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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-05-08 17:23:52 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:51:17 +0000 |
| commit | d24af8a3e8f7cbd38fd3142056241c0c9f63e46a (patch) | |
| tree | a6d90561bbc1b976708d120a576bf222059dd36b /arm_compute | |
| parent | 932b561159cd6a8c9230bbd0343790c85755846e (diff) | |
| download | ComputeLibrary-d24af8a3e8f7cbd38fd3142056241c0c9f63e46a.tar.gz | |
COMPMID-1125: Add support for FP16 in CLDepthwiseConvolution
Change-Id: I4838f5a8e4c33ed646cd05e0bb682fca635a29a3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/130469
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Diffstat (limited to 'arm_compute')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h | 2 | ||||
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h | 2 | ||||
| -rw-r--r-- | arm_compute/core/CL/kernels/CLFillBorderKernel.h | 4 |
3 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h index b8343da50a..3f3e36100a 100644 --- a/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h +++ b/arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h @@ -51,7 +51,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 * @param[out] output The output tensor. First 3 lower dimensions represent a transform of each 3D input, * while every dimension above 3 represents a batch. Data types supported: Same as @p input * @param[in] kernel_dims The kernel dimensions (width and height). diff --git a/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h index c8d1e2f1ad..1c1eaca474 100644 --- a/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h +++ b/arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h @@ -51,7 +51,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM]. - * Data type supported: QASYMM8/F32. + * Data type supported: QASYMM8/F16/F32. * @param[out] output The output tensor. Data type supported: same as @p input. * @param[in] biases (Optional) The input biases to add. Shape [IFM]. Data type supported: same as @p input. */ diff --git a/arm_compute/core/CL/kernels/CLFillBorderKernel.h b/arm_compute/core/CL/kernels/CLFillBorderKernel.h index dc57978ae1..18031c7e7e 100644 --- a/arm_compute/core/CL/kernels/CLFillBorderKernel.h +++ b/arm_compute/core/CL/kernels/CLFillBorderKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016, 2017 ARM Limited. + * Copyright (c) 2016-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -51,7 +51,7 @@ public: /** Initialise the kernel's input, output and border mode. * - * @param[in,out] tensor Tensor to process Data types supported: U8/QS8/S16/QS16/S32/F32. + * @param[in,out] tensor Tensor to process Data types supported: U8/QS8/S16/QS16/S32/F16/F32. * @param[in] border_size Size of the border to fill in elements. * @param[in] border_mode Border mode to use for the convolution. * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. |