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| author | Giorgio Arena <giorgio.arena@arm.com> | 2017-12-21 19:50:06 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:43:42 +0000 |
| commit | a66eaa2a374a50b798159d95431c946fdda22a24 (patch) | |
| tree | 8d321b8280d9151890d161da3779438c50e05fb1 /src/graph/nodes/ConvolutionLayer.cpp | |
| parent | 621965e3e9ef301d2668c60702f5fb79daea8d26 (diff) | |
| download | ComputeLibrary-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/ConvolutionLayer.cpp')
| -rw-r--r-- | src/graph/nodes/ConvolutionLayer.cpp | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/src/graph/nodes/ConvolutionLayer.cpp b/src/graph/nodes/ConvolutionLayer.cpp index ae4a8d7e6b..53d06ea75f 100644 --- a/src/graph/nodes/ConvolutionLayer.cpp +++ b/src/graph/nodes/ConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -184,14 +184,17 @@ std::unique_ptr<arm_compute::IFunction> ConvolutionLayer::instantiate_node(Graph // Set weights and biases info if(_weights.tensor() == nullptr) { - _weights.set_info(TensorInfo(TensorShape(_conv_width, _conv_height, in->info()->dimension(2) / _num_groups, _ofm), + TensorInfo info = TensorInfo(TensorShape(_conv_width, _conv_height, in->info()->dimension(2) / _num_groups, _ofm), in->info()->num_channels(), in->info()->data_type(), - in->info()->fixed_point_position())); + in->info()->fixed_point_position()); + info.set_quantization_info(_weights_quant_info); + _weights.set_info(std::move(info)); } if(_biases.has_accessor() && _biases.tensor() == nullptr) { - _biases.set_info(TensorInfo(TensorShape(_ofm), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); + DataType dt = in->info()->data_type(); + _biases.set_info(TensorInfo(TensorShape(_ofm), in->info()->num_channels(), is_data_type_quantized_asymmetric(dt) ? DataType::S32 : dt, in->info()->fixed_point_position())); } std::unique_ptr<arm_compute::IFunction> func; @@ -213,7 +216,8 @@ std::unique_ptr<arm_compute::IFunction> ConvolutionLayer::instantiate_node(Graph TensorShape output_shape = calculate_convolution_layer_output_shape(in->info()->tensor_shape(), _weights.info().tensor_shape(), _conv_info); // Output auto inizialitation if not yet initialized - arm_compute::auto_init_if_empty(*out->info(), output_shape, 1, in->info()->data_type(), in->info()->fixed_point_position()); + arm_compute::auto_init_if_empty(*out->info(), output_shape, 1, in->info()->data_type(), in->info()->fixed_point_position(), + (_out_quant_info.empty()) ? in->info()->quantization_info() : _out_quant_info); // Create appropriate convolution function if(_num_groups == 1) |