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Diffstat (limited to 'src/cpu/kernels/CpuIm2ColKernel.h')
-rw-r--r--src/cpu/kernels/CpuIm2ColKernel.h44
1 files changed, 23 insertions, 21 deletions
diff --git a/src/cpu/kernels/CpuIm2ColKernel.h b/src/cpu/kernels/CpuIm2ColKernel.h
index 8160310da6..d133f8dc2d 100644
--- a/src/cpu/kernels/CpuIm2ColKernel.h
+++ b/src/cpu/kernels/CpuIm2ColKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -66,19 +66,20 @@ public:
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuIm2ColKernel);
/** Set the input and output of the kernel.
*
- * @param[in] src The input tensor info 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/QASYMM8_SIGNED/BFLOAT16/F16/F32
- * Note: QASYMM8/QASYMM8_SIGNED works only for has_bias = false
- * @param[out] dst The output tensor info. 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. num_groups != 1 is not supported
+ * @param[in] src The input tensor info 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/QASYMM8_SIGNED/BFLOAT16/F16/F32
+ * Note: QASYMM8/QASYMM8_SIGNED works only for has_bias = false
+ * @param[out] dst The output tensor info. 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. num_groups != 1 is not supported
+ * @param[in] input_pad_right (Optional) When fast-math is selected, per element padding for the im2col matrix may be necessary
*/
void configure(const ITensorInfo *src, ITensorInfo *dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info,
- bool has_bias, const Size2D &dilation = Size2D(1U, 1U), unsigned int num_groups = 1);
+ bool has_bias, const Size2D &dilation = Size2D(1U, 1U), unsigned int num_groups = 1, unsigned int input_pad_right = 0);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuIm2ColKernel::configure()
@@ -86,10 +87,10 @@ public:
* @return a status
*/
static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info,
- bool has_bias, const Size2D &dilation = Size2D(1U, 1U), unsigned int num_groups = 1);
+ bool has_bias, const Size2D &dilation = Size2D(1U, 1U), unsigned int num_groups = 1, unsigned int input_pad_right = 0);
// Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
/** Return minimum workload size of the relevant kernel
*
@@ -116,14 +117,15 @@ private:
*/
using Im2ColFunctionPtr = void (CpuIm2ColKernel::*)(const ITensor *src, ITensor *dst, const Window &window);
- Im2ColFunctionPtr _func{ nullptr };
+ Im2ColFunctionPtr _func{ nullptr };
std::pair<unsigned int, unsigned int> _convolved_dims{};
- PadStrideInfo _conv_info{};
- unsigned int _kernel_width{ 0 };
- unsigned int _kernel_height{ 0 };
- bool _has_bias{ false };
- Size2D _dilation{ 1U, 1U };
- DataLayout _data_layout{ DataLayout::UNKNOWN };
+ PadStrideInfo _conv_info{};
+ unsigned int _kernel_width{ 0 };
+ unsigned int _kernel_height{ 0 };
+ unsigned int _input_pad_right{ 0 };
+ bool _has_bias{ false };
+ Size2D _dilation{ 1U, 1U };
+ DataLayout _data_layout{ DataLayout::UNKNOWN };
};
} // namespace kernels
} // namespace cpu