diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEIm2ColKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEIm2ColKernel.h | 38 |
1 files changed, 22 insertions, 16 deletions
diff --git a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h index 6d11fbee11..1659b725bb 100644 --- a/arm_compute/core/NEON/kernels/NEIm2ColKernel.h +++ b/arm_compute/core/NEON/kernels/NEIm2ColKernel.h @@ -76,28 +76,34 @@ public: /** Set the input and output of the kernel. * - * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 - * Note: QASYMM8 works only for has_bias = false - * @param[out] output The output tensor. Data types supported: Same as @p input - * @param[in] kernel_dims The kernel dimensions (width and height). - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] has_bias In case biases are provided expands the matrix with 1. + * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 + * Note: QASYMM8 works only for has_bias = false + * @param[out] output The output tensor. Data types supported: Same as @p input + * @param[in] kernel_dims The kernel dimensions (width and height). + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] has_bias In case biases are provided expands the matrix with 1. + * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_flatten (Optional) Determines whether this kernel will be called by @ref NEFlattenLayer in order to validate the arguments */ - void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); + void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, + bool has_bias, bool is_fully_connected = false, bool is_flatten = false); /** Static function to check if given info will lead to a valid configuration of @ref NEIm2ColKernel * - * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 - * Note: QASYMM8 works only for has_bias = false - * @param[in] output The output tensor. Data types supported: Same as @p input - * @param[in] kernel_dims The kernel dimensions (width and height). - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] has_bias In case biases are provided expands the matrix with 1. + * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 + * Note: QASYMM8 works only for has_bias = false + * @param[in] output The output tensor. Data types supported: Same as @p input + * @param[in] kernel_dims The kernel dimensions (width and height). + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] has_bias In case biases are provided expands the matrix with 1. + * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments + * @param[in] is_flatten (Optional) Determines whether this kernel will be called by @ref NEFlattenLayer in order to validate the arguments * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, + bool has_bias, bool is_fully_connected, bool is_flatten = false); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; |