| R"( |
| |
| /* |
| * Copyright (c) 2016-2018 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 |
| |
| #undef CONVERT_SAT |
| |
| #define ADD_OP(a, b) ((a) + (b)) |
| #define MUL_OP(a, b) ((a) * (b)) |
| #define CONVERT_SAT(a, b) ((a)) |
| |
| #if defined(DATA_TYPE) && defined(DATA_SIZE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH) |
| |
| #if defined(DATA_LAYOUT_NHWC) |
| |
| #define PTR_TO_VALUE(PTR, DATA_TYPE) *((__global DATA_TYPE *)(PTR)) |
| |
| /** This kernel performs a direct convolution to convolve the low three dimensions of a tensor with data layout NHWC |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 |
| * @note The convolution stride x must be passed at compile time using -DSTRIDE_X e.g. -DSTRIDE_X=1 |
| * @note The third dimensions of the weights tensors must be passed at compile time using -DWEIGHTS_DEPTH |
| * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| * @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension |
| */ |
| __kernel void direct_convolution1x1_nhwc( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| TENSOR3D_DECLARATION(weights), |
| #ifdef HAS_BIAS |
| VECTOR_DECLARATION(biases), |
| #endif /* defined(HAS_BIAS) */ |
| unsigned int weights_stride_w) |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef HAS_BIAS |
| Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| #endif /* defined(HAS_BIAS) */ |
| |
| VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8) |
| values = 0; |
| const int id0 = get_global_id(0); |
| const int id1 = get_global_id(1); |
| const int id2 = get_global_id(2); |
| weights.ptr += id0 * weights_stride_w; |
| __global uchar *src_addr = (__global uchar *)offset(&src, 0, 0) - src_stride_x * id0 + id2 * STRIDE_Y * (int)src_stride_z; |
| |
| for(volatile int d = 0; d < WEIGHTS_DEPTH; ++d) |
| { |
| DATA_TYPE weight = *(__global DATA_TYPE *)weights.ptr; |
| #if STRIDE_X == 1 |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| col0 = (VEC_DATA_TYPE(DATA_TYPE, 8))( |
| PTR_TO_VALUE(src_addr + 0 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 1 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 2 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 3 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 4 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 5 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 6 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 7 * src_stride_y, DATA_TYPE)); |
| #elif STRIDE_X == 2 /* STRIDE_X == 1 */ |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| col0 = (VEC_DATA_TYPE(DATA_TYPE, 8))( |
| PTR_TO_VALUE(src_addr + 0 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 2 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 4 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 6 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 8 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 10 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 12 * src_stride_y, DATA_TYPE), |
| PTR_TO_VALUE(src_addr + 14 * src_stride_y, DATA_TYPE)); |
| #else /* STRIDE_X not equals 1 or 2 */ |
| #error "STRIDE_X larger than 2 is not supported" |
| #endif /* STRIDE_X == 2 */ |
| values = ADD_OP(values, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))weight, col0)); |
| |
| src_addr += src_stride_x; |
| weights.ptr += weights_stride_x; |
| } |
| |
| #ifdef HAS_BIAS |
| values = ADD_OP(values, (VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)) * ((__global DATA_TYPE *)(vector_offset(&biases, id0)))); |
| #endif /* defined(HAS_BIAS) */ |
| |
| *((__global DATA_TYPE *)dst.ptr) = values.s0; |
| *((__global DATA_TYPE *)(dst.ptr + 1 * dst_stride_y)) = values.s1; |
| *((__global DATA_TYPE *)(dst.ptr + 2 * dst_stride_y)) = values.s2; |
| *((__global DATA_TYPE *)(dst.ptr + 3 * dst_stride_y)) = values.s3; |
| *((__global DATA_TYPE *)(dst.ptr + 4 * dst_stride_y)) = values.s4; |
| *((__global DATA_TYPE *)(dst.ptr + 5 * dst_stride_y)) = values.s5; |
| *((__global DATA_TYPE *)(dst.ptr + 6 * dst_stride_y)) = values.s6; |
| *((__global DATA_TYPE *)(dst.ptr + 7 * dst_stride_y)) = values.s7; |
| } |
| #endif // defined(DATA_LAYOUT_NHWC) |
| |
| #if STRIDE_X == 3 |
| #define INPUT_PIXEL_STR(data_size) extract_input_stride3_##data_size |
| #define INPUT_PIXEL(data_size) INPUT_PIXEL_STR(data_size) |
| #elif STRIDE_X == 2 |
| #define INPUT_PIXEL(data_size) extract_input_stride2 |
| #elif STRIDE_X == 1 |
| #define INPUT_PIXEL(data_size) extract_input_stride1 |
| #else /* STRIDE_X not equals 1, 2 or 3 */ |
| #error "Only support strides 1, 2 and 3" |
| #endif /* STRIDE_X == 3 */ |
| |
| /** Extracts a 1D horizontal vector from the input tensor with stride as 1. |
| * |
| * @param[in] input_pixel Pointer to the first pixel. |
| * |
| * @return extracted input values. |
| */ |
| inline VEC_DATA_TYPE(DATA_TYPE, 8) extract_input_stride1(__global const DATA_TYPE *input_pixel) |
| { |
| return vload8(0, input_pixel); |
| } |
| |
| /** Extracts a 1D horizontal vector from the input tensor with stride as 2. |
| * |
| * @param[in] input_pixel Pointer to the first pixel. |
| * |
| * @return extracted input values. |
| */ |
| inline VEC_DATA_TYPE(DATA_TYPE, 8) extract_input_stride2(__global const DATA_TYPE *input_pixel) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| temp = vload16(0, input_pixel); |
| return temp.s02468ace; |
| } |
| |
| /** Extracts a 1D horizontal vector from the input tensor with stride as 3 and 32-bit data size. |
| * |
| * @param[in] input_pixel Pointer to the first pixel. |
| * |
| * @return extracted input values. |
| */ |
| inline VEC_DATA_TYPE(DATA_TYPE, 8) extract_input_stride3_32(__global const DATA_TYPE *input_pixel) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| temp1 = vload4(0, input_pixel); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| temp2 = vload4(0, input_pixel + 6); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| temp3 = vload4(0, input_pixel + 12); |
| VEC_DATA_TYPE(DATA_TYPE, 4) |
| temp4 = vload4(0, input_pixel + 18); |
| return (VEC_DATA_TYPE(DATA_TYPE, 8))(temp1.s03, temp2.s03, temp3.s03, temp4.s03); |
| } |
| |
| /** Extracts a 1D horizontal vector from the input tensor with stride as 3 and 16-bit data size. |
| * |
| * @param[in] input_pixel Pointer to the first pixel. |
| * |
| * @return extracted input values. |
| */ |
| inline VEC_DATA_TYPE(DATA_TYPE, 8) extract_input_stride3_16(__global const DATA_TYPE *input_pixel) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| temp1 = vload8(0, input_pixel); |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| temp2 = vload8(0, input_pixel + 8); |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| temp3 = vload8(0, input_pixel + 16); |
| return (VEC_DATA_TYPE(DATA_TYPE, 8))(temp1.s036, temp2.s147, temp3.s25); |
| } |
| |
| /** Extracts a 1D horizontal vector from the input tensor with stride as 3 and 8-bit data size. |
| * |
| * @param[in] input_pixel Pointer to the first pixel. |
| * |
| * @return extracted input values. |
| */ |
| inline VEC_DATA_TYPE(DATA_TYPE, 8) extract_input_stride3_8(__global const DATA_TYPE *input_pixel) |
| { |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| temp1 = vload16(0, input_pixel); |
| VEC_DATA_TYPE(DATA_TYPE, 16) |
| temp2 = vload16(0, input_pixel + 12); |
| return (VEC_DATA_TYPE(DATA_TYPE, 8))(temp1.s0369, temp2.s0369); |
| } |
| |
| /** This kernel performs a direct convolution to convolve the low three dimensions. |
| * |
| * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float |
| * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 |
| * @note The convolution stride x must be passed at compile time using -DSTRIDE_X e.g. -DSTRIDE_X=1 |
| * @note The third dimensions of the weights tensors must be passed at compile time using -DWEIGHTS_DEPTH |
| * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| * @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension |
| */ |
| __kernel void direct_convolution1x1( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| TENSOR3D_DECLARATION(weights), |
| #ifdef HAS_BIAS |
| VECTOR_DECLARATION(biases), |
| #endif /* defined(HAS_BIAS) */ |
| unsigned int weights_stride_w) |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef HAS_BIAS |
| Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| #endif /* defined(HAS_BIAS) */ |
| |
| VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8) |
| values = 0; |
| |
| const uint z_index = get_global_id(2); |
| |
| weights.ptr += z_index * weights_stride_w; |
| for(volatile int d = 0; d < WEIGHTS_DEPTH; ++d) |
| { |
| DATA_TYPE weight = *(__global DATA_TYPE *)weights.ptr; |
| VEC_DATA_TYPE(DATA_TYPE, 8) |
| input_pixel = INPUT_PIXEL(DATA_SIZE)((__global DATA_TYPE *)src.ptr); |
| values = ADD_OP(values, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))weight, input_pixel)); |
| src.ptr += src_stride_z; |
| weights.ptr += weights_stride_z; |
| } |
| |
| #ifdef HAS_BIAS |
| values = ADD_OP(values, (VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)) * ((__global DATA_TYPE *)(vector_offset(&biases, z_index)))); |
| #endif /* defined(HAS_BIAS) */ |
| |
| vstore8(CONVERT_SAT(values, VEC_DATA_TYPE(DATA_TYPE, 8)), 0, (__global DATA_TYPE *)dst.ptr); |
| } |
| #endif // defined(DATA_TYPE) && defined(DATA_SIZE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH) |
| |
| #if defined(WEIGHTS_DEPTH) |
| |
| #define CONVOLUTION1x1_BIFROST(acc, src, weight_value) \ |
| ({ \ |
| acc.s0 = mad(src.s0, weight_value, acc.s0); \ |
| acc.s1 = mad(src.s1, weight_value, acc.s1); \ |
| acc.s2 = mad(src.s2, weight_value, acc.s2); \ |
| acc.s3 = mad(src.s3, weight_value, acc.s3); \ |
| }) |
| |
| /** An optimized direct convolution 1x1 OpenCL kernel for Bifrost architectures when the data type is F32 |
| * |
| * @note This OpenCL kernel works only with stride_x and stride_y equal to 1 |
| * @note The third dimensions of the weights tensors must be passed at compile time using -DWEIGHTS_DEPTH |
| * @note In case biases, -DHAS_BIAS must to be passed at compile |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases tensor |
| * @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension |
| */ |
| __kernel void direct_convolution1x1_f32_bifrost( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| TENSOR3D_DECLARATION(weights), |
| #ifdef HAS_BIAS |
| VECTOR_DECLARATION(biases), |
| #endif /* defined(HAS_BIAS) */ |
| unsigned int weights_stride_w) |
| { |
| // Get the kernel index |
| const int kernel_index = get_global_id(2); |
| |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| float4 acc0 = 0.0f; |
| float4 acc1 = 0.0f; |
| float4 acc2 = 0.0f; |
| float4 acc3 = 0.0f; |
| |
| __global uchar *weights_addr = (__global uchar *)(weights_ptr + weights_offset_first_element_in_bytes + kernel_index * weights_stride_w); |
| __global uchar *src_addr = (__global uchar *)offset(&src, 0, 0); |
| |
| for(ushort d = 0; d < (ushort)WEIGHTS_DEPTH; ++d) |
| { |
| // Load the weights |
| float weight = *((__global float *)weights_addr); |
| |
| // Load values from row0 of input tensor |
| float4 src0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); |
| float4 src1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); |
| float4 src2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); |
| float4 src3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); |
| |
| CONVOLUTION1x1_BIFROST(acc0, src0, weight); |
| CONVOLUTION1x1_BIFROST(acc1, src1, weight); |
| CONVOLUTION1x1_BIFROST(acc2, src2, weight); |
| CONVOLUTION1x1_BIFROST(acc3, src3, weight); |
| |
| src_addr += src_stride_z; |
| weights_addr += weights_stride_z; |
| } |
| |
| #ifdef HAS_BIAS |
| Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| |
| float bias = (float) * ((__global float *)(vector_offset(&biases, kernel_index))); |
| |
| acc0.s0 += bias; |
| acc0.s1 += bias; |
| acc0.s2 += bias; |
| acc0.s3 += bias; |
| acc1.s0 += bias; |
| acc1.s1 += bias; |
| acc1.s2 += bias; |
| acc1.s3 += bias; |
| acc2.s0 += bias; |
| acc2.s1 += bias; |
| acc2.s2 += bias; |
| acc2.s3 += bias; |
| acc3.s0 += bias; |
| acc3.s1 += bias; |
| acc3.s2 += bias; |
| acc3.s3 += bias; |
| #endif /* defined(HAS_BIAS) */ |
| |
| vstore4(acc0, 0, (__global float *)(dst.ptr + 0 * dst_stride_y)); |
| vstore4(acc1, 0, (__global float *)(dst.ptr + 1 * dst_stride_y)); |
| vstore4(acc2, 0, (__global float *)(dst.ptr + 2 * dst_stride_y)); |
| vstore4(acc3, 0, (__global float *)(dst.ptr + 3 * dst_stride_y)); |
| } |
| #endif // defined(WEIGHTS_DEPTH) |
| |
| )" |
