| /* |
| * Copyright (c) 2016-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "helpers.h" |
| |
| #define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| #define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE) |
| |
| // RELU Activation |
| inline TYPE relu_op(TYPE x) |
| { |
| return max((TYPE)CONST_0, x); |
| } |
| // Bounded RELU Activation |
| inline TYPE brelu_op(TYPE x) |
| { |
| return min((TYPE)A_VAL, max(CONST_0, x)); |
| } |
| // Lower Upper Bounded RELU Activation |
| inline TYPE lu_brelu_op(TYPE x) |
| { |
| return min(max(x, (TYPE)B_VAL), (TYPE)A_VAL); |
| } |
| |
| #define ACTIVATION_OP2(op, x) op##_op(x) |
| #define ACTIVATION_OP(op, x) ACTIVATION_OP2(op, x) |
| |
| #if defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL) |
| #define PERFORM_ACTIVATION_QA8(act, data) \ |
| ({ \ |
| data = ACTIVATION_OP(act, data); \ |
| \ |
| VEC_DATA_TYPE(float, VEC_SIZE) \ |
| fdata = CONVERT(data, VEC_DATA_TYPE(float, VEC_SIZE)); \ |
| \ |
| fdata = round((fdata - (float)O1_VAL) * ((float)S1_VAL / (float)S2_VAL) + (float)O2_VAL); \ |
| data = CONVERT_SAT(fdata, VEC_DATA_TYPE(uchar, VEC_SIZE)); \ |
| }) |
| #else /* defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL) */ |
| #define PERFORM_ACTIVATION_QA8(act, data) \ |
| ({ \ |
| data = ACTIVATION_OP(act, data); \ |
| }) |
| #endif /* defined(O1_VAL) && defined(O2_VAL) && defined(S1_VAL) && defined(S2_VAL) */ |
| |
| #if defined(ACT) |
| |
| /** This performs an activation function on QASYMM8 inputs. |
| * |
| * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 |
| * @note Activation function should be given as a preprocessor argument using -DACT=name. e.g. -DACT=TANH |
| * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively. |
| * @note Quantization scales of the input/output tensors are passed in with -DS1_VAL= and -DS2_VAL= respectively. |
| * @note Quantization offsets of the input/output tensors are passed in with -DO1_VAL= and -DO2_VAL= respectively. |
| * @note Quantized value of constant zero should be given as a preprocessor argument using -DCONST_0=value. e.g. -DCONST_0=128. |
| * |
| * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8 |
| * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) |
| * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) |
| * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image |
| * @param[out] output_ptr (Optional) Pointer to the destination image. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x (Optional) Stride of the destination image in X dimension (in bytes) |
| * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y (Optional) Stride of the destination image in Y dimension (in bytes) |
| * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination image |
| */ |
| __kernel void activation_layer_qa8( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get pixels pointer |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); |
| #endif /* IN_PLACE */ |
| |
| // Load data |
| TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); |
| |
| data = PERFORM_ACTIVATION_QA8(ACT, data); |
| |
| // Store result |
| VSTORE(VEC_SIZE) |
| (data, 0, (__global DATA_TYPE *)output.ptr); |
| } |
| |
| #endif /* defined(ACT) */ |
| |
| #if defined(O2_VAL) && defined(S2_VAL) |
| #define OFFSET_OUT O2_VAL |
| #define SCALE_OUT S2_VAL |
| #else // defined(O2_VAL) && defined(S2_VAL) |
| #define OFFSET_OUT O1_VAL |
| #define SCALE_OUT S1_VAL |
| #endif // defined(O2_VAL) && defined(S2_VAL) |
| |
| /** This performs a Logistic activation function on QASYMM8 inputs. |
| * |
| * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short |
| * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 |
| * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively. |
| * @note Quantization scales of the input/output tensors are passed in with -DS1_VAL= and -DS2_VAL= respectively. |
| * @note Quantization offsets of the input/output tensors are passed in with -DO1_VAL= and -DO2_VAL= respectively. |
| * @note Quantized value of constant zero should be given as a preprocessor argument using -DCONST_0=value. e.g. -DCONST_0=128. |
| * |
| * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8 |
| * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) |
| * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) |
| * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image |
| * @param[out] output_ptr (Optional) Pointer to the destination image. Supported data types: same as @p input_ptr |
| * @param[in] output_stride_x (Optional) Stride of the destination image in X dimension (in bytes) |
| * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y (Optional) Stride of the destination image in Y dimension (in bytes) |
| * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination image |
| */ |
| __kernel void activation_layer_logistic_qa8( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get pixels pointer |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); |
| #endif /* IN_PLACE */ |
| |
| // Load data |
| TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); |
| |
| VEC_FLOAT data_flt = CONVERT(data, VEC_FLOAT); |
| data_flt = round(data_flt - (float)O1_VAL) * ((float)S1_VAL); |
| data_flt = 1.f / (1.f + exp(-data_flt)); |
| |
| data = CONVERT_SAT(round(data_flt / ((float)SCALE_OUT)) + (float)OFFSET_OUT, TYPE); |
| |
| // Store result |
| VSTORE(VEC_SIZE) |
| (data, 0, (__global DATA_TYPE *)output.ptr); |
| } |
