| R"( |
| |
| /* |
| * Copyright (c) 2019-2020 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. |
| */ |
| /* |
| * Copyright (c) 2016-2020 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. |
| */ |
| #ifndef ARM_COMPUTE_HELPER_H |
| #define ARM_COMPUTE_HELPER_H |
| |
| #if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(cl_khr_fp16) |
| #pragma OPENCL EXTENSION cl_khr_fp16 : enable |
| #endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(cl_khr_fp16) |
| |
| #if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| #pragma OPENCL EXTENSION cl_arm_integer_dot_product_int8 : enable |
| #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| |
| #if defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| #pragma OPENCL EXTENSION cl_arm_integer_dot_product_accumulate_int8 : enable |
| #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| |
| #if defined(ARM_COMPUTE_DEBUG_ENABLED) && defined(cl_arm_printf) |
| #pragma OPENCL EXTENSION cl_arm_printf : enable |
| #endif // defined(ARM_COMPUTE_DEBUG_ENABLED) && defined(cl_arm_printf) |
| |
| #define GPU_ARCH_MIDGARD 0x100 |
| #define GPU_ARCH_BIFROST 0x200 |
| |
| /** Concatenate two inputs. |
| * |
| * @param[in] a The first input to be concatenated |
| * @param[in] b The second input to be concatenated |
| * |
| * @return The concatenated output |
| */ |
| #define CONCAT(a, b) a##b |
| |
| /** Expand the given vector |
| * |
| * @param[in] x The vector to be expanded |
| * |
| * @return The expanded output |
| */ |
| #define EXPAND(x) x |
| |
| /** Clamp the given value between an upper and lower bound. |
| * |
| * @param[in] x The value to be clamped |
| * @param[in] min_val The lower bound |
| * @param[in] max_val The upper bound |
| * |
| * @return The clamped value. |
| */ |
| #define CLAMP(x, min_val, max_val) min(max(x, min_val), max_val) |
| |
| /** REVn reverses the given vector whose size is n. |
| * @name REVn |
| * |
| * @param[in] x The vector to be reversed |
| * |
| * @return The reversed vector |
| * @{ |
| */ |
| #define REV1(x) ((x)) |
| #define REV2(x) ((x).s10) |
| #define REV3(x) ((x).s210) |
| #define REV4(x) ((x).s3210) |
| #define REV8(x) ((x).s76543210) |
| #define REV16(x) ((x).sFEDCBA9876543210) |
| /** @} */ // end of group REVn |
| |
| /** Reverse the given vector. |
| * @name REVERSE |
| * |
| * @param[in] x The vector to be reversed |
| * @param[in] s The size of the vector |
| * |
| * @return The reversed vector |
| * @{ |
| */ |
| #define REVERSE_STR(x, s) REV##s((x)) |
| #define REVERSE(x, s) REVERSE_STR(x, s) |
| /** @} */ // end of group REVERSE |
| |
| /** Circular-right-shift (rotate-right) the vector of size s by the amount of n. |
| * @name ROTs_n |
| * |
| * @param[in] x The vector to be shifted |
| * |
| * @return The shifted vector |
| * @{ |
| */ |
| #define ROT1_0(x) ((x)) |
| |
| #define ROT2_0(x) ((x)) |
| #define ROT2_1(x) ((x).s10) |
| |
| #define ROT3_0(x) ((x)) |
| #define ROT3_1(x) ((x).s201) |
| #define ROT3_2(x) ((x).s120) |
| |
| #define ROT4_0(x) ((x)) |
| #define ROT4_1(x) ((x).s3012) |
| #define ROT4_2(x) ((x).s2301) |
| #define ROT4_3(x) ((x).s1230) |
| |
| #define ROT8_0(x) ((x)) |
| #define ROT8_1(x) ((x).s70123456) |
| #define ROT8_2(x) ((x).s67012345) |
| #define ROT8_3(x) ((x).s56701234) |
| #define ROT8_4(x) ((x).s45670123) |
| #define ROT8_5(x) ((x).s34567012) |
| #define ROT8_6(x) ((x).s23456701) |
| #define ROT8_7(x) ((x).s12345670) |
| |
| #define ROT16_0(x) ((x)) |
| #define ROT16_1(x) ((x).sF0123456789ABCDE) |
| #define ROT16_2(x) ((x).sEF0123456789ABCD) |
| #define ROT16_3(x) ((x).sDEF0123456789ABC) |
| #define ROT16_4(x) ((x).sCDEF0123456789AB) |
| #define ROT16_5(x) ((x).sBCDEF0123456789A) |
| #define ROT16_6(x) ((x).sABCDEF0123456789) |
| #define ROT16_7(x) ((x).s9ABCDEF012345678) |
| #define ROT16_8(x) ((x).s89ABCDEF01234567) |
| #define ROT16_9(x) ((x).s789ABCDEF0123456) |
| #define ROT16_10(x) ((x).s6789ABCDEF012345) |
| #define ROT16_11(x) ((x).s56789ABCDEF01234) |
| #define ROT16_12(x) ((x).s456789ABCDEF0123) |
| #define ROT16_13(x) ((x).s3456789ABCDEF012) |
| #define ROT16_14(x) ((x).s23456789ABCDEF01) |
| #define ROT16_15(x) ((x).s123456789ABCDEF0) |
| /** @} */ // end of group ROTs_n |
| |
| /** Circular-right-shift (rotate-right) the given vector by the given amount. |
| * @name ROTATE |
| * |
| * @param[in] x The vector to be shifted |
| * @param[in] s The size of the vector |
| * @param[in] n The amount to be shifted |
| * |
| * @return The shifted vector |
| * @{ |
| */ |
| #define ROTATE_STR(x, s, n) ROT##s##_##n(x) |
| #define ROTATE(x, s, n) ROTATE_STR(x, s, n) |
| /** @} */ // end of group ROTATE |
| |
| /** Creates a vector of size n filled with offset values corresponding to the location of each element. |
| * @name V_OFFSn |
| * |
| * @param[in] dt The data type of the output vector |
| * |
| * @return The vector filled with offset values |
| * @{ |
| */ |
| #define V_OFFS1(dt) (dt)(0) |
| #define V_OFFS2(dt) (dt)(0, 1) |
| #define V_OFFS3(dt) (dt)(0, 1, 3) |
| #define V_OFFS4(dt) (dt)(0, 1, 2, 3) |
| #define V_OFFS8(dt) (dt)(0, 1, 2, 3, 4, 5, 6, 7) |
| #define V_OFFS16(dt) (dt)(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15) |
| /** @} */ // end of group V_OFFSn |
| |
| /** Create a vector filled with offset values corresponding to the location of each element. |
| * @name VEC_OFFS |
| * |
| * @param[in] dt The data type of the output vector |
| * @param[in] s The size of the output vector |
| * |
| * @return The vector filled with offset values |
| * @{ |
| */ |
| #define VEC_OFFS_STR(dt, s) V_OFFS##s(dt) |
| #define VEC_OFFS(dt, s) VEC_OFFS_STR(dt, s) |
| /** @} */ // end of group VEC_OFFS |
| |
| #define VLOAD_STR(size) vload##size |
| #define VLOAD(size) VLOAD_STR(size) |
| |
| #define VSTORE_STR(size) vstore##size |
| #define VSTORE(size) VSTORE_STR(size) |
| |
| #define float1 float |
| #define half1 half |
| #define char1 char |
| #define uchar1 uchar |
| #define short1 short |
| #define ushort1 ushort |
| #define int1 int |
| #define uint1 uint |
| #define long1 long |
| #define ulong1 ulong |
| #define double1 double |
| |
| #define vload1(OFFSET, PTR) *(OFFSET + PTR) |
| #define vstore1(DATA, OFFSET, PTR) *(OFFSET + PTR) = DATA |
| |
| // Convert built-in functions with _sat modifier are not supported in floating point so we create defines |
| // without _sat to overcome this issue |
| #define convert_float_sat convert_float |
| #define convert_float1_sat convert_float |
| #define convert_float2_sat convert_float2 |
| #define convert_float3_sat convert_float3 |
| #define convert_float4_sat convert_float4 |
| #define convert_float8_sat convert_float8 |
| #define convert_float16_sat convert_float16 |
| #define convert_half_sat convert_float |
| #define convert_half1_sat convert_half |
| #define convert_half2_sat convert_half2 |
| #define convert_half3_sat convert_half3 |
| #define convert_half4_sat convert_half4 |
| #define convert_half8_sat convert_half8 |
| #define convert_half16_sat convert_half16 |
| |
| #define convert_float1 convert_float |
| #define convert_half1 convert_half |
| #define convert_char1 convert_char |
| #define convert_uchar1 convert_uchar |
| #define convert_short1 convert_short |
| #define convert_ushort1 convert_ushort |
| #define convert_int1 convert_int |
| #define convert_uint1 convert_uint |
| #define convert_long1 convert_long |
| #define convert_ulong1 convert_ulong |
| #define convert_double1 convert_double |
| |
| #define convert_char1_sat convert_char_sat |
| #define convert_uchar1_sat convert_uchar_sat |
| #define convert_short1_sat convert_short_sat |
| #define convert_ushort1_sat convert_ushort_sat |
| #define convert_int1_sat convert_int_sat |
| #define convert_uint1_sat convert_uint_sat |
| #define convert_long1_sat convert_long_sat |
| #define convert_ulong1_sat convert_ulong_sat |
| #define convert_double1_sat convert_double_sat |
| |
| #define VEC_DATA_TYPE_STR(type, size) type##size |
| #define VEC_DATA_TYPE(type, size) VEC_DATA_TYPE_STR(type, size) |
| |
| #define CL_VEC_DATA_TYPE_STR(type, size) type##size |
| #define CL_VEC_DATA_TYPE(type, size) CL_VEC_DATA_TYPE_STR(type, size) |
| |
| #define CONVERT_STR(x, type) (convert_##type((x))) |
| #define CONVERT(x, type) CONVERT_STR(x, type) |
| |
| #define CONVERT_SAT_STR(x, type) (convert_##type##_sat((x))) |
| #define CONVERT_SAT(x, type) CONVERT_SAT_STR(x, type) |
| |
| #define CONVERT_SAT_ROUND_STR(x, type, round) (convert_##type##_sat_##round((x))) |
| #define CONVERT_SAT_ROUND(x, type, round) CONVERT_SAT_ROUND_STR(x, type, round) |
| |
| #define VECTOR_DECLARATION(name) \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define IMAGE_DECLARATION(name) \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_stride_y, \ |
| uint name##_step_y, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define TENSOR3D_DECLARATION(name) \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_stride_y, \ |
| uint name##_step_y, \ |
| uint name##_stride_z, \ |
