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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-10-09 15:32:39 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-10-30 14:44:46 +0000 |
commit | df4cf57c7394265b27d051cb1cf0152c53659126 (patch) | |
tree | 87da5d6abeff65b2cee55b63f73bb268776af560 /arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h | |
parent | 8b72199f25487040713d1668c998fdde3707413c (diff) | |
download | ComputeLibrary-df4cf57c7394265b27d051cb1cf0152c53659126.tar.gz |
COMPMID-2306: CLDepthwiseConvolution: support for QUANT8_PER_CHANNEL_SYMM
Change-Id: I18c886400daa2dcba0b91011bc4e503d807a4732
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2143
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h | 33 |
1 files changed, 19 insertions, 14 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h index 8fe9644963..efe9cdfbf0 100644 --- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h @@ -56,9 +56,10 @@ public: * * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32 * @param[out] output Destination tensor. Data type supported: same as @p input. - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. * @param[in] act_info (Optional) Activation layer information in case of a fused activation. @@ -71,9 +72,10 @@ public: * * @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32 * @param[in] output Destination tensor. Data type supported: same as @p input. - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. * @param[in] act_info (Optional) Activation layer information in case of a fused activation. @@ -92,9 +94,10 @@ private: /** Static function to choose the best depthwise convolution function for @ref NEDepthwiseConvolutionLayer * * @param[in] input Source tensor info. Data type supported: QASYMM8/F16/F32 - * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8. * @param[in] biases Biases tensor info. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -136,7 +139,7 @@ private: * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[out] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -151,7 +154,7 @@ private: * @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -173,7 +176,7 @@ private: * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[out] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -188,7 +191,7 @@ private: * @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[out] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -246,7 +249,8 @@ private: * * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[out] output Destination tensor. Data type supported: same as @p input. - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] conv_info Padding and stride information to use for the convolution. @@ -261,7 +265,8 @@ private: * * @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] output Destination tensor. Data type supported: same as @p input. - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. + * Data type supported: Same as @p input or QASYMM8/QSYMM8_PER_CHANNEL when @p input is QASYMM8. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] conv_info Padding and stride information to use for the convolution. @@ -328,7 +333,7 @@ public: * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [W, H, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[out] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. @@ -344,7 +349,7 @@ public: * @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). * @param[in] weights Weights tensor. These are 3D tensors with shape [W, H, IFM]. Data type supported: Same as @p input. * @param[in] biases Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. + * Data type supported: Same as @p input, S32 when input is QASYMM8. * @param[in] output Destination tensor. Data type supported: same as @p input. * @param[in] conv_info Padding and stride information to use for the convolution. * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |