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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-05-21 13:32:43 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-06-03 14:51:29 +0000 |
commit | 4c5469b192665c94118a8a558787cb9cec2d0765 (patch) | |
tree | 168aa969de8243bdbb1f25247dd9f54d037ae32c /src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp | |
parent | 43a129e94df41f9ac8bc78b702da5a387ada0494 (diff) | |
download | ComputeLibrary-4c5469b192665c94118a8a558787cb9cec2d0765.tar.gz |
COMPMID-2225: Add interface support for new quantized data types.
Add support for:
-QSYMM8, 8-bit quantized symmetric
-QSYMM8_PER_CHANNEL, 8-bit quantized symmetric with per channel quantization
Change-Id: I00c4ff98e44af37419470af61419ee95d0de2463
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1236
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp index 97b0a01331..e912740d69 100644 --- a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp @@ -130,7 +130,7 @@ void CLDepthwiseConvolutionLayer3x3::configure(ICLTensor *input, const ICLTensor PixelValue &&zero_value(0.f); if(is_data_type_quantized_asymmetric(input->info()->data_type())) { - zero_value = PixelValue(static_cast<uint8_t>(input->info()->quantization_info().offset)); + zero_value = PixelValue(static_cast<uint8_t>(input->info()->quantization_info().uniform().offset)); } _border_handler.configure(input_to_use, _kernel->border_size(), BorderMode::CONSTANT, zero_value); } @@ -288,6 +288,10 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w const size_t patch_size = weights_w * weights_h + ((append_bias) ? 1 : 0); const size_t conv_size = conv_w * conv_h; + const UniformQuantizationInfo iq_info = input->info()->quantization_info().uniform(); + const UniformQuantizationInfo wq_info = weights->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform(); + // Im2Col configuration TensorShape shape_im2col = input->info()->tensor_shape(); shape_im2col.set(0, patch_size); @@ -319,9 +323,9 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w // Output staged configuration if(_is_quantized) { - const QuantizationInfo output_quant_info = (output->info()->total_size() == 0) ? input->info()->quantization_info() : output->info()->quantization_info(); + const UniformQuantizationInfo output_quant_info = (output->info()->total_size() == 0) ? iq_info : oq_info; - float multiplier = input->info()->quantization_info().scale * weights->info()->quantization_info().scale / output_quant_info.scale; + float multiplier = iq_info.scale * wq_info.scale / output_quant_info.scale; int output_multiplier; int output_shift; quantization::calculate_quantized_multiplier_less_than_one(multiplier, &output_multiplier, &output_shift); @@ -334,8 +338,8 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w PixelValue zero_w(static_cast<int32_t>(0)); if(_is_quantized) { - zero_in = PixelValue(static_cast<int32_t>(input->info()->quantization_info().offset)); - zero_w = PixelValue(static_cast<int32_t>(weights->info()->quantization_info().offset)); + zero_in = PixelValue(static_cast<int32_t>(iq_info.offset)); + zero_w = PixelValue(static_cast<int32_t>(wq_info.offset)); } BorderSize border_size = _v2mm_kernel.border_size(); _v2mm_input_fill_border.configure(&_input_reshaped, border_size, BorderMode::CONSTANT, zero_in); |