| uint name##_step_z, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define TENSOR4D_DECLARATION(name) \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_stride_y, \ |
| uint name##_step_y, \ |
| uint name##_stride_z, \ |
| uint name##_step_z, \ |
| uint name##_stride_w, \ |
| uint name##_step_w, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define CONVERT_TO_VECTOR_STRUCT(name) \ |
| update_vector_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x) |
| |
| #define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name) \ |
| update_vector_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, 0) |
| |
| #define CONVERT_TO_IMAGE_STRUCT(name) \ |
| update_image_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x, name##_stride_y, name##_step_y) |
| |
| #define CONVERT_TO_IMAGE_STRUCT_NO_STEP(name) \ |
| update_image_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, 0, name##_stride_y, 0) |
| |
| #define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name) \ |
| update_image_from_tensor3D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x, name##_stride_y, name##_step_y, name##_stride_z, name##_step_z) |
| |
| #define CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP(name) \ |
| update_image_from_tensor3D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, 0, name##_stride_y, 0, name##_stride_z, name##_step_z) |
| |
| #define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name) \ |
| update_image_from_tensor3D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x, name##_stride_y, name##_step_y, name##_stride_z, name##_step_z) |
| |
| #define CONVERT_TO_TENSOR3D_STRUCT(name) \ |
| update_tensor3D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x, name##_stride_y, name##_step_y, \ |
| name##_stride_z, name##_step_z) |
| |
| #define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name) \ |
| update_tensor3D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, 0, name##_stride_y, 0, name##_stride_z, 0) |
| |
| #define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size) \ |
| update_tensor4D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, name##_step_x, name##_stride_y, name##_step_y, \ |
| name##_stride_z, name##_step_z, name##_stride_w, name##_step_w, mod_size) |
| |
| #define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size) \ |
| update_tensor4D_workitem_ptr(name##_ptr, name##_offset_first_element_in_bytes, name##_stride_x, 0, name##_stride_y, 0, name##_stride_z, 0, name##_stride_w, 0, mod_size) |
| |
| /** Structure to hold Vector information */ |
| typedef struct Vector |
| { |
| __global uchar *ptr; /**< Pointer to the starting postion of the buffer */ |
| int offset_first_element_in_bytes; /**< The offset of the first element in the source image */ |
| int stride_x; /**< Stride of the image in X dimension (in bytes) */ |
| } Vector; |
| |
| /** Structure to hold Image information */ |
| typedef struct Image |
| { |
| __global uchar *ptr; /**< Pointer to the starting postion of the buffer */ |
| int offset_first_element_in_bytes; /**< The offset of the first element in the source image */ |
| int stride_x; /**< Stride of the image in X dimension (in bytes) */ |
| int stride_y; /**< Stride of the image in Y dimension (in bytes) */ |
| } Image; |
| |
| /** Structure to hold 3D tensor information */ |
| typedef struct Tensor3D |
| { |
| __global uchar *ptr; /**< Pointer to the starting postion of the buffer */ |
| int offset_first_element_in_bytes; /**< The offset of the first element in the source image */ |
| int stride_x; /**< Stride of the image in X dimension (in bytes) */ |
| int stride_y; /**< Stride of the image in Y dimension (in bytes) */ |
| int stride_z; /**< Stride of the image in Z dimension (in bytes) */ |
| } Tensor3D; |
| |
| /** Structure to hold 4D tensor information */ |
| typedef struct Tensor4D |
| { |
| __global uchar *ptr; /**< Pointer to the starting postion of the buffer */ |
| int offset_first_element_in_bytes; /**< The offset of the first element in the source image */ |
| int stride_x; /**< Stride of the image in X dimension (in bytes) */ |
| int stride_y; /**< Stride of the image in Y dimension (in bytes) */ |
| int stride_z; /**< Stride of the image in Z dimension (in bytes) */ |
| int stride_w; /**< Stride of the image in W dimension (in bytes) */ |
| } Tensor4D; |
| |
| /** Wrap vector information into an Vector structure, and make the pointer point at this workitem's data. |
| * |
| * @param[in] ptr Pointer to the starting postion of the buffer |
