Methodology: the included graphs measure the accuracy of the forward and backward transforms: an array is generated with random uniform values between -0.5 and 0.5, and the results of its transform are compared with either pyfftw (in long double precision) if available, or scipy if available, or numpy fft. The L2 curve measures the average square norm difference, and the L∞ the maximum difference.
Note: for the R2C inverse transform, the result of the forward transform is used instead of re-using the random array (in order to have a proper half-Hermitian array), contrary to what is done for other transforms. This explains why the IFFT R2C maximum (L∞) errors are larger.
Note 2: some "errors" for DCT may be due to unsupported sizes in VkFFT, which vary depending on the card and language used (amount of shared/local memory). So they just indicate a current limit for the transform sizes rather than a real error.
[Click on the highlighted cells for details and accuracy graphs vs the transform size]
| GPU | backend | transform | ndim | range | radix | dtype | inplace | LUT | norm | time-duration | FAIL | ERROR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| a40 | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-07-28 15h06:43 +00h 03m 33s | 0 | 0 | |||||||
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h10:18 +00h 00m 57s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h14:43 +00h 00m 46s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h15:31 +00h 01m 09s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h16:41 +00h 00m 39s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h17:21 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h17:43 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h18:10 +00h 00m 18s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h18:30 +00h 00m 22s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h18:52 +00h 00m 41s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h19:36 +00h 00m 17s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h19:54 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h20:16 +00h 00m 24s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h20:41 +00h 00m 17s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h20:59 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h21:20 +00h 00m 26s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h21:47 +00h 00m 18s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h22:06 +00h 00m 23s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-28 15h22:29 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h22:59 +00h 00m 48s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h23:49 +00h 00m 48s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h24:38 +00h 03m 29s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h28:08 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h28:48 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h29:15 +00h 00m 47s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h30:03 +00h 00m 13s [ 209 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h30:18 +00h 00m 16s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h30:34 +00h 01m 18s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h31:53 +00h 00m 16s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h32:12 +00h 00m 19s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h32:32 +00h 00m 38s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h33:11 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h33:26 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h33:48 +00h 00m 41s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h34:29 +00h 00m 16s [ 423 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h34:47 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-28 15h35:10 +00h 00m 43s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h35:54 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h36:37 +00h 00m 31s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h37:09 +00h 00m 53s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h38:03 +00h 00m 39s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h38:43 +00h 00m 23s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h39:08 +00h 00m 25s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h39:34 +00h 00m 17s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h39:51 +00h 00m 22s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h40:15 +00h 00m 41s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h40:57 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h41:13 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h41:34 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h42:00 +00h 00m 17s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h42:18 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h42:37 +00h 00m 24s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h43:03 +00h 00m 19s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h43:23 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-28 15h43:46 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h44:15 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h45:01 +00h 00m 47s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h45:49 +00h 01m 48s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h47:38 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h48:23 +00h 00m 27s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h48:51 +00h 00m 38s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h49:31 +00h 00m 16s [ 209 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h49:48 +00h 00m 18s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h50:07 +00h 00m 59s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h51:07 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h51:22 +00h 00m 19s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h51:42 +00h 00m 37s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h52:20 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h52:36 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h52:57 +00h 00m 35s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h53:32 +00h 00m 16s [ 423 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h53:50 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-28 15h54:13 +00h 00m 37s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h54:51 +00h 00m 42s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h55:33 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h56:08 +00h 01m 11s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h57:22 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h58:04 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h58:26 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h58:52 +00h 00m 19s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h59:12 +00h 00m 23s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 15h59:37 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h00:20 +00h 00m 18s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h00:38 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h01:00 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h01:26 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h01:42 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h02:04 +00h 00m 26s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h02:31 +00h 00m 19s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h02:51 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-28 16h03:14 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h03:43 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h04:25 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h05:00 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h05:53 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h06:33 +00h 00m 23s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h06:57 +00h 00m 25s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h07:23 +00h 00m 17s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h07:41 +00h 00m 21s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h08:03 +00h 00m 40s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h08:45 +00h 00m 16s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h09:02 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h09:24 +00h 00m 26s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h09:51 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h10:07 +00h 00m 20s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h10:28 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h10:55 +00h 00m 19s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h11:17 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-28 16h11:40 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h12:12 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h12:55 +00h 00m 35s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h13:33 +00h 01m 09s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h14:43 +00h 00m 37s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h15:21 +00h 00m 23s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-28 16h15:48 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h16:13 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h16:59 +00h 00m 45s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h17:45 +00h 03m 29s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h21:15 +00h 00m 46s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h22:02 +00h 00m 27s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-28 16h22:30 +00h 00m 49s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h23:21 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h24:08 +00h 00m 33s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h24:41 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h25:34 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h26:15 +00h 00m 22s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-28 16h26:38 +00h 00m 25s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h27:04 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h27:51 +00h 00m 44s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h28:36 +00h 01m 49s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h30:26 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h31:10 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-28 16h31:37 +00h 00m 37s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h32:15 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h32:57 +00h 00m 31s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h33:30 +00h 01m 10s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h34:41 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h35:20 +00h 00m 23s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-28 16h35:44 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h36:10 +00h 00m 43s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h36:54 +00h 00m 32s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h37:27 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h38:20 +00h 00m 39s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h39:00 +00h 00m 22s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-28 16h39:23 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 16h39:51 +00h 06m 25s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 16h46:17 +00h 06m 57s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 16h53:15 +00h 04m 41s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 16h57:58 +00h 03m 18s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h01:17 +00h 02m 44s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h04:02 +00h 00m 51s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h04:54 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h05:35 +00h 00m 47s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h06:27 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h07:45 +00h 01m 32s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h09:18 +00h 01m 55s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h11:14 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h12:31 +00h 01m 33s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h14:05 +00h 01m 54s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h16:00 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h17:18 +00h 01m 46s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h19:05 +00h 02m 14s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-28 17h21:20 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 17h22:43 +00h 06m 30s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 17h29:14 +00h 10m 08s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 17h39:23 +00h 14m 44s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 17h54:09 +00h 03m 04s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 17h57:14 +00h 03m 11s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h00:26 +00h 02m 04s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h02:31 +00h 00m 21s [ 550 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h02:54 +00h 00m 23s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h03:18 +00h 02m 44s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h06:03 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h06:48 +00h 00m 52s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h07:42 +00h 02m 33s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h10:16 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h11:01 +00h 00m 52s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h11:54 +00h 02m 33s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h14:32 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h15:23 +00h 01m 03s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-28 18h16:27 +00h 02m 40s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h19:08 +00h 06m 20s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h25:29 +00h 06m 52s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h32:22 +00h 02m 58s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h35:21 +00h 03m 15s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h38:37 +00h 02m 45s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h41:23 +00h 00m 48s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h42:12 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h42:53 +00h 00m 47s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h43:41 +00h 01m 14s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h44:56 +00h 01m 32s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h46:29 +00h 01m 56s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h48:26 +00h 01m 14s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h49:41 +00h 01m 32s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h51:14 +00h 01m 54s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h53:10 +00h 01m 13s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h54:24 +00h 01m 47s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h56:12 +00h 02m 13s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-28 18h58:26 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 18h59:45 +00h 06m 31s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h06:17 +00h 09m 30s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h15:48 +00h 06m 44s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h22:33 +00h 03m 05s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h25:38 +00h 03m 12s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h28:52 +00h 01m 24s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h30:17 +00h 00m 21s [ 550 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h30:39 +00h 00m 24s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h31:04 +00h 02m 00s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h33:05 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h33:50 +00h 00m 53s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h34:44 +00h 01m 54s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h36:39 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h37:24 +00h 00m 53s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h38:18 +00h 01m 53s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h40:12 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h41:03 +00h 01m 02s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-28 19h42:06 +00h 01m 56s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 19h44:04 +00h 06m 22s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 19h50:27 +00h 06m 58s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 19h57:26 +00h 04m 43s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h02:09 +00h 03m 19s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h05:30 +00h 02m 48s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h08:19 +00h 00m 51s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h09:12 +00h 00m 41s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h09:54 +00h 00m 47s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h10:41 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h12:00 +00h 01m 33s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h13:34 +00h 01m 55s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h15:30 +00h 01m 18s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h16:49 +00h 01m 33s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h18:23 +00h 01m 55s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h20:19 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h21:37 +00h 01m 46s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h23:24 +00h 02m 12s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-28 20h25:37 +00h 01m 20s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h26:58 +00h 06m 23s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h33:23 +00h 07m 00s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h40:24 +00h 02m 59s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h43:24 +00h 03m 16s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h46:41 +00h 02m 47s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h49:29 +00h 00m 48s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h50:18 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h51:00 +00h 00m 49s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h51:49 +00h 01m 14s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h53:04 +00h 01m 33s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h54:39 +00h 01m 55s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h56:34 +00h 01m 14s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h57:49 +00h 01m 35s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 20h59:26 +00h 01m 54s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 21h01:21 +00h 01m 13s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-28 21h02:35 +00h 01m 46s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 21h04:22 +00h 02m 14s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-28 21h06:36 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h07:55 +00h 06m 20s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h14:16 +00h 06m 58s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h21:16 +00h 04m 38s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h25:55 +00h 03m 14s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h29:10 +00h 02m 47s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-28 21h31:58 +00h 00m 51s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 21h32:50 +00h 06m 27s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 21h39:19 +00h 10m 01s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 21h49:21 +00h 14m 44s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 22h04:06 +00h 03m 04s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 22h07:11 +00h 03m 11s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-28 22h10:23 +00h 02m 05s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h12:29 +00h 06m 17s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h18:47 +00h 06m 49s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h25:37 +00h 02m 56s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h28:34 +00h 03m 13s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h31:49 +00h 02m 44s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-28 22h34:34 +00h 00m 47s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 22h35:22 +00h 06m 27s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 22h41:51 +00h 09m 26s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 22h51:18 +00h 06m 43s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 22h58:01 +00h 03m 07s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 23h01:10 +00h 03m 12s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-07-28 23h04:23 +00h 01m 24s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h05:48 +00h 06m 22s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h12:12 +00h 06m 54s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h19:07 +00h 04m 40s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h23:47 +00h 03m 14s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h27:03 +00h 02m 47s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-07-28 23h29:50 +00h 00m 51s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h30:45 +00h 06m 23s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h37:09 +00h 06m 55s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h44:05 +00h 02m 57s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h47:03 +00h 03m 14s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h50:18 +00h 02m 45s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-07-28 23h53:05 +00h 00m 48s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-07-28 23h53:54 +00h 02m 09s [ 2740 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-07-28 23h56:04 +00h 02m 12s [ 2740 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-07-28 23h58:17 +00h 02m 10s [ 2740 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-07-29 00h00:28 +00h 03m 16s [ 2740 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-07-29 00h03:45 +00h 02m 37s [ 5848 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-07-29 00h06:24 +00h 02m 39s [ 5848 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-07-29 00h09:04 +00h 02m 39s [ 5848 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-07-29 00h11:45 +00h 02m 47s [ 5848 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-07-29 00h14:33 +00h 00m 49s [ 1184 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-07-29 00h15:23 +00h 00m 50s [ 1184 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-07-29 00h16:15 +00h 00m 50s [ 1184 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-07-29 00h17:05 +00h 01m 04s [ 1184 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-07-29 00h18:10 +00h 00m 43s [ 1223 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-07-29 00h18:54 +00h 00m 44s [ 1223 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-07-29 00h19:39 +00h 00m 43s [ 1223 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-07-29 00h20:22 +00h 00m 44s [ 1223 tests] | 0 | 0 | |