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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| a100 | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-07-31 22h38:35 +00h 03m 09s | 0 | 0 | |||||||
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h41:46 +00h 00m 55s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h42:42 +00h 00m 42s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h43:25 +00h 01m 02s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h44:29 +00h 00m 56s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h45:26 +00h 00m 40s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h46:07 +00h 00m 40s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h46:48 +00h 00m 28s [ 299 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h47:17 +00h 00m 32s [ 245 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h47:50 +00h 00m 51s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h48:42 +00h 00m 26s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h49:09 +00h 00m 29s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h49:39 +00h 00m 38s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h50:19 +00h 00m 24s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h50:44 +00h 00m 27s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h51:13 +00h 00m 40s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h51:57 +00h 00m 28s [ 488 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h52:26 +00h 00m 32s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h52:59 +00h 00m 36s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h53:37 +00h 00m 56s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h54:34 +00h 00m 53s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h55:28 +00h 02m 32s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h58:01 +00h 00m 52s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h58:55 +00h 00m 36s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h59:32 +00h 00m 46s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h00:19 +00h 00m 22s [ 209 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h00:41 +00h 00m 24s [ 168 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h01:06 +00h 01m 12s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h02:19 +00h 00m 22s [ 424 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h02:42 +00h 00m 28s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h03:11 +00h 01m 02s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h04:14 +00h 00m 23s [ 424 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h04:38 +00h 00m 31s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h05:11 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h05:54 +00h 00m 25s [ 423 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h06:20 +00h 00m 32s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h06:53 +00h 00m 44s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h07:39 +00h 00m 50s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h08:30 +00h 00m 41s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h09:12 +00h 01m 00s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h10:14 +00h 00m 49s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h11:04 +00h 00m 32s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h11:37 +00h 00m 34s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h12:13 +00h 00m 25s [ 299 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h12:39 +00h 00m 30s [ 245 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h13:10 +00h 00m 49s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h13:59 +00h 00m 23s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h14:24 +00h 00m 26s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h14:51 +00h 00m 34s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h15:26 +00h 00m 22s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h15:50 +00h 00m 26s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h16:18 +00h 00m 32s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h16:51 +00h 00m 26s [ 488 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h17:18 +00h 00m 28s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h17:48 +00h 00m 34s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h18:23 +00h 00m 54s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h19:19 +00h 00m 50s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h20:10 +00h 01m 25s [ 168 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h21:37 +00h 00m 49s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h22:27 +00h 00m 32s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h23:01 +00h 00m 44s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h23:46 +00h 00m 21s [ 209 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h24:09 +00h 00m 24s [ 168 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h24:34 +00h 01m 07s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h25:42 +00h 00m 21s [ 424 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h26:05 +00h 00m 26s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h26:32 +00h 00m 45s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h27:18 +00h 00m 21s [ 424 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h27:40 +00h 00m 26s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h28:07 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h28:50 +00h 00m 37s [ 423 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h29:29 +00h 00m 41s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h30:11 +00h 00m 39s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h30:52 +00h 00m 46s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h31:39 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h32:14 +00h 00m 55s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h33:10 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h33:54 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h34:19 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h34:48 +00h 00m 19s [ 299 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h35:08 +00h 00m 24s [ 245 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h35:33 +00h 00m 44s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h36:18 +00h 00m 18s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h36:37 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h36:59 +00h 00m 27s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h37:27 +00h 00m 17s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h37:46 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h38:08 +00h 00m 28s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h38:37 +00h 00m 20s [ 488 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h38:58 +00h 00m 36s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h39:35 +00h 00m 30s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h40:06 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h40:53 +00h 00m 35s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h41:28 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h42:22 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h43:06 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h43:32 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h44:00 +00h 00m 19s [ 299 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h44:21 +00h 00m 24s [ 245 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h44:45 +00h 00m 44s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h45:30 +00h 00m 38s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h46:10 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h46:32 +00h 00m 27s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h47:00 +00h 00m 18s [ 489 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h47:19 +00h 00m 21s [ 349 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h47:41 +00h 00m 27s [ 165 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h48:09 +00h 00m 20s [ 488 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h48:31 +00h 00m 25s [ 348 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h48:56 +00h 00m 30s [ 164 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h49:27 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h50:12 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h50:47 +00h 00m 54s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h51:42 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h52:25 +00h 00m 24s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h52:50 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h53:18 +00h 00m 49s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h54:08 +00h 00m 45s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h54:55 +00h 02m 25s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h57:20 +00h 00m 44s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h58:06 +00h 00m 28s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h58:35 +00h 00m 39s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h59:14 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h00:00 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h00:35 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h01:28 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h02:11 +00h 00m 24s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h02:36 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h03:04 +00h 00m 49s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h03:54 +00h 00m 46s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h04:41 +00h 01m 20s [ 168 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h06:02 +00h 00m 45s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h06:48 +00h 00m 28s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h07:17 +00h 00m 39s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h07:57 +00h 00m 46s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h08:44 +00h 00m 35s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h09:20 +00h 00m 55s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h10:15 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h10:59 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h11:25 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h11:53 +00h 00m 46s [ 1847 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h12:40 +00h 00m 34s [ 512 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h13:15 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h14:09 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h14:53 +00h 00m 25s [ 368 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h15:19 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h15:47 +00h 07m 31s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h23:20 +00h 07m 15s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h30:35 +00h 03m 12s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h33:48 +00h 03m 40s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h37:29 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h40:28 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h41:19 +00h 00m 