| * @param[in] offset_first_element_in_bytes The offset of the first element in the source vector |
| * @param[in] stride_x Stride of the vector in X dimension (in bytes) |
| * @param[in] step_x stride_x * number of elements along X processed per workitem(in bytes) |
| * |
| * @return An image object |
| */ |
| inline Vector update_vector_workitem_ptr(__global uchar *ptr, uint offset_first_element_in_bytes, uint stride_x, uint step_x) |
| { |
| Vector vector = |
| { |
| .ptr = ptr, |
| .offset_first_element_in_bytes = offset_first_element_in_bytes, |
| .stride_x = stride_x, |
| }; |
| vector.ptr += vector.offset_first_element_in_bytes + get_global_id(0) * step_x; |
| return vector; |
| } |
| |
| /** Wrap image information into an Image structure, and make the pointer point at this workitem's data. |
| * |
| * @param[in] ptr Pointer to the starting postion of the buffer |
| * @param[in] offset_first_element_in_bytes The offset of the first element in the source image |
| * @param[in] stride_x Stride of the image in X dimension (in bytes) |
| * @param[in] step_x stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] stride_y Stride of the image in Y dimension (in bytes) |
| * @param[in] step_y stride_y * number of elements along Y processed per workitem(in bytes) |
| * |
| * @return An image object |
| */ |
| inline Image update_image_workitem_ptr(__global uchar *ptr, uint offset_first_element_in_bytes, uint stride_x, uint step_x, uint stride_y, uint step_y) |
| { |
| Image img = |
| { |
| .ptr = ptr, |
| .offset_first_element_in_bytes = offset_first_element_in_bytes, |
| .stride_x = stride_x, |
| .stride_y = stride_y |
| }; |
| img.ptr += img.offset_first_element_in_bytes + get_global_id(0) * step_x + get_global_id(1) * step_y; |
| return img; |
| } |
| |
| /** Wrap 3D tensor information into an image structure, and make the pointer point at this workitem's data. |
| * |
| * @param[in] ptr Pointer to the starting postion of the buffer |
| * @param[in] offset_first_element_in_bytes The offset of the first element in the source image |
| * @param[in] stride_x Stride of the image in X dimension (in bytes) |
| * @param[in] step_x stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] stride_y Stride of the image in Y dimension (in bytes) |
| * @param[in] step_y stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] stride_z Stride of the image in Z dimension (in bytes) |
| * @param[in] step_z stride_z * number of elements along Z processed per workitem(in bytes) |
| * |
| * @return A 3D tensor object |
| */ |
| inline Image update_image_from_tensor3D_workitem_ptr(__global uchar *ptr, uint offset_first_element_in_bytes, uint stride_x, uint step_x, uint stride_y, uint step_y, uint stride_z, uint step_z) |
| { |
| Image img = |
| { |
| .ptr = ptr, |
| .offset_first_element_in_bytes = offset_first_element_in_bytes, |
| .stride_x = stride_x, |
| .stride_y = stride_y |
| }; |
| img.ptr += img.offset_first_element_in_bytes + get_global_id(0) * step_x + get_global_id(1) * step_y + get_global_id(2) * step_z; |
| return img; |
| } |
| |
| /** Wrap 3D tensor information into an tensor structure, and make the pointer point at this workitem's data. |
| * |
| * @param[in] ptr Pointer to the starting postion of the buffer |
| * @param[in] offset_first_element_in_bytes The offset of the first element in the source image |
| * @param[in] stride_x Stride of the image in X dimension (in bytes) |
| * @param[in] step_x stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] stride_y Stride of the image in Y dimension (in bytes) |
| * @param[in] step_y stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] stride_z Stride of the image in Z dimension (in bytes) |
| * @param[in] step_z stride_z * number of elements along Z processed per workitem(in bytes) |
| * |
| * @return A 3D tensor object |
| */ |
| inline Tensor3D update_tensor3D_workitem_ptr(__global uchar *ptr, uint offset_first_element_in_bytes, uint stride_x, uint step_x, uint stride_y, uint step_y, uint stride_z, uint step_z) |
| { |
| Tensor3D tensor = |
| { |
| .ptr = ptr, |
| .offset_first_element_in_bytes = offset_first_element_in_bytes, |
| .stride_x = stride_x, |
| .stride_y = stride_y, |
| .stride_z = stride_z |
| }; |
| tensor.ptr += tensor.offset_first_element_in_bytes + get_global_id(0) * step_x + get_global_id(1) * step_y + get_global_id(2) * step_z; |
| return tensor; |
| } |
| |
