diff options
Diffstat (limited to 'third_party/aom/aom_dsp/fft.c')
| -rw-r--r-- | third_party/aom/aom_dsp/fft.c | 219 |
1 files changed, 0 insertions, 219 deletions
diff --git a/third_party/aom/aom_dsp/fft.c b/third_party/aom/aom_dsp/fft.c deleted file mode 100644 index 0ba71cfb3..000000000 --- a/third_party/aom/aom_dsp/fft.c +++ /dev/null @@ -1,219 +0,0 @@ -/* - * Copyright (c) 2018, Alliance for Open Media. All rights reserved - * - * This source code is subject to the terms of the BSD 2 Clause License and - * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License - * was not distributed with this source code in the LICENSE file, you can - * obtain it at www.aomedia.org/license/software. If the Alliance for Open - * Media Patent License 1.0 was not distributed with this source code in the - * PATENTS file, you can obtain it at www.aomedia.org/license/patent. - */ - -#include "aom_dsp/aom_dsp_common.h" -#include "aom_dsp/fft_common.h" - -static INLINE void simple_transpose(const float *A, float *B, int n) { - for (int y = 0; y < n; y++) { - for (int x = 0; x < n; x++) { - B[y * n + x] = A[x * n + y]; - } - } -} - -// The 1d transform is real to complex and packs the complex results in -// a way to take advantage of conjugate symmetry (e.g., the n/2 + 1 real -// components, followed by the n/2 - 1 imaginary components). After the -// transform is done on the rows, the first n/2 + 1 columns are real, and -// the remaining are the imaginary components. After the transform on the -// columns, the region of [0, n/2]x[0, n/2] contains the real part of -// fft of the real columns. The real part of the 2d fft also includes the -// imaginary part of transformed imaginary columns. This function assembles -// the correct outputs while putting the real and imaginary components -// next to each other. -static INLINE void unpack_2d_output(const float *col_fft, float *output, - int n) { - for (int y = 0; y <= n / 2; ++y) { - const int y2 = y + n / 2; - const int y_extra = y2 > n / 2 && y2 < n; - - for (int x = 0; x <= n / 2; ++x) { - const int x2 = x + n / 2; - const int x_extra = x2 > n / 2 && x2 < n; - output[2 * (y * n + x)] = - col_fft[y * n + x] - (x_extra && y_extra ? col_fft[y2 * n + x2] : 0); - output[2 * (y * n + x) + 1] = (y_extra ? col_fft[y2 * n + x] : 0) + - (x_extra ? col_fft[y * n + x2] : 0); - if (y_extra) { - output[2 * ((n - y) * n + x)] = - col_fft[y * n + x] + - (x_extra && y_extra ? col_fft[y2 * n + x2] : 0); - output[2 * ((n - y) * n + x) + 1] = - -(y_extra ? col_fft[y2 * n + x] : 0) + - (x_extra ? col_fft[y * n + x2] : 0); - } - } - } -} - -void aom_fft_2d_gen(const float *input, float *temp, float *output, int n, - aom_fft_1d_func_t tform, aom_fft_transpose_func_t transpose, - aom_fft_unpack_func_t unpack, int vec_size) { - for (int x = 0; x < n; x += vec_size) { - tform(input + x, output + x, n); - } - transpose(output, temp, n); - - for (int x = 0; x < n; x += vec_size) { - tform(temp + x, output + x, n); - } - transpose(output, temp, n); - - unpack(temp, output, n); -} - -static INLINE void store_float(float *output, float input) { *output = input; } -static INLINE float add_float(float a, float b) { return a + b; } -static INLINE float sub_float(float a, float b) { return a - b; } -static INLINE float mul_float(float a, float b) { return a * b; } - -GEN_FFT_2(void, float, float, float, *, store_float); -GEN_FFT_4(void, float, float, float, *, store_float, (float), add_float, - sub_float); -GEN_FFT_8(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); -GEN_FFT_16(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); -GEN_FFT_32(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); - -void aom_fft2x2_float_c(const float *input, float *temp, float *output) { - aom_fft_2d_gen(input, temp, output, 2, aom_fft1d_2_float, simple_transpose, - unpack_2d_output, 1); -} - -void aom_fft4x4_float_c(const float *input, float *temp, float *output) { - aom_fft_2d_gen(input, temp, output, 4, aom_fft1d_4_float, simple_transpose, - unpack_2d_output, 1); -} - -void aom_fft8x8_float_c(const float *input, float *temp, float *output) { - aom_fft_2d_gen(input, temp, output, 8, aom_fft1d_8_float, simple_transpose, - unpack_2d_output, 1); -} - -void aom_fft16x16_float_c(const float *input, float *temp, float *output) { - aom_fft_2d_gen(input, temp, output, 16, aom_fft1d_16_float, simple_transpose, - unpack_2d_output, 1); -} - -void aom_fft32x32_float_c(const float *input, float *temp, float *output) { - aom_fft_2d_gen(input, temp, output, 32, aom_fft1d_32_float, simple_transpose, - unpack_2d_output, 1); -} - -void aom_ifft_2d_gen(const float *input, float *temp, float *output, int n, - aom_fft_1d_func_t fft_single, aom_fft_1d_func_t fft_multi, - aom_fft_1d_func_t ifft_multi, - aom_fft_transpose_func_t transpose, int vec_size) { - // Column 0 and n/2 have conjugate symmetry, so we can directly do the ifft - // and get real outputs. - for (int y = 0; y <= n / 2; ++y) { - output[y * n] = input[2 * y * n]; - output[y * n + 1] = input[2 * (y * n + n / 2)]; - } - for (int y = n / 2 + 1; y < n; ++y) { - output[y * n] = input[2 * (y - n / 2) * n + 1]; - output[y * n + 1] = input[2 * ((y - n / 2) * n + n / 2) + 1]; - } - - for (int i = 0; i < 2; i += vec_size) { - ifft_multi(output + i, temp + i, n); - } - - // For the other columns, since we don't have a full ifft for complex inputs - // we have to split them into the real and imaginary counterparts. - // Pack the real component, then the imaginary components. - for (int y = 0; y < n; ++y) { - for (int x = 1; x < n / 2; ++x) { - output[y * n + (x + 1)] = input[2 * (y * n + x)]; - } - for (int x = 1; x < n / 2; ++x) { - output[y * n + (x + n / 2)] = input[2 * (y * n + x) + 1]; - } - } - for (int y = 2; y < vec_size; y++) { - fft_single(output + y, temp + y, n); - } - // This is the part that can be sped up with SIMD - for (int y = AOMMAX(2, vec_size); y < n; y += vec_size) { - fft_multi(output + y, temp + y, n); - } - - // Put the 0 and n/2 th results in the correct place. - for (int x = 0; x < n; ++x) { - output[x] = temp[x * n]; - output[(n / 2) * n + x] = temp[x * n + 1]; - } - // This rearranges and transposes. - for (int y = 1; y < n / 2; ++y) { - // Fill in the real columns - for (int x = 0; x <= n / 2; ++x) { - output[x + y * n] = - temp[(y + 1) + x * n] + - ((x > 0 && x < n / 2) ? temp[(y + n / 2) + (x + n / 2) * n] : 0); - } - for (int x = n / 2 + 1; x < n; ++x) { - output[x + y * n] = temp[(y + 1) + (n - x) * n] - - temp[(y + n / 2) + ((n - x) + n / 2) * n]; - } - // Fill in the imag columns - for (int x = 0; x <= n / 2; ++x) { - output[x + (y + n / 2) * n] = - temp[(y + n / 2) + x * n] - - ((x > 0 && x < n / 2) ? temp[(y + 1) + (x + n / 2) * n] : 0); - } - for (int x = n / 2 + 1; x < n; ++x) { - output[x + (y + n / 2) * n] = temp[(y + 1) + ((n - x) + n / 2) * n] + - temp[(y + n / 2) + (n - x) * n]; - } - } - for (int y = 0; y < n; y += vec_size) { - ifft_multi(output + y, temp + y, n); - } - transpose(temp, output, n); -} - -GEN_IFFT_2(void, float, float, float, *, store_float); -GEN_IFFT_4(void, float, float, float, *, store_float, (float), add_float, - sub_float); -GEN_IFFT_8(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); -GEN_IFFT_16(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); -GEN_IFFT_32(void, float, float, float, *, store_float, (float), add_float, - sub_float, mul_float); - -void aom_ifft2x2_float_c(const float *input, float *temp, float *output) { - aom_ifft_2d_gen(input, temp, output, 2, aom_fft1d_2_float, aom_fft1d_2_float, - aom_ifft1d_2_float, simple_transpose, 1); -} - -void aom_ifft4x4_float_c(const float *input, float *temp, float *output) { - aom_ifft_2d_gen(input, temp, output, 4, aom_fft1d_4_float, aom_fft1d_4_float, - aom_ifft1d_4_float, simple_transpose, 1); -} - -void aom_ifft8x8_float_c(const float *input, float *temp, float *output) { - aom_ifft_2d_gen(input, temp, output, 8, aom_fft1d_8_float, aom_fft1d_8_float, - aom_ifft1d_8_float, simple_transpose, 1); -} - -void aom_ifft16x16_float_c(const float *input, float *temp, float *output) { - aom_ifft_2d_gen(input, temp, output, 16, aom_fft1d_16_float, - aom_fft1d_16_float, aom_ifft1d_16_float, simple_transpose, 1); -} - -void aom_ifft32x32_float_c(const float *input, float *temp, float *output) { - aom_ifft_2d_gen(input, temp, output, 32, aom_fft1d_32_float, - aom_fft1d_32_float, aom_ifft1d_32_float, simple_transpose, 1); -} |