aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h
diff options
context:
space:
mode:
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h12
1 files changed, 8 insertions, 4 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h
index a0205f1ea6..6db1a767d8 100644
--- a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h
+++ b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h
@@ -58,8 +58,10 @@ public:
* @note Supported data layouts: NHWC
*
* @param[in] input Source tensor. DataType supported: QASYMM8/F16/F32.
- * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H]. Data type supported: Same as @p input.
- * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as @p input.
+ * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H].
+ * 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 dimensions [IFM]. Must be nullptr if not needed.
+ * 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.
@@ -73,8 +75,10 @@ public:
* @note Supported data layouts: NHWC
*
* @param[in] input Source tensor info. DataType supported: QASYMM8/F16/F32.
- * @param[in] weights Weights tensor info. This is a 3D tensor with dimensions [IFM, W, H]. Data type supported: Same as @p input.
- * @param[in] biases Biases tensor info. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as @p input.
+ * @param[in] weights Weights tensor info. This is a 3D tensor with dimensions [IFM, W, H].
+ * 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 dimensions [IFM]. Must be nullptr if not needed.
+ * Data type supported: Same as @p input, S32 when input is QASYMM8.
* @param[in] output Destination tensor info. 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.