| inline Tensor4D update_tensor4D_workitem_ptr(__global uchar *ptr, uint offset_first_element_in_bytes, uint stride_x, uint step_x, uint stride_y, uint step_y, uint stride_z, uint step_z, uint stride_w, |
| uint step_w, |
| uint mod_size) |
| { |
| Tensor4D tensor = |
| { |
| .ptr = ptr, |
| .offset_first_element_in_bytes = offset_first_element_in_bytes, |
| .stride_x = stride_x, |
| .stride_y = stride_y, |
| .stride_z = stride_z, |
| .stride_w = stride_w |
| }; |
| |
| tensor.ptr += tensor.offset_first_element_in_bytes + get_global_id(0) * step_x + get_global_id(1) * step_y + (get_global_id(2) % mod_size) * step_z + (get_global_id(2) / mod_size) * step_w; |
| return tensor; |
| } |
| |
| /** Get the pointer position of a Vector |
| * |
| * @param[in] vec Pointer to the starting position of the buffer |
| * @param[in] x Relative X position |
| */ |
| inline __global const uchar *vector_offset(const Vector *vec, int x) |
| { |
| return vec->ptr + x * vec->stride_x; |
| } |
| |
| /** Get the pointer position of a Image |
| * |
| * @param[in] img Pointer to the starting position of the buffer |
| * @param[in] x Relative X position |
| * @param[in] y Relative Y position |
| */ |
| inline __global uchar *offset(const Image *img, int x, int y) |
| { |
| return img->ptr + x * img->stride_x + y * img->stride_y; |
| } |
| |
| /** Get the pointer position of a Tensor3D |
| * |
| * @param[in] tensor Pointer to the starting position of the buffer |
| * @param[in] x Relative X position |
| * @param[in] y Relative Y position |
| * @param[in] z Relative Z position |
| */ |
| inline __global const uchar *tensor3D_offset(const Tensor3D *tensor, int x, int y, int z) |
| { |
| return tensor->ptr + x * tensor->stride_x + y * tensor->stride_y + z * tensor->stride_z; |
| } |
| |
| /** Get the pointer position of a Tensor4D |
| * |
| * @param[in] tensor Pointer to the starting position of the buffer |
| * @param[in] x Relative X position |
| * @param[in] y Relative Y position |
| * @param[in] z Relative Z position |
| * @param[in] w Relative W position |
| */ |
| inline __global const uchar *tensor4D_offset(const Tensor4D *tensor, int x, int y, int z, int w) |
| { |
| return tensor->ptr + x * tensor->stride_x + y * tensor->stride_y + z * tensor->stride_z + w * tensor->stride_w; |
| } |
| |
| #endif // _HELPER_H |
| |
| #if defined(FLOAT_DATA_TYPE) |
| #define ISGREATER(x, y) isgreater(x, y) |
| #define ISLESS(x, y) isless(x, y) |
| #else // !FLOAT_DATA_TYPE |
| #if defined(WIDTH) |
| #define ISGREATER(x, y) (x > y) ? 1 : 0 |
| #define ISLESS(x, y) (x < y) ? 1 : 0 |
| #else // !defined(WIDTH) |
| #define ISGREATER(x, y) select((VEC_DATA_TYPE(DATA_TYPE_SELECT, 16))0, (VEC_DATA_TYPE(DATA_TYPE_SELECT, 16)) - 1, x > y) |
| #define ISLESS(x, y) select((VEC_DATA_TYPE(DATA_TYPE_SELECT, 16))0, (VEC_DATA_TYPE(DATA_TYPE_SELECT, 16)) - 1, x < y) |
| #endif // defined(WIDTH) |
| #endif // defined(FLOAT_DATA_TYPE) |
| |
| #if defined(ARG_MAX) |
| #define CONDITION_TO_USE(x, y) ISGREATER(x, y) |
| #elif defined(ARG_MIN) |
| #define CONDITION_TO_USE(x, y) ISLESS(x, y) |
| #else // !(defined(ARG_MAX) || defined(ARG_MIN)) |
| #error "Unsupported reduction operation!" |
| #endif // defined(ARG_MAX) |
| |
| #if defined(DATA_TYPE_OUTPUT) && defined(DATA_TYPE_SELECT) |
| #if defined(WIDTH) |
| #if defined(ARG_MIN) |
| #if defined(PREV_OUTPUT) |
| /** Find index minimum value of a vector |
| * |
| * @param[in] input Pointer to the first value. |
| * |
| * @return index of the vector. |
| */ |
| inline DATA_TYPE_OUTPUT arg_idx_min_prev_out(__global const DATA_TYPE *input, __global const DATA_TYPE_OUTPUT *prev_res, const int x_idx) |
| { |
| int end_elem = (x_idx + 1) * 16; |
| if(end_elem > WIDTH) |
| { |
| end_elem = WIDTH - x_idx * 16; |
| } |
| DATA_TYPE_OUTPUT res = prev_res[0]; |
| for(int x_v = 1; x_v < end_elem; ++x_v) |
| { |
| res = select(res, prev_res[x_v], *(input + prev_res[x_v]) < * (input + res)); |
| } |
| return res; |
| } |
| #else // !defined(PREV_OUTPUT) |
| /** Find index minimum value of a vector |
| * |
| * @param[in] input Pointer to the first value. |
| * |
| * @return index of the vector. |
| */ |
| inline DATA_TYPE_OUTPUT arg_idx_min(__global const DATA_TYPE *input, const int x_idx) |
| { |
| #if WIDTH < 16 |
| DATA_TYPE_OUTPUT res = 0; |
| for(DATA_TYPE_OUTPUT x_v = res + 1; x_v < WIDTH; ++x_v) |
| { |
| res = select(res, x_v, *(input + x_v) < * (input + res)); |
| } |
| return res; |
| #else // WIDTH >= 16 |
| int x_elem = x_idx * 16; |
| const int x_goback = select(0, 16 - WIDTH % 16, x_elem + 16 > WIDTH); |
