diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEIm2Col.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEIm2Col.h | 44 |
1 files changed, 20 insertions, 24 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEIm2Col.h b/arm_compute/runtime/NEON/functions/NEIm2Col.h index 9df4f070d8..de4780f8f0 100644 --- a/arm_compute/runtime/NEON/functions/NEIm2Col.h +++ b/arm_compute/runtime/NEON/functions/NEIm2Col.h @@ -42,38 +42,34 @@ public: NEIm2Col(); /** Configure the im2col NEON 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: 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution - * @param[in] is_fully_connected (Optional) Determines whether this function will be called by @ref NEFullyConnectedLayer in order to validate the arguments - * @param[in] is_flatten (Optional) Determines whether this function will be called by @ref NEFlattenLayer in order to validate the arguments + * @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: 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). + * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution */ void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U), - unsigned int num_groups = 1, bool is_fully_connected = false, bool is_flatten = false); + unsigned int num_groups = 1); /** Static function to check if given info will lead to a valid configuration of @ref NEIm2Col * - * @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: 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution - * @param[in] is_fully_connected (Optional) Determines whether this function will be called by @ref NEFullyConnectedLayer in order to validate the arguments - * @param[in] is_flatten (Optional) Determines whether this function will be called by @ref NEFlattenLayer in order to validate the arguments + * @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: 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). + * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U), - unsigned int num_groups = 1, bool is_fully_connected = false, bool is_flatten = false); + unsigned int num_groups = 1); // Inherited methods overridden: void run() override; |