| R"( |
| |
| /* |
| * Copyright (c) 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. |
| */ |
| /* |
| * 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 |
| |
| /** Calculates and applies the twiddle factor to a given input. |
| * |
| * @param[in] phi The angle. |
| * @param[in,out] input The input on which the factor should be applied. |
| */ |
| #define TWIDDLE_FACTOR_MULTIPLICATION(phi, input) \ |
| { \ |
| float2 w, tmp; \ |
| w.x = native_cos(phi); \ |
| w.y = native_sin(phi); \ |
| tmp.x = (w.x * input.x) - (w.y * input.y); \ |
| tmp.y = (w.x * input.y) + (w.y * input.x); \ |
| input = tmp; \ |
| } |
| |
| /** Computes radix-2 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| */ |
| #define DFT_2(c0, c1) \ |
| { \ |
| float2 v0; \ |
| v0 = c0; \ |
| c0 = v0 + c1; \ |
| c1 = v0 - c1; \ |
| } |
| |
| // radix-3 butterfly unit factors |
| #define SQRT3DIV2 0.86602540378443f |
| |
| /** Computes radix-3 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| * @param[in,out] c2 Complex input 2. |
| */ |
| #define DFT_3(c0, c1, c2) \ |
| { \ |
| float2 v0 = c1 + c2; \ |
| float2 v1 = c1 - c2; \ |
| c1.x = c0.x - 0.5f * v0.x + v1.y * SQRT3DIV2; \ |
| c1.y = c0.y - 0.5f * v0.y - v1.x * SQRT3DIV2; \ |
| c2.x = c0.x - 0.5f * v0.x - v1.y * SQRT3DIV2; \ |
| c2.y = c0.y - 0.5f * v0.y + v1.x * SQRT3DIV2; \ |
| c0 = c0 + v0; \ |
| } |
| |
| /**Computes radix-4 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| * @param[in,out] c2 Complex input 2. |
| * @param[in,out] c3 Complex input 3. |
| */ |
| #define DFT_4(c0, c1, c2, c3) \ |
| { \ |
| float2 v0, v1, v2, v3; \ |
| v0 = c0 + c2; \ |
| v1 = c1 + c3; \ |
| v2 = c0 - c2; \ |
| v3.x = c1.y - c3.y; \ |
| v3.y = c3.x - c1.x; \ |
| c0 = v0 + v1; \ |
| c2 = v0 - v1; \ |
| c1 = v2 + v3; \ |
| c3 = v2 - v3; \ |
| } |
| |
| // radix-5 butterfly unit factors |
| #define W5_A 0.30901699437494f |
| #define W5_B 0.95105651629515f |
| #define W5_C 0.80901699437494f |
| #define W5_D 0.58778525229247f |
| |
| /** Computes radix-5 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| * @param[in,out] c2 Complex input 2. |
| * @param[in,out] c3 Complex input 3. |
| * @param[in,out] c4 Complex input 4. |
| */ |
| #define DFT_5(c0, c1, c2, c3, c4) \ |
| { \ |
| float2 v0, v1, v2, v3, v4; \ |
| v0 = c0; \ |
| v1 = W5_A * (c1 + c4) - W5_C * (c2 + c3); \ |
| v2 = W5_C * (c1 + c4) - W5_A * (c2 + c3); \ |
| v3 = W5_D * (c1 - c4) - W5_B * (c2 - c3); \ |
| v4 = W5_B * (c1 - c4) + W5_D * (c2 - c3); \ |
| c0 = v0 + c1 + c2 + c3 + c4; \ |
| c1 = v0 + v1 + (float2)(v4.y, -v4.x); \ |
| c2 = v0 - v2 + (float2)(v3.y, -v3.x); \ |
| c3 = v0 - v2 + (float2)(-v3.y, v3.x); \ |
| c4 = v0 + v1 + (float2)(-v4.y, v4.x); \ |
| } |
| |
| // radix-7 butterfly unit factors |
| #define W7_A 0.62348980185873f |
| #define W7_B 0.78183148246802f |
| #define W7_C 0.22252093395631f |
| #define W7_D 0.97492791218182f |
| #define W7_E 0.90096886790241f |
| #define W7_F 0.43388373911755f |
| |
| /** Computes radix-7 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| * @param[in,out] c2 Complex input 2. |
| * @param[in,out] c3 Complex input 3. |
| * @param[in,out] c4 Complex input 4. |
| * @param[in,out] c5 Complex input 5. |
| * @param[in,out] c6 Complex input 6. |
| */ |
| #define DFT_7(c0, c1, c2, c3, c4, c5, c6) \ |
| { \ |
| float2 v0, v1, v2, v3, v4, v5, v6; \ |
| v0 = c0; \ |
| v1 = W7_A * (c1 + c6) - W7_C * (c2 + c5) - W7_E * (c3 + c4); \ |
| v2 = W7_C * (c1 + c6) + W7_E * (c2 + c5) - W7_A * (c3 + c4); \ |
| v3 = W7_E * (c1 + c6) - W7_A * (c2 + c5) + W7_C * (c3 + c4); \ |
| v4 = W7_B * (c1 - c6) + W7_D * (c2 - c5) + W7_F * (c3 - c4); \ |
| v5 = W7_D * (c1 - c6) - W7_F * (c2 - c5) - W7_B * (c3 - c4); \ |
| v6 = W7_F * (c1 - c6) - W7_B * (c2 - c5) + W7_D * (c3 - c4); \ |
| c0 = v0 + c1 + c2 + c3 + c4 + c5 + c6; \ |
| c1 = v0 + v1 + (float2)(v4.y, -v4.x); \ |
| c2 = v0 - v2 + (float2)(v5.y, -v5.x); \ |
| c3 = v0 - v3 + (float2)(v6.y, -v6.x); \ |
| c4 = v0 - v3 + (float2)(-v6.y, v6.x); \ |
| c5 = v0 - v2 + (float2)(-v5.y, v5.x); \ |
| c6 = v0 + v1 + (float2)(-v4.y, v4.x); \ |
| } |
| |
| /** Computes radix-8 butterfly unit. |
| * |
| * @param[in,out] c0 Complex input 0. |
| * @param[in,out] c1 Complex input 1. |
| * @param[in,out] c2 Complex input 2. |
| * @param[in,out] c3 Complex input 3. |
| * @param[in,out] c4 Complex input 4. |
| * @param[in,out] c5 Complex input 5. |
| * @param[in,out] c6 Complex input 6. |
| * @param[in,out] c7 Complex input 7. |
| */ |
| #define DFT_8(c0, c1, c2, c3, c4, c5, c6, c7) \ |
| { \ |
| float2 v0, v1, v2, v3, v4, v5, v6, v7; \ |
| float2 s0, s1, s2, s3, s4, s5, s6, s7; \ |
| float2 t0, t1, t2; \ |
| v0 = c0 + c4; \ |
| v1 = c1 + c5; \ |
| v2 = c2 + c6; \ |
| v3 = c3 + c7; \ |
| v4 = c0 - c4; \ |
| v5 = c1 - c5; \ |
| v6 = c2 - c6; \ |
| v7 = c3 - c7; \ |
| s0 = v0 + v2; \ |
| s1 = v1 + v3; \ |
| s2 = v0 - v2; \ |
| s3 = v1 - v3; \ |
| s4.x = v4.x - v6.y; \ |
| s4.y = v4.y + v6.x; \ |
| s5.x = v5.x - v7.y; \ |
| s5.y = v5.y + v7.x; \ |
| s6.x = v4.x + v6.y; \ |
| s6.y = v4.y - v6.x; \ |
| s7.x = v5.x + v7.y; \ |
| s7.y = v5.y - v7.x; \ |
| t0.x = -s3.y; \ |
| t0.y = s3.x; \ |
| t1.x = M_SQRT1_2_F * (s5.x - s5.y); \ |
| t1.y = M_SQRT1_2_F * (s5.x + s5.y); \ |
| t2.x = -M_SQRT1_2_F * (s7.x + s7.y); \ |
| t2.y = M_SQRT1_2_F * (s7.x - s7.y); \ |
| c0 = s0 + s1; \ |
| c1 = s6 - t2; \ |
| c2 = s2 - t0; \ |
| c3 = s4 - t1; \ |
| c4 = s0 - s1; \ |
| c5 = s6 + t2; \ |
| c6 = s2 + t0; \ |
| c7 = s4 + t1; \ |
| } |
| |
| /** Computes the first stage of a radix-2 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_2_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 two complex input values |
| float4 data = vload4(0, (__global float *)input.ptr); |
| |
| // Compute DFT N = 2 |
| DFT_2(data.s01, data.s23); |
| |
| // Store two complex output values |
| vstore4(data, 0, (__global float *)output.ptr); |
| } |
| |
| /** Computes the first stage of a radix-2 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_2_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 two complex input values |
| float2 data1 = vload2(0, (__global float *)input.ptr); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| |
| // Compute DFT N = 2 |
| DFT_2(data1, data2); |
| |
| // Store two complex output values |
| vstore2(data1, 0, (__global float *)output.ptr); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| } |
| |
| /** Computes the first stage of a radix-3 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_3_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 three complex input values |
| float4 data0 = vload4(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 2, 0, 0)); |
| |
| // Compute DFT N = 3 |
| DFT_3(data0.s01, data0.s23, data1.s01); |
| |
| // Store three complex output values |
| vstore4(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 2, 0, 0)); |
| } |
| |
| /** Computes the first stage of a radix-3 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_3_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 three complex input values |
| float2 data0 = vload2(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2, 0)); |
| |
| // Compute DFT N = 3 |
| DFT_3(data0, data1, data2); |
| |
| // Store three complex output values |
| vstore2(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 2, 0)); |
| } |
| |
| /** Computes the first stage of a radix-4 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_4_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 four complex input values |
| float8 data = vload8(0, (__global float *)input.ptr); |
| |
| // Compute DFT N = 4 |
| DFT_4(data.s01, data.s23, data.s45, data.s67); |
| |
| // Store four complex output values |
| vstore8(data, 0, (__global float *)output.ptr); |
| } |
| |
| /** Computes the first stage of a radix-4 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_4_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 four complex input values |
| float2 data0 = vload2(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2, 0)); |
| float2 data3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3, 0)); |
| |
| // Compute DFT N = 4 |
| DFT_4(data0, data1, data2, data3); |
| |
| // Store four complex output values |
| vstore2(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 2, 0)); |
| vstore2(data3, 0, (__global float *)tensor3D_offset(&output, 0, 3, 0)); |
| } |
| |
| /** Computes the first stage of a radix-5 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_5_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 five complex input values |
| float8 data0 = vload8(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 4, 0, 0)); |
| |
| // Compute DFT N = 5 |
| DFT_5(data0.s01, data0.s23, data0.s45, data0.s67, data1.s01); |
| |
| // Store five complex output values |
| vstore8(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 4, 0, 0)); |
| } |
| |
| /** Computes the first stage of a radix-5 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_5_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 five complex input values |
| float2 data0 = vload2(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2, 0)); |
| float2 data3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3, 0)); |
| float2 data4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4, 0)); |
| |
| // Compute DFT N = 5 |
| DFT_5(data0, data1, data2, data3, data4); |
| |
| // Store five complex output values |
| vstore2(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 2, 0)); |
| vstore2(data3, 0, (__global float *)tensor3D_offset(&output, 0, 3, 0)); |
| vstore2(data4, 0, (__global float *)tensor3D_offset(&output, 0, 4, 0)); |
| } |
| |
| /** Computes the first stage of a radix-7 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_7_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 seven complex input values |
| float8 data0 = vload8(0, (__global float *)input.ptr); |
| float4 data1 = vload4(0, (__global float *)tensor3D_offset(&input, 4, 0, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 6, 0, 0)); |
| |
| // Compute DFT N = 7 |
| DFT_7(data0.s01, data0.s23, data0.s45, data0.s67, data1.s01, data1.s23, data2.s01); |
| |
| // Store seven complex output values |
| vstore8(data0, 0, (__global float *)output.ptr); |
| vstore4(data1, 0, (__global float *)tensor3D_offset(&output, 4, 0, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 6, 0, 0)); |
| } |
| |
| /** Computes the first stage of a radix-7 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_7_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 seven complex input values |
| float2 data0 = vload2(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2, 0)); |
| float2 data3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3, 0)); |
| float2 data4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4, 0)); |
| float2 data5 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 5, 0)); |
| float2 data6 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 6, 0)); |
| |
| // Compute DFT N = 7 |
| DFT_7(data0, data1, data2, data3, data4, data5, data6); |
| |
| // Store seven complex output values |
| vstore2(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 2, 0)); |
| vstore2(data3, 0, (__global float *)tensor3D_offset(&output, 0, 3, 0)); |
| vstore2(data4, 0, (__global float *)tensor3D_offset(&output, 0, 4, 0)); |
| vstore2(data5, 0, (__global float *)tensor3D_offset(&output, 0, 5, 0)); |
| vstore2(data6, 0, (__global float *)tensor3D_offset(&output, 0, 6, 0)); |
| } |
| |
| /** Computes the first stage of a radix-8 DFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_8_first_stage_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 eight complex input values |
| float16 data = vload16(0, (__global float *)input.ptr); |
| |
| // Compute DFT N = 8 |
| DFT_8(data.s01, data.s23, data.s45, data.s67, data.s89, data.sAB, data.sCD, data.sEF); |
| |
| // Store eight complex output values |
| vstore16(data, 0, (__global float *)output.ptr); |
| } |
| |
| /** Computes the first stage of a radix-8 DFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 fft_radix_8_first_stage_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| ) |
| { |
| // Get tensor pointers |
| 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 eight complex input values |
| float2 data0 = vload2(0, (__global float *)input.ptr); |
| float2 data1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 1, 0)); |
| float2 data2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2, 0)); |
| float2 data3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3, 0)); |
| float2 data4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4, 0)); |
| float2 data5 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 5, 0)); |
| float2 data6 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 6, 0)); |
| float2 data7 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 7, 0)); |
| |
| // Compute DFT N = 8 |
| DFT_8(data0, data1, data2, data3, data4, data5, data6, data7); |
| |
| // Store eight complex output values |
| vstore2(data0, 0, (__global float *)output.ptr); |
| vstore2(data1, 0, (__global float *)tensor3D_offset(&output, 0, 1, 0)); |
| vstore2(data2, 0, (__global float *)tensor3D_offset(&output, 0, 2, 0)); |
| vstore2(data3, 0, (__global float *)tensor3D_offset(&output, 0, 3, 0)); |
| vstore2(data4, 0, (__global float *)tensor3D_offset(&output, 0, 4, 0)); |
| vstore2(data5, 0, (__global float *)tensor3D_offset(&output, 0, 5, 0)); |
| vstore2(data6, 0, (__global float *)tensor3D_offset(&output, 0, 6, 0)); |
| vstore2(data7, 0, (__global float *)tensor3D_offset(&output, 0, 7, 0)); |
| } |
| |
| /** Computes a stage of a radix-2 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_2_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-2 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load two complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| |
| // Compute DFT N = 2 |
| DFT_2(c0, c1); |
| |
| // Store two complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-2 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_2_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-2 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load two complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| |
| // Compute DFT N = 2 |
| DFT_2(c0, c1); |
| |
| // Store two complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| } |
| |
| /** Computes a stage of a radix-3 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_3_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-3 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load three complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 2 * Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| |
| // Compute DFT N = 3 |
| DFT_3(c0, c1, c2); |
| |
| // Store three complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 2 * Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-3 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_3_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-3 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load three complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2 * Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| |
| // Compute DFT N = 3 |
| DFT_3(c0, c1, c2); |
| |
| // Store three complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 0, 2 * Nx, 0)); |
| } |
| |
| /** Computes a stage of a radix-4 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_4_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-4 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load four complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 2 * Nx, 0, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 3 * Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| |
| // Compute DFT N = 4 |
| DFT_4(c0, c1, c2, c3); |
| |
| // Store four complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 2 * Nx, 0, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 3 * Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-4 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_4_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-4 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load four complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2 * Nx, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3 * Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| |
| // Compute DFT N = 4 |
| DFT_4(c0, c1, c2, c3); |
| |
| // Store four complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 0, 2 * Nx, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 0, 3 * Nx, 0)); |
| } |
| |
| /** Computes a stage of a radix-5 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_5_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-5 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load five complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 2 * Nx, 0, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 3 * Nx, 0, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 4 * Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| |
| // Compute DFT N = 5 |
| DFT_5(c0, c1, c2, c3, c4); |
| |
| // Store five complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 2 * Nx, 0, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 3 * Nx, 0, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 4 * Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-5 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_5_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-5 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load five complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2 * Nx, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3 * Nx, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4 * Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| |
| // Compute DFT N = 5 |
| DFT_5(c0, c1, c2, c3, c4); |
| |
| // Store five complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 0, 2 * Nx, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 0, 3 * Nx, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 0, 4 * Nx, 0)); |
| } |
| |
| /** Computes a stage of a radix-7 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_7_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-7 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load seven complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 2 * Nx, 0, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 3 * Nx, 0, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 4 * Nx, 0, 0)); |
| float2 c5 = vload2(0, (__global float *)tensor3D_offset(&input, 5 * Nx, 0, 0)); |
| float2 c6 = vload2(0, (__global float *)tensor3D_offset(&input, 6 * Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| TWIDDLE_FACTOR_MULTIPLICATION(5 * phi, c5); |
| TWIDDLE_FACTOR_MULTIPLICATION(6 * phi, c6); |
| |
| // Compute DFT N = 7 |
| DFT_7(c0, c1, c2, c3, c4, c5, c6); |
| |
| // Store seven complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 2 * Nx, 0, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 3 * Nx, 0, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 4 * Nx, 0, 0)); |
| vstore2(c5, 0, (__global float *)tensor3D_offset(&output, 5 * Nx, 0, 0)); |
| vstore2(c6, 0, (__global float *)tensor3D_offset(&output, 6 * Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-7 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_7_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-7 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load seven complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2 * Nx, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3 * Nx, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4 * Nx, 0)); |
| float2 c5 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 5 * Nx, 0)); |
| float2 c6 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 6 * Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| TWIDDLE_FACTOR_MULTIPLICATION(5 * phi, c5); |
| TWIDDLE_FACTOR_MULTIPLICATION(6 * phi, c6); |
| |
| // Compute DFT N = 7 |
| DFT_7(c0, c1, c2, c3, c4, c5, c6); |
| |
| // Store seven complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 0, 2 * Nx, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 0, 3 * Nx, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 0, 4 * Nx, 0)); |
| vstore2(c5, 0, (__global float *)tensor3D_offset(&output, 0, 5 * Nx, 0)); |
| vstore2(c6, 0, (__global float *)tensor3D_offset(&output, 0, 6 * Nx, 0)); |
| } |
| |
| /** Computes a stage of a radix-8 FFT on axis 0. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_8_axis_0( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-8 |
| uint kx = get_global_id(0); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += n * output.stride_x + get_global_id(1) * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load eight complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, Nx, 0, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 2 * Nx, 0, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 3 * Nx, 0, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 4 * Nx, 0, 0)); |
| float2 c5 = vload2(0, (__global float *)tensor3D_offset(&input, 5 * Nx, 0, 0)); |
| float2 c6 = vload2(0, (__global float *)tensor3D_offset(&input, 6 * Nx, 0, 0)); |
| float2 c7 = vload2(0, (__global float *)tensor3D_offset(&input, 7 * Nx, 0, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| TWIDDLE_FACTOR_MULTIPLICATION(5 * phi, c5); |
| TWIDDLE_FACTOR_MULTIPLICATION(6 * phi, c6); |
| TWIDDLE_FACTOR_MULTIPLICATION(7 * phi, c7); |
| |
| // Compute DFT N = 8 |
| DFT_8(c0, c1, c2, c3, c4, c5, c6, c7); |
| |
| // Store eight complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, Nx, 0, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 2 * Nx, 0, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 3 * Nx, 0, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 4 * Nx, 0, 0)); |
| vstore2(c5, 0, (__global float *)tensor3D_offset(&output, 5 * Nx, 0, 0)); |
| vstore2(c6, 0, (__global float *)tensor3D_offset(&output, 6 * Nx, 0, 0)); |
| vstore2(c7, 0, (__global float *)tensor3D_offset(&output, 7 * Nx, 0, 0)); |
| } |
| |
| /** Computes a stage of a radix-8 FFT on axis 1. |
| * |
| * @note In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time |
| * |
| * @param[in,out] input_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in,out] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in,out] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in,out] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in,out] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in,out] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in,out] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in,out] input_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @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 |
| * @param[in] Nx The butterfly span. Products of radix order of previous radix's stage |
| * @param[in] Ni Nx * Ny. |
| * @param[in] exp_const Exponent constant |
| */ |
| kernel void fft_radix_8_axis_1( |
| TENSOR3D_DECLARATION(input) |
| #ifndef IN_PLACE |
| , |
| TENSOR3D_DECLARATION(output) |
| #endif /* not IN_PLACE */ |
| , |
| uint Nx, uint Ni, float exp_const) |
| { |
| // Each work-item computes a single radix-8 |
| uint kx = get_global_id(1); |
| |
| // Compute nx |
| uint nx = kx % Nx; |
| |
| // Compute n index |
| uint n = nx + (kx / Nx) * Ni; |
| |
| // Get tensor pointers |
| Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input); |
| input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z; |
| #ifdef IN_PLACE |
| Tensor3D output = input; |
| #else /* IN_PLACE */ |
| Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); |
| output.ptr += get_global_id(0) * output.stride_x + n * output.stride_y + get_global_id(2) * output.stride_z; |
| #endif /* IN_PLACE */ |
| |
| // Load eight complex input values |
| float2 c0 = vload2(0, (__global float *)input.ptr); |
| float2 c1 = vload2(0, (__global float *)tensor3D_offset(&input, 0, Nx, 0)); |
| float2 c2 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 2 * Nx, 0)); |
| float2 c3 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 3 * Nx, 0)); |
| float2 c4 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 4 * Nx, 0)); |
| float2 c5 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 5 * Nx, 0)); |
| float2 c6 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 6 * Nx, 0)); |
| float2 c7 = vload2(0, (__global float *)tensor3D_offset(&input, 0, 7 * Nx, 0)); |
| |
| // Compute phi |
| float phi = (float)nx * exp_const; |
| |
| // Multiply by twiddle factor |
| TWIDDLE_FACTOR_MULTIPLICATION(phi, c1); |
| TWIDDLE_FACTOR_MULTIPLICATION(2 * phi, c2); |
| TWIDDLE_FACTOR_MULTIPLICATION(3 * phi, c3); |
| TWIDDLE_FACTOR_MULTIPLICATION(4 * phi, c4); |
| TWIDDLE_FACTOR_MULTIPLICATION(5 * phi, c5); |
| TWIDDLE_FACTOR_MULTIPLICATION(6 * phi, c6); |
| TWIDDLE_FACTOR_MULTIPLICATION(7 * phi, c7); |
| |
| // Compute DFT N = 8 |
| DFT_8(c0, c1, c2, c3, c4, c5, c6, c7); |
| |
| // Store eight complex output values |
| vstore2(c0, 0, (__global float *)output.ptr); |
| vstore2(c1, 0, (__global float *)tensor3D_offset(&output, 0, Nx, 0)); |
| vstore2(c2, 0, (__global float *)tensor3D_offset(&output, 0, 2 * Nx, 0)); |
| vstore2(c3, 0, (__global float *)tensor3D_offset(&output, 0, 3 * Nx, 0)); |
| vstore2(c4, 0, (__global float *)tensor3D_offset(&output, 0, 4 * Nx, 0)); |
| vstore2(c5, 0, (__global float *)tensor3D_offset(&output, 0, 5 * Nx, 0)); |
| vstore2(c6, 0, (__global float *)tensor3D_offset(&output, 0, 6 * Nx, 0)); |
| vstore2(c7, 0, (__global float *)tensor3D_offset(&output, 0, 7 * Nx, 0)); |
| } |
| |
| )" |