diff options
Diffstat (limited to 'arm_compute/runtime')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h | 8 | ||||
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h | 4 |
2 files changed, 6 insertions, 6 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h index 7cf5f64115..7c35c2a4af 100644 --- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h +++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h @@ -52,13 +52,13 @@ public: /** Initialize the function's source, destination, conv and border_size. * * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). - * @param[out] output Destination tensor. Data type supported: same as @p input. * @param[in] weights Weights tensor. A 3D tensor with shape [3, 3, IFM]. Data type supported: Same as @p input. * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p input. + * @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. */ - void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info); + void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info); // Inherited methods overriden: void run() override; @@ -84,13 +84,13 @@ public: /** Initialize the function's source, destination, weights and convolution information. * * @param[in, out] input Source tensor. Data type supported: 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] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p input. + * @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. */ - void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info); + void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info); // Inherited methods overriden: void run() override; diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h index f1eae9a96e..acf66f8dd4 100644 --- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h @@ -51,13 +51,13 @@ public: /** Initialize the function's source, destination, kernels and border_size. * * @param[in, out] input Source tensor. Data type supported: 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 [3, 3, IFM]. Data type supported: Same as @p input. * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p input. + * @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. */ - void configure(ITensor *input, ITensor *output, const ITensor *weights, const ITensor *biases, const PadStrideInfo &conv_info); + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); // Inherited methods overriden: void run() override; |