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https://github.com/opencv/opencv.git
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Added Elena's changes with implemented DFT_INVERSE C2C mode.
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@ -67,7 +67,7 @@ typedef TestBaseWithParam<DftParams> DftFixture;
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OCL_PERF_TEST_P(DftFixture, Dft, ::testing::Combine(Values(C2C, R2R, C2R, R2C),
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Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3, Size(1024, 1024), Size(512, 512), Size(2048, 2048)),
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Values((int)DFT_ROWS, (int) 0/*, (int)DFT_SCALE, (int)DFT_INVERSE,
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Values((int)DFT_ROWS, (int) 0, (int)DFT_SCALE/*, (int)DFT_INVERSE,
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(int)DFT_INVERSE | DFT_SCALE, (int)DFT_ROWS | DFT_INVERSE*/)))
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{
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const DftParams params = GetParam();
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@ -2129,8 +2129,8 @@ struct OCL_FftPlan
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for (int k=0; k<(n/radix); k++)
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{
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ptr[ptr_index++] = cos(k*theta);
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ptr[ptr_index++] = sin(k*theta);
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ptr[ptr_index++] = (float) cos(k*theta);
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ptr[ptr_index++] = (float) sin(k*theta);
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}
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}
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}
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@ -2152,13 +2152,14 @@ struct OCL_FftPlan
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String kernel_name;
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bool is1d = (flags & DFT_ROWS) != 0 || dft_size == 1;
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bool inv = (flags & DFT_INVERSE) != 0;
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String options = buildOptions;
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if (rows)
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{
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globalsize[0] = thread_count; globalsize[1] = dft_size;
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localsize[0] = thread_count; localsize[1] = 1;
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kernel_name = "fft_multi_radix_rows";
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kernel_name = !inv ? "fft_multi_radix_rows" : "ifft_multi_radix_rows";
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if (is1d && (flags & DFT_SCALE))
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options += " -D DFT_SCALE";
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}
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@ -2166,7 +2167,7 @@ struct OCL_FftPlan
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{
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globalsize[0] = dft_size; globalsize[1] = thread_count;
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localsize[0] = 1; localsize[1] = thread_count;
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kernel_name = "fft_multi_radix_cols";
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kernel_name = !inv ? "fft_multi_radix_cols" : "ifft_multi_radix_cols";
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if (flags & DFT_SCALE)
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options += " -D DFT_SCALE";
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}
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@ -2270,13 +2271,10 @@ static bool ocl_dft(InputArray _src, OutputArray _dst, int flags, int nonzero_ro
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// if output format is not specified
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if (complex_output + real_output == 0)
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{
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if (!inv)
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{
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if (real_input)
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real_output = 1;
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else
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complex_output = 1;
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}
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if (real_input)
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real_output = 1;
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else
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complex_output = 1;
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}
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// Forward Complex to CCS not supported
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@ -2294,23 +2292,7 @@ static bool ocl_dft(InputArray _src, OutputArray _dst, int flags, int nonzero_ro
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real_output = 1;
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}
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UMat input, output;
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if (complex_input)
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{
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input = src;
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}
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else
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{
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if (!inv)
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{
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input = src;
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}
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else
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{
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// TODO: unpack from CCS format
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}
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}
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UMat output;
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if (complex_output)
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{
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_dst.create(src.size(), CV_32FC2);
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@ -2330,7 +2312,7 @@ static bool ocl_dft(InputArray _src, OutputArray _dst, int flags, int nonzero_ro
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}
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}
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if (!ocl_dft_C2C_rows(input, output, nonzero_rows, flags))
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if (!ocl_dft_C2C_rows(src, output, nonzero_rows, flags))
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return false;
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if (!is1d)
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@ -424,4 +424,117 @@ __kernel void fft_multi_radix_cols(__global const uchar* src_ptr, int src_step,
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}
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#endif
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}
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}
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__kernel void ifft_multi_radix_rows(__global const uchar* src_ptr, int src_step, int src_offset, int src_rows, int src_cols,
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__global uchar* dst_ptr, int dst_step, int dst_offset, int dst_rows, int dst_cols,
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__constant float2 * twiddles_ptr, const int t, const int nz)
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{
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const int x = get_global_id(0);
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const int y = get_group_id(1);
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if (y < nz)
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{
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__local float2 smem[LOCAL_SIZE];
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__constant const float2* twiddles = (__constant float2*) twiddles_ptr;
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const int ind = x;
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const int block_size = LOCAL_SIZE/kercn;
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#ifdef IS_1D
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float scale = 1.f/dst_cols;
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#else
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float scale = 1.f/(dst_cols*dst_rows);
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#endif
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#ifndef REAL_INPUT
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__global const float2* src = (__global const float2*)(src_ptr + mad24(y, src_step, mad24(x, (int)(sizeof(float)*2), src_offset)));
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#pragma unroll
