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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-21 16:08:53 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-22 14:10:42 +0000 |
commit | 679fc96d8c1f8ce2a880f94a9b592f94bc472241 (patch) | |
tree | 8e7a61b072a5bb69fa809c9642bc463761cc1653 /arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h | |
parent | 9230e2789e421021804bc3a65cf47df4749b0765 (diff) | |
download | ComputeLibrary-679fc96d8c1f8ce2a880f94a9b592f94bc472241.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part1 - Fix2
- const fix in the CLKernels part 2
Change-Id: Ia12845e291b4137cbaf76eb8438e381c4fd0368a
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3071
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h index 037ec4d116..df2f6f4ad1 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h @@ -56,7 +56,7 @@ public: * @param[in, out] accum The accumulate tensor to convert. Data types supported: F16/F32 * @param[in] biases The shared biases tensor to append. It must be 1D tensor. Data types supported: Same as @p input */ - void configure(CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases); + void configure(const CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixAccumulateBiasesKernel * * @param[in] accum The accumulate tensor to convert. Data types supported: F16/F32 |