| x_elem -= x_goback; |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = vload16(0, input - x_goback); |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| res = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }; |
| |
| VEC_DATA_TYPE(DATA_TYPE_SELECT, 8) |
| idx_sel = (in.s01234567 <= in.s89abcdef); |
| in.s01234567 = select(in.s89abcdef, in.s01234567, idx_sel); |
| res.s01234567 = select(res.s89abcdef, res.s01234567, CONVERT(idx_sel, int8)); |
| |
| idx_sel.s0123 = (in.s0123 < in.s4567) || (in.s0123 == in.s4567 && CONVERT((res.s0123 < res.s4567), VEC_DATA_TYPE(DATA_TYPE_SELECT, 4))); |
| in.s0123 = select(in.s4567, in.s0123, idx_sel.s0123); |
| res.s0123 = select(res.s4567, res.s0123, CONVERT(idx_sel.s0123, int4)); |
| |
| idx_sel.s01 = (in.s01 < in.s23) || (in.s01 == in.s23 && CONVERT((res.s01 < res.s23), VEC_DATA_TYPE(DATA_TYPE_SELECT, 2))); |
| in.s01 = select(in.s23, in.s01, idx_sel.s01); |
| res.s01 = select(res.s23, res.s01, CONVERT(idx_sel.s01, int2)); |
| |
| idx_sel.s0 = (in.s0 < in.s1) || (in.s0 == in.s1 && CONVERT((res.s0 < res.s1), DATA_TYPE_SELECT)); |
| res.s0 = select(res.s1, res.s0, CONVERT(idx_sel.s0, int)); |
| |
| return res.s0 + x_elem; |
| #endif // WIDTH < 16 |
| } |
| #endif // defined(PREV_OUTPUT) |
| #endif // defined(ARG_MIN) |
| #if defined(ARG_MAX) |
| #if defined(PREV_OUTPUT) |
| /** Find index maximum value of a vector |
| * |
| * @param[in] input Pointer to the first value. |
| * |
| * @return index of the vector. |
| */ |
| inline DATA_TYPE_OUTPUT arg_idx_max_prev_out(__global const DATA_TYPE *input, __global const DATA_TYPE_OUTPUT *prev_res, const int x_idx) |
| { |
| int end_elem = (x_idx + 1) * 16; |
| if(end_elem > WIDTH) |
| { |
| end_elem = WIDTH - x_idx * 16; |
| } |
| DATA_TYPE_OUTPUT res = prev_res[0]; |
| for(int x_v = 1; x_v < end_elem; ++x_v) |
| { |
| res = select(res, prev_res[x_v], *(input + prev_res[x_v]) > *(input + res)); |
| } |
| return res; |
| } |
| #else // !defined(PREV_OUTPUT) |
| /** Find index maximum value of a vector |
| * |
| * @param[in] input Pointer to the first value. |
| * |
| * @return index of the vector. |
| */ |
| inline DATA_TYPE_OUTPUT arg_idx_max(__global const DATA_TYPE *input, const int x_idx) |
| { |
| #if WIDTH < 16 |
| DATA_TYPE_OUTPUT res = 0; |
| for(DATA_TYPE_OUTPUT x_v = res + 1; x_v < WIDTH; ++x_v) |
| { |
| res = select(res, x_v, *(input + x_v) > *(input + res)); |
| } |
| return res; |
| #else // WIDTH >= 16 |
| int x_elem = x_idx * 16; |
| const int x_goback = select(0, 16 - WIDTH % 16, x_elem + 16 > WIDTH); |
| x_elem -= x_goback; |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = vload16(0, input - x_goback); |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| res = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }; |
| |
| VEC_DATA_TYPE(DATA_TYPE_SELECT, 8) |
| idx_sel = (in.s01234567 >= in.s89abcdef); |
| in.s01234567 = select(in.s89abcdef, in.s01234567, idx_sel); |
| res.s01234567 = select(res.s89abcdef, res.s01234567, CONVERT(idx_sel, int8)); |
| |
| idx_sel.s0123 = (in.s0123 > in.s4567) || (in.s0123 == in.s4567 && CONVERT((res.s0123 < res.s4567), VEC_DATA_TYPE(DATA_TYPE_SELECT, 4))); |
| in.s0123 = select(in.s4567, in.s0123, idx_sel.s0123); |
| res.s0123 = select(res.s4567, res.s0123, CONVERT(idx_sel.s0123, int4)); |
| |
| idx_sel.s01 = (in.s01 > in.s23) || (in.s01 == in.s23 && CONVERT((res.s01 < res.s23), VEC_DATA_TYPE(DATA_TYPE_SELECT, 2))); |
| in.s01 = select(in.s23, in.s01, idx_sel.s01); |
| res.s01 = select(res.s23, res.s01, CONVERT(idx_sel.s01, int2)); |
| |
| idx_sel.s0 = (in.s0 > in.s1) || (in.s0 == in.s1 && CONVERT((res.s0 < res.s1), DATA_TYPE_SELECT)); |
| res.s0 = select(res.s1, res.s0, CONVERT(idx_sel.s0, int)); |
| |
| return res.s0 + x_elem; |
| #endif // WIDTH < 16 |
| } |
| #endif // defined(PREV_OUTPUT) |
| #endif // defined(ARG_MAX) |
| |
| /** This kernel performs parallel reduction given an operation on x-axis. |
| * |
| * @note In case the results of previous stages are passed the flag PREV_OUTPUT has to be passed using -DPREV_OUTPUT |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data type of the output must be passed at compile time using -DDATA_TYPE_OUTPUT: e.g. -DDATA_TYPE_OUTPUT=uint |
| * @note The arg_max flag must be passed at compile time using -DARG_MAX if we want to compute the ArgMax |
| * @note The arg_min flag must be passed at compile time using -DARG_MIN if we want to compute the ArgMin |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] prev_res_ptr (Optional) Pointer to previous results tensor. Supported data types: U32/S32 |
