aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp14
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);