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authorGiorgio Arena <giorgio.arena@arm.com>2017-12-21 19:50:06 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:43:42 +0000
commita66eaa2a374a50b798159d95431c946fdda22a24 (patch)
tree8d321b8280d9151890d161da3779438c50e05fb1 /src/graph/nodes/DepthwiseConvolutionLayer.cpp
parent621965e3e9ef301d2668c60702f5fb79daea8d26 (diff)
downloadComputeLibrary-a66eaa2a374a50b798159d95431c946fdda22a24.tar.gz
COMPMID-752 Creating an example for QASYMM8 MobileNet
Change-Id: Ic76b3b6adaff8c84ba4d2ca5283d9291c69344f0 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/114466 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/graph/nodes/DepthwiseConvolutionLayer.cpp')
-rw-r--r--src/graph/nodes/DepthwiseConvolutionLayer.cpp9
1 files changed, 6 insertions, 3 deletions
diff --git a/src/graph/nodes/DepthwiseConvolutionLayer.cpp b/src/graph/nodes/DepthwiseConvolutionLayer.cpp
index b4598538c1..1209d0376e 100644
--- a/src/graph/nodes/DepthwiseConvolutionLayer.cpp
+++ b/src/graph/nodes/DepthwiseConvolutionLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -43,11 +43,14 @@ std::unique_ptr<arm_compute::IFunction> DepthwiseConvolutionLayer::instantiate_n
TensorShape shape = in->info()->tensor_shape();
shape.set(Window::DimX, _conv_width);
shape.set(Window::DimY, _conv_height);
- _weights.set_info(TensorInfo(TensorShape(shape), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position()));
+ TensorInfo info = TensorInfo(TensorShape(shape), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position());
+ info.set_quantization_info(_quant_info);
+ _weights.set_info(std::move(info));
}
if(_biases.has_accessor() && _biases.tensor() == nullptr)
{
- _biases.set_info(TensorInfo(TensorShape(in->info()->dimension(2)), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position()));
+ DataType dt = in->info()->data_type();
+ _biases.set_info(TensorInfo(TensorShape(in->info()->dimension(2)), in->info()->num_channels(), is_data_type_quantized_asymmetric(dt) ? DataType::S32 : dt, in->info()->fixed_point_position()));
}
bool weights_is_loaded = _weights.tensor() != nullptr;