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| author | Pablo Tello <pablo.tello@arm.com> | 2019-02-07 15:53:19 +0000 |
|---|---|---|
| committer | Pablo Marquez <pablo.tello@arm.com> | 2019-02-13 14:44:13 +0000 |
| commit | eb6c88ae253f1a6555a741d6e5a04033a95486a7 (patch) | |
| tree | e5620b35262b81cce1175c014a4925665c4f2621 /src/runtime/CL | |
| parent | 84bed5d90a39df0ad566ecea6c8091ec44d038c6 (diff) | |
| download | ComputeLibrary-eb6c88ae253f1a6555a741d6e5a04033a95486a7.tar.gz | |
COMPMID-1918: Different qinfos support in CLConcatLayer
Added support in CLDepthConcatenateLayerKernel and CLWidthConcatenateLayer for different
quantization arguments both for the input and output. If input's quantization infos are not
homogeneous the input values are requantized using the output's quantization info.
Change-Id: Ib5446d0c6790c2fe6e7172e87e4f2833247436db
Signed-off-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/650
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'src/runtime/CL')
| -rw-r--r-- | src/runtime/CL/functions/CLWidthConcatenateLayer.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp b/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp index 46a2d80d10..d0801a6768 100644 --- a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp +++ b/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -50,8 +50,8 @@ Status CLWidthConcatenateLayer::validate(const std::vector<ITensorInfo *> &input ARM_COMPUTE_RETURN_ERROR_ON(num_inputs < 2); // Output auto inizialitation if not yet initialized - TensorInfo tmp_output_info = *output->clone(); - TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_width_concatenate_shape(inputs_vector); + TensorInfo tmp_output_info = *output->clone(); + const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_width_concatenate_shape(inputs_vector); auto_init_if_empty(tmp_output_info, output_shape, 1, inputs_vector[0]->data_type()); switch(num_inputs) @@ -90,7 +90,7 @@ void CLWidthConcatenateLayer::configure(std::vector<ICLTensor *> inputs_vector, { inputs_vector_info.emplace_back(inputs_vector.at(i)->info()); } - TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_width_concatenate_shape(inputs_vector); + const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_width_concatenate_shape(inputs_vector); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type()); |