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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-03 13:34:52 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-07 15:25:46 +0000 |
commit | f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d (patch) | |
tree | 382f3ab76355de2ed5114a5e4bfc7e8f7c0422f4 /arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h | |
parent | 0cc50ed757f06f4f076e261cb7253dd67264dec6 (diff) | |
download | ComputeLibrary-f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d.tar.gz |
COMPMID-3532: Align data type support between doxygen and implementation - NEON
Change-Id: I70662cfb43890873b706b3f22b348f5d8cdd63ca
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3506
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h index b68cb50c7b..c6e4053293 100644 --- a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h +++ b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h @@ -76,7 +76,7 @@ public: * * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. - * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/FP16/F32 + * Data types supported: All * @param[in] bias The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. @@ -87,7 +87,7 @@ public: * * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. - * Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32 + * Data types supported: All * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. |