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for (int i=0; i<kercn; i++)
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{
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smem[x+i*block_size].x = src[i*block_size].x;
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smem[x+i*block_size].y = -src[i*block_size].y;
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}
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#else
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__global const float2* src = (__global const float2*)(src_ptr + mad24(y, src_step, mad24(1, (int)sizeof(float), src_offset)));
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#pragma unroll
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for (int i=x; i<(LOCAL_SIZE-1)/2; i+=block_size)
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{
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smem[i+1].x = src[i].x;
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smem[i+1].y = -src[i].y;
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smem[LOCAL_SIZE-i-1] = src[i];
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}
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if (x==0)
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{
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smem[0].x = *(__global const float*)(src_ptr + mad24(y, src_step, src_offset));
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smem[0].y = 0.f;
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if(LOCAL_SIZE % 2 ==0)
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{
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smem[LOCAL_SIZE/2].x = src[LOCAL_SIZE/2-1].x;
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smem[LOCAL_SIZE/2].y = 0.f;
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}
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}
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#endif
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barrier(CLK_LOCAL_MEM_FENCE);
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RADIX_PROCESS;
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// copy data to dst
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#ifndef REAL_INPUT
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__global float2* dst = (__global float*)(dst_ptr + mad24(y, dst_step, mad24(x, (int)(sizeof(float)*2), dst_offset)));
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#pragma unroll
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for (int i=0; i<kercn; i++)
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{
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dst[i*block_size].x = VAL(smem[x + i*block_size].x, scale);
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dst[i*block_size].y = VAL(-smem[x + i*block_size].y, scale);
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}
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#else
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__global float* dst = (__global float*)(dst_ptr + mad24(y, dst_step, mad24(x, (int)(sizeof(float)), dst_offset)));
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#pragma unroll
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for (int i=0; i<kercn; i++)
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{
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dst[i*block_size] = smem[x + i*block_size].x;
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}
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#endif
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}
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}
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__kernel void ifft_multi_radix_cols(__global const uchar* src_ptr, int src_step, int src_offset, int src_rows, int src_cols,
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__global uchar* dst_ptr, int dst_step, int dst_offset, int dst_rows, int dst_cols,
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__constant float2 * twiddles_ptr, const int t, const int nz)
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{
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const int x = get_group_id(0);
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const int y = get_global_id(1);
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if (x < nz)
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{
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__local float2 smem[LOCAL_SIZE];
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__global const uchar* src = src_ptr + mad24(y, src_step, mad24(x, (int)(sizeof(float)*2), src_offset));
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__global uchar* dst = dst_ptr + mad24(y, dst_step, mad24(x, (int)(sizeof(float)*2), dst_offset));
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__constant const float2* twiddles = (__constant float2*) twiddles_ptr;
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const int ind = y;
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const int block_size = LOCAL_SIZE/kercn;
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float scale = 1.f/(dst_rows*dst_cols);
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#pragma unroll
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for (int i=0; i<kercn; i++)
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{
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float2 temp = *((__global const float2*)(src + i*block_size*src_step));
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smem[y+i*block_size].x = temp.x;
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smem[y+i*block_size].y = -temp.y;
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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RADIX_PROCESS;
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// copy data to dst
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#pragma unroll
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for (int i=0; i<kercn; i++)
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{
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__global float2* rez = (__global float2*)(dst + i*block_size*src_step);
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rez[0].x = VAL(smem[y + i*block_size].x, scale);
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rez[0].y = VAL(-smem[y + i*block_size].y, scale);
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}
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}
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}
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@ -62,7 +62,7 @@ namespace ocl {
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////////////////////////////////////////////////////////////////////////////
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// Dft
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PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, bool, bool, bool)
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PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, bool, bool, bool, bool)
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{
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cv::Size dft_size;
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int dft_flags, depth, cn, dft_type;
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@ -91,9 +91,9 @@ PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, bool, bool, bool)
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dft_flags |= cv::DFT_ROWS;
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if (GET_PARAM(3))
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dft_flags |= cv::DFT_SCALE;
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//if (GET_PARAM(4))
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// dft_flags |= cv::DFT_INVERSE;
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inplace = GET_PARAM(4);
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if (GET_PARAM(4))
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dft_flags |= cv::DFT_INVERSE;
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inplace = GET_PARAM(5);
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is1d = (dft_flags & DFT_ROWS) != 0 || dft_size.height == 1;
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@ -190,9 +190,10 @@ OCL_INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MulSpectrums, testing::Combine(Bool(),
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OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(6, 4), cv::Size(5, 8), cv::Size(6, 6),
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cv::Size(512, 1), cv::Size(1280, 768)),
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Values((OCL_FFT_TYPE) R2C, (OCL_FFT_TYPE) C2C, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R),
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Values(/*(OCL_FFT_TYPE) R2C, */(OCL_FFT_TYPE) C2C/*, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R*/),
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Bool(), // DFT_ROWS
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Bool(), // DFT_SCALE
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Bool(), // DFT_INVERSE
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Bool() // inplace
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)
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);
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