Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame^] | 2 | * Copyright (c) 2017-2020 Arm Limited. |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H |
| 25 | #define ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 26 | |
| 27 | #include "arm_compute/core/CL/ICLKernel.h" |
| 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | class ICLTensor; |
| 32 | |
| 33 | /** Interface for the kernel to run a 3x3 depthwise convolution on a tensor. |
| 34 | */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 35 | class ICLDepthwiseConvolutionLayer3x3Kernel : public ICLKernel |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 36 | { |
| 37 | public: |
| 38 | /** Default constructor */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 39 | ICLDepthwiseConvolutionLayer3x3Kernel() |
Michele Di Giorgio | df4cf57 | 2019-10-09 15:32:39 +0100 | [diff] [blame] | 40 | : _border_size(0), _input(), _output(), _weights(), _biases(), _conv_stride_y(1), _output_multipliers(), _output_shifts(), _is_quantized(false) |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 41 | { |
| 42 | } |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 43 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 44 | ICLDepthwiseConvolutionLayer3x3Kernel(const ICLDepthwiseConvolutionLayer3x3Kernel &) = delete; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 45 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 46 | ICLDepthwiseConvolutionLayer3x3Kernel &operator=(const ICLDepthwiseConvolutionLayer3x3Kernel &) = delete; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 47 | /** Default Move Constructor. */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 48 | ICLDepthwiseConvolutionLayer3x3Kernel(ICLDepthwiseConvolutionLayer3x3Kernel &&) = default; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 49 | /** Default move assignment operator */ |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 50 | ICLDepthwiseConvolutionLayer3x3Kernel &operator=(ICLDepthwiseConvolutionLayer3x3Kernel &&) = default; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 51 | /** Initialize the function's source, destination, conv and border_size. |
| 52 | * |
Michele Di Giorgio | df4cf57 | 2019-10-09 15:32:39 +0100 | [diff] [blame] | 53 | * @param[in] input Source tensor. DataType supported: QASYMM8/F16/F32. |
| 54 | * @param[in] weights Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. |
| 55 | * Data type supported: Same as @p input, QASYMM8/QSYMM8_PER_CHANNEL when input is QASYMM8. |
| 56 | * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. |
| 57 | * Data type supported: Same as @p input, S32 when input is QASYMM8. |
| 58 | * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| 59 | * @param[in] conv_info Padding and stride information to use for the convolution. |
| 60 | * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| 61 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported for QASYMM8. |
| 62 | * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| 63 | * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, |
| 64 | * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| 65 | * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, |
| 66 | * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 67 | */ |
Michele Di Giorgio | df4cf57 | 2019-10-09 15:32:39 +0100 | [diff] [blame] | 68 | virtual void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, |
| 69 | unsigned int depth_multiplier = 1, ActivationLayerInfo act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U), |
| 70 | const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr) = 0; |
Manuel Bottini | 4c6bd51 | 2020-04-08 10:15:51 +0100 | [diff] [blame] | 71 | /** Initialize the function's source, destination, conv and border_size. |
| 72 | * |
| 73 | * @param[in] compile_context The compile context to be used. |
| 74 | * @param[in] input Source tensor. DataType supported: QASYMM8/F16/F32. |
| 75 | * @param[in] weights Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. |
| 76 | * Data type supported: Same as @p input, QASYMM8/QSYMM8_PER_CHANNEL when input is QASYMM8. |
| 77 | * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. |
| 78 | * Data type supported: Same as @p input, S32 when input is QASYMM8. |
| 79 | * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| 80 | * @param[in] conv_info Padding and stride information to use for the convolution. |
| 81 | * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| 82 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported for QASYMM8. |
| 83 | * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| 84 | * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, |
| 85 | * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| 86 | * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, |
| 87 | * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| 88 | */ |
Manuel Bottini | 256c0b9 | 2020-04-21 13:29:30 +0100 | [diff] [blame] | 89 | virtual void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, |
Manuel Bottini | 4c6bd51 | 2020-04-08 10:15:51 +0100 | [diff] [blame] | 90 | unsigned int depth_multiplier = 1, ActivationLayerInfo act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U), |
| 91 | const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr) = 0; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 92 | |
Giorgio Arena | dfca60b | 2018-01-31 10:30:59 +0000 | [diff] [blame] | 93 | protected: |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 94 | BorderSize _border_size; |
| 95 | const ICLTensor *_input; |
| 96 | ICLTensor *_output; |
| 97 | const ICLTensor *_weights; |
Georgios Pinitas | 81a26ad | 2017-10-23 20:29:30 +0100 | [diff] [blame] | 98 | const ICLTensor *_biases; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 99 | unsigned int _conv_stride_y; |
Michele Di Giorgio | df4cf57 | 2019-10-09 15:32:39 +0100 | [diff] [blame] | 100 | const ICLTensor *_output_multipliers; |
| 101 | const ICLTensor *_output_shifts; |
| 102 | bool _is_quantized; |
Giorgio Arena | 93a690e | 2017-08-01 16:09:33 +0100 | [diff] [blame] | 103 | }; |
Gian Marco Iodice | f670a0a | 2017-09-18 12:20:45 +0100 | [diff] [blame] | 104 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 105 | #endif /*ARM_COMPUTE_ICLDEPTHWISECONVOLUTIONKERNEL3x3_H */ |