| * @param[in] prev_res_stride_x (Optional) Stride of the output tensor in X dimension (in bytes) |
| * @param[in] prev_res_step_x (Optional) prev_res_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] prev_res_stride_y (Optional) Stride of the output tensor in Y dimension (in bytes) |
| * @param[in] prev_res_step_y (Optional) prev_res_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] prev_res_offset_first_element_in_bytes (Optional) The offset of the first element in the previous results tensor |
| * @param[in] partial_res_ptr The local buffer to hold partial result values. Supported data types: U32/S32 |
| * @param[in] partial_res_stride_x Stride of the output tensor in X dimension (in bytes) |
| * @param[in] partial_res_step_x partial_res_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] partial_res_stride_y Stride of the output tensor in Y dimension (in bytes) |
| * @param[in] partial_res_step_y partial_res_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] partial_res_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] local_results Local buffer for storing the partial result |
| */ |
| __kernel void arg_min_max_x( |
| IMAGE_DECLARATION(src), |
| #if defined(PREV_OUTPUT) |
| IMAGE_DECLARATION(prev_res), |
| #endif // defined(PREV_OUTPUT) |
| IMAGE_DECLARATION(partial_res), |
| __local DATA_TYPE_OUTPUT *local_results) |
| { |
| #if defined(PREV_OUTPUT) |
| Image src = CONVERT_TO_IMAGE_STRUCT_NO_STEP(src); |
| Image prev_res = CONVERT_TO_IMAGE_STRUCT(prev_res); |
| #else // !defined(PREV_OUTPUT) |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| #endif // defined(PREV_OUTPUT) |
| Image partial_res = CONVERT_TO_IMAGE_STRUCT(partial_res); |
| |
| unsigned int lsize = get_local_size(0); |
| unsigned int lid = get_local_id(0); |
| |
| const uint x_idx = get_global_id(0); |
| const uint y_idx = get_global_id(1); |
| const __global DATA_TYPE *src_in_row = (const __global DATA_TYPE *)(src_ptr + src_offset_first_element_in_bytes + y_idx * src_step_y); |
| |
| for(unsigned int y = 0; y < get_local_size(1); ++y) |
| { |
| #if defined(ARG_MAX) |
| #if defined(PREV_OUTPUT) |
| local_results[lid] = arg_idx_max_prev_out(src_in_row, (__global DATA_TYPE_OUTPUT *)offset(&prev_res, 0, y), x_idx); |
| #else // !defined(PREV_OUTPUT) |
| local_results[lid] = arg_idx_max((__global DATA_TYPE *)offset(&src, 0, y), x_idx); |
| #endif // defined(PREV_OUTPUT) |
| #else // defined(ARG_MIN) |
| #if defined(PREV_OUTPUT) |
| local_results[lid] = arg_idx_min_prev_out(src_in_row, (__global DATA_TYPE_OUTPUT *)offset(&prev_res, 0, y), x_idx); |
| #else // !defined(PREV_OUTPUT) |
| local_results[lid] = arg_idx_min((__global DATA_TYPE *)offset(&src, 0, y), x_idx); |
| #endif // defined(PREV_OUTPUT) |
| #endif // defined(ARG_MAX) || defined(ARG_MIN) |
| |
| barrier(CLK_LOCAL_MEM_FENCE); |
| |
| // Looking for the next highest power of 2 (maximum value of lsize is 8) |
| unsigned int middle = lsize - 1; |
| middle |= middle >> 1; |
| middle |= middle >> 2; |
| middle += 1; |
| // Perform parallel reduction |
| for(unsigned int i = middle; i > 0; i >>= 1) |
| { |
| if( lid < i && lid + i < lsize) |
| { |
| DATA_TYPE tmp0 = *(src_in_row + local_results[lid]); |
| DATA_TYPE tmp1 = *(src_in_row + local_results[lid + i]); |
| #if defined(ARG_MAX) |
| local_results[lid] = select( |
| local_results[lid], |
| local_results[lid + i], |
| ((tmp0 == tmp1) && (local_results[lid + i] < local_results[lid])) || (tmp0 < tmp1)); |
| #else // defined(ARG_MIN) |
| local_results[lid] = select( |
| local_results[lid], |
| local_results[lid + i], |
| ((tmp0 == tmp1) && (local_results[lid + i] < local_results[lid])) || (tmp0 > tmp1)); |
| #endif // defined(ARG_MAX) || defined(ARG_MIN) |
| } |
| barrier(CLK_LOCAL_MEM_FENCE); |
| } |
| |
| if(lid == 0) |
| { |
| ((__global DATA_TYPE_OUTPUT *)offset(&partial_res, get_group_id(0), y))[0] = local_results[0]; |
| } |
| } |
| } |
| #endif // defined(WIDTH) |
| |
| #if defined(HEIGHT) |
| /** This kernel performs reduction on y-axis. |
| * |
| * @note The input data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data type of the output must be passed at compile time using -DDATA_TYPE_OUTPUT: e.g. -DDATA_TYPE_OUTPUT=uint |
| * @note The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int |
| * @note The height size must be passed at compile time using -DHEIGHT e.g. -DHEIGHT=128 |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 |
| * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor |
| */ |
| __kernel void arg_min_max_y( |
| IMAGE_DECLARATION(src), |
| IMAGE_DECLARATION(output)) |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Image output = CONVERT_TO_IMAGE_STRUCT(output); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| res = CONVERT(vload16(0, (__global DATA_TYPE *)offset(&src, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| indx = 0; |
| for(unsigned int y = 1; y < HEIGHT; ++y) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = CONVERT(vload16(0, (__global DATA_TYPE *)offset(&src, 0, y)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)); |
| indx = select(indx, y, cond_conv); |
| res = select(res, in, CONDITION_TO_USE(in, res)); |
| } |
| |
| // Store result |
| vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr); |
| } |
| #endif // defined(HEIGHT) |
| |
| #if defined(DEPTH) |
| /** This kernel performs reduction on z-axis. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int |
| * @note The depth size must be passed at compile time using -DDEPTH e.g. -DDEPTH=128 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 |
| * @param[in] input_stride_x Stride of the source tensor 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 tensor 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 tensor |
| * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 |
| * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) |
| * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor |
| */ |
| __kernel void arg_min_max_z( |
| TENSOR3D_DECLARATION(input), |
| TENSOR3D_DECLARATION(output)) |
| { |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| res = CONVERT(vload16(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| indx = 0; |
| for(DATA_TYPE_OUTPUT z = 1; z < DEPTH; ++z) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = CONVERT(vload16(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, z)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)); |
| indx = select(indx, z, cond_conv); |
| res = select(res, in, CONDITION_TO_USE(in, res)); |
| } |
| |
| // Store result |
| vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr); |
| } |
| #endif /* defined(DEPTH) */ |
| |
| #if defined(BATCH) && defined(DEPTH) |
| /** This kernel performs reduction on w-axis. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int |
| * @note The batch size must be passed at compile time using -DBATCH e.g. -DBATCH=128 |
| * @note The depth size must be passed at compile time using -DBATCH e.g. -DDEPTH=128 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 |
| * @param[in] input_stride_x Stride of the source tensor 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 tensor 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_stride_w Stride of the source tensor in W dimension (in bytes) |
| * @param[in] input_step_w input_stride_w * number of elements along W processed per workitem(in bytes) |
| * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 |
| * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) |
| * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) |
| * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) |
| * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_stride_w Stride of the output tensor in W dimension (in bytes) |
| * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor |
| */ |
| __kernel void arg_min_max_w( |
| TENSOR4D_DECLARATION(input), |
| TENSOR4D_DECLARATION(output)) |
| { |
| Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT(input, DEPTH); |
| Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH); |
| |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| res = CONVERT(vload16(0, (__global DATA_TYPE *)tensor4D_offset(&input, 0, 0, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| indx = 0; |
| for(DATA_TYPE_OUTPUT w = 1; w < BATCH; ++w) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| in = CONVERT(vload16(0, (__global DATA_TYPE *)tensor4D_offset(&input, 0, 0, 0, w)), VEC_DATA_TYPE(DATA_TYPE, 16)); |
| |
| VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) |
| cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)); |
| indx = select(indx, w, cond_conv); |
| res = select(res, in, CONDITION_TO_USE(in, res)); |
| } |
| |
| // Store result |
| vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr); |
| } |
| #endif /* defined(BATCH) && defined(DEPTH) */ |
| #endif /* defined(DATA_TYPE_OUTPUT) && defined(DATA_TYPE_SELECT) */ |
| |
| )" |