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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| h100 | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-09-14 10h15:50 +00h 14m 24s | 0 | 0 | |||||||
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h30:15 +00h 00m 40s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h30:57 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h31:22 +00h 00m 32s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h31:55 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h32:36 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h32:56 +00h 00m 19s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h33:16 +00h 00m 16s [ 299 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h33:33 +00h 00m 