43s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h42:03 +00h 00m 50s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h42:53 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h44:11 +00h 01m 36s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h45:49 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h47:49 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h49:07 +00h 01m 36s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h50:44 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h52:44 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h54:02 +00h 01m 49s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h55:52 +00h 02m 17s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h58:10 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 00h59:32 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h06:30 +00h 09m 43s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h16:14 +00h 09m 51s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h26:07 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h29:28 +00h 03m 24s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h32:53 +00h 01m 30s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h34:24 +00h 00m 24s [ 550 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h34:49 +00h 00m 26s [ 343 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h35:16 +00h 02m 08s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h37:25 +00h 00m 48s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h38:14 +00h 00m 56s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h39:11 +00h 01m 59s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h41:11 +00h 00m 47s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h42:00 +00h 00m 56s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h42:57 +00h 02m 00s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h44:58 +00h 00m 54s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h45:53 +00h 01m 06s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h47:00 +00h 02m 03s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 01h49:05 +00h 07m 31s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 01h56:38 +00h 07m 14s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h03:53 +00h 02m 39s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h06:33 +00h 03m 40s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h10:14 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h13:13 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h14:04 +00h 00m 43s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h14:48 +00h 00m 50s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h15:40 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h16:58 +00h 01m 36s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h18:35 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h20:35 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h21:53 +00h 01m 36s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h23:30 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h25:29 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h26:47 +00h 01m 49s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h28:37 +00h 02m 17s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h30:55 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h32:17 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h39:15 +00h 09m 42s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h48:58 +00h 04m 26s [ 343 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h53:25 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h56:47 +00h 03m 25s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h00:13 +00h 01m 19s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h01:33 +00h 00m 24s [ 550 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h01:58 +00h 00m 27s [ 343 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h02:26 +00h 01m 58s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h04:25 +00h 00m 48s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h05:14 +00h 00m 55s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h06:10 +00h 01m 52s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h08:03 +00h 00m 47s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h08:52 +00h 00m 56s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h09:49 +00h 01m 53s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h11:43 +00h 00m 53s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h12:37 +00h 01m 06s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h13:45 +00h 01m 57s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h15:42 +00h 07m 36s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h23:20 +00h 07m 20s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h30:41 +00h 03m 14s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h33:56 +00h 03m 42s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h37:39 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h40:39 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h41:30 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h42:15 +00h 00m 50s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h43:06 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h44:24 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h46:02 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h48:02 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h49:20 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h50:57 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h52:58 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h54:16 +00h 01m 49s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h56:07 +00h 02m 18s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h58:25 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 03h59:48 +00h 07m 36s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h07:25 +00h 07m 19s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h14:45 +00h 02m 38s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h17:25 +00h 03m 42s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h21:08 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h24:09 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h25:01 +00h 00m 43s [ 1200 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h25:45 +00h 00m 50s [ 778 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h26:36 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h27:54 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h29:32 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h31:33 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h32:51 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h34:29 +00h 01m 59s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h36:29 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h37:47 +00h 01m 49s [ 2579 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h39:37 +00h 02m 17s [ 1697 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h41:55 +00h 01m 20s [ 334 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 04h43:17 +00h 07m 31s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 04h50:49 +00h 07m 15s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 04h58:05 +00h 03m 10s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h01:16 +00h 03m 39s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h04:57 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h07:55 +00h 00m 49s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h08:45 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h15:42 +00h 09m 43s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h25:26 +00h 09m 52s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h35:19 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h38:39 +00h 03m 23s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h42:04 +00h 01m 30s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 05h43:35 +00h 07m 31s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 05h51:07 +00h 07m 14s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 05h58:22 +00h 02m 39s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h01:02 +00h 03m 39s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h04:42 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h07:41 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h08:32 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h15:29 +00h 09m 42s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h25:12 +00h 04m 26s [ 343 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h29:40 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h33:01 +00h 03m 25s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h36:27 +00h 01m 18s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 06h37:46 +00h 07m 36s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 06h45:23 +00h 07m 19s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 06h52:43 +00h 03m 13s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 06h55:57 +00h 03m 41s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 06h59:40 +00h 02m 59s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h02:40 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h03:31 +00h 07m 36s [ 9267 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h11:08 +00h 07m 18s [ 3987 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h18:27 +00h 02m 40s [ 374 tests] | 0 | 0 | |
| a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h21:08 +00h 03m 42s [ 4463 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h24:51 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h27:52 +00h 00m 50s [ 157 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-08-01 07h28:43 +00h 02m 13s [ 2740 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-08-01 07h30:57 +00h 02m 17s [ 2740 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-08-01 07h33:16 +00h 02m 13s [ 2740 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-08-01 07h35:30 +00h 03m 16s [ 2740 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-08-01 07h38:46 +00h 02m 42s [ 5848 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-08-01 07h41:30 +00h 02m 44s [ 5848 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-08-01 07h44:15 +00h 02m 42s [ 5848 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-08-01 07h46:58 +00h 02m 51s [ 5848 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-08-01 07h49:51 +00h 00m 53s [ 1184 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-08-01 07h50:44 +00h 00m 54s [ 1184 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-08-01 07h51:40 +00h 00m 53s [ 1184 tests] | 0 | 0 | |
| a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-08-01 07h52:34 +00h 01m 05s [ 1184 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-08-01 07h53:41 +00h 00m 45s [ 1223 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-08-01 07h54:27 +00h 00m 46s [ 1223 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-08-01 07h55:14 +00h 00m 45s [ 1223 tests] | 0 | 0 | |
| a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-08-01 07h56:00 +00h 00m 47s [ 1223 tests] | 0 | 0 | |