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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-08-31 16:10:16 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 71ecf396bb08e302dc06b2c7ed44001894d3a2ea (patch) | |
| tree | 41a0143c3acd77c9c995c7d97ade143e49719392 /arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h | |
| parent | 553b999ccc4233b163377e0a55e2377614899a3e (diff) | |
| download | ComputeLibrary-71ecf396bb08e302dc06b2c7ed44001894d3a2ea.tar.gz | |
COMPMID-1266 : support for FP16 in CLWinogradConvolutionLayer
Added support for FP16 in CLWinogradConvolutionLayer: 5x5 kernels and 3x3 kernels(COMPMID-937)
Change-Id: I0f394cbdc978dd04176416e9f612aca3986b09e6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145537
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h index bab93de4b0..3bbbb5834c 100644 --- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h @@ -59,7 +59,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo @@ -78,7 +78,7 @@ public: * * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo |