COMPMID-1959: Implements 2D FFT on OpenCL

Change-Id: I73cf3984a5463acc854c8a59dc2bd9a5234cd99c
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/936
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
diff --git a/src/core/CL/cl_kernels/fft_digit_reverse.cl b/src/core/CL/cl_kernels/fft_digit_reverse.cl
new file mode 100644
index 0000000..040c284
--- /dev/null
+++ b/src/core/CL/cl_kernels/fft_digit_reverse.cl
@@ -0,0 +1,148 @@
+/*
+ * 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.
+ */
+#include "helpers.h"
+
+#if defined(VEC_SIZE)
+/** Computes the digit reverse stage on axis X
+ *
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: F32
+ * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
+ * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
+ * @param[in]  src_step_y                        src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] dst_ptr                           Pointer to the destination tensor. Supported data types: same as @p src_ptr
+ * @param[in]  dst_stride_x                      Stride of the destination tensor in X dimension (in bytes)
+ * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  dst_stride_y                      Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in]  dst_step_y                        dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  dst_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  dst_step_z                        dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ * @param[in]  idx_ptr                           Pointer to the index tensor. Supported data types: U32
+ * @param[in]  idx_stride_x                      Stride of the index tensor in X dimension (in bytes)
+ * @param[in]  idx_step_x                        idx_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  idx_offset_first_element_in_bytes The offset of the first element in the index tensor
+ */
+__kernel void fft_digit_reverse_axis_0(
+    TENSOR3D_DECLARATION(src),
+    TENSOR3D_DECLARATION(dst),
+    VECTOR_DECLARATION(idx))
+{
+    // Get tensor pointers
+    Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(src);
+    Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+    Vector   idx = CONVERT_TO_VECTOR_STRUCT(idx);
+
+    const unsigned int iidx = *((__global uint *)(idx.ptr));
+
+    // Load data
+#if VEC_SIZE == 1
+    float data = *((__global float *)tensor3D_offset(&src, iidx, get_global_id(1), get_global_id(2)));
+#elif VEC_SIZE == 2
+    float2 data = vload2(0, (__global float *)tensor3D_offset(&src, iidx, get_global_id(1), get_global_id(2)));
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+    // Create result
+#if VEC_SIZE == 1
+    float2 res = { data, 0 };
+#elif VEC_SIZE == 2
+    float2 res  = data;
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+    // Store result
+#if defined(CONJ)
+    vstore2((float2)(res.s0, -res.s1), 0, (__global float *)dst.ptr);
+#else  // defined(CONJ)
+    vstore2(res, 0, (__global float *)dst.ptr);
+#endif // defined(CONJ)
+}
+
+/** Computes the digit reverse stage on axis Y
+ *
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: F32
+ * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
+ * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
+ * @param[in]  src_step_y                        src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] dst_ptr                           Pointer to the destination tensor. Supported data types: same as @p src_ptr
+ * @param[in]  dst_stride_x                      Stride of the destination tensor in X dimension (in bytes)
+ * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  dst_stride_y                      Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in]  dst_step_y                        dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  dst_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  dst_step_z                        dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ * @param[in]  idx_ptr                           Pointer to the index tensor. Supported data types: U32
+ * @param[in]  idx_stride_x                      Stride of the index tensor in X dimension (in bytes)
+ * @param[in]  idx_step_x                        idx_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  idx_offset_first_element_in_bytes The offset of the first element in the index tensor
+ */
+__kernel void fft_digit_reverse_axis_1(
+    TENSOR3D_DECLARATION(src),
+    TENSOR3D_DECLARATION(dst),
+    VECTOR_DECLARATION(idx))
+{
+    // Get tensor pointers
+    Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(src);
+    Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+    Vector   idx = CONVERT_TO_VECTOR_STRUCT_NO_STEP(idx);
+
+    const unsigned int iidx = *((__global uint *)vector_offset(&idx, (int)(get_global_id(1))));
+
+    // Load data
+#if VEC_SIZE == 1
+    float data = *((__global float *)tensor3D_offset(&src, get_global_id(0), iidx, get_global_id(2)));
+#elif VEC_SIZE == 2
+    float2 data = vload2(0, (__global float *)tensor3D_offset(&src, get_global_id(0), iidx, get_global_id(2)));
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+    // Create result
+#if VEC_SIZE == 1
+    float2 res = { data, 0 };
+#elif VEC_SIZE == 2
+    float2 res  = data;
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+    // Store result
+#if defined(CONJ)
+    vstore2((float2)(res.s0, -res.s1), 0, (__global float *)dst.ptr);
+#else  // defined(CONJ)
+    vstore2(res, 0, (__global float *)dst.ptr);
+#endif // defined(CONJ)
+}
+#endif // defined(VEC_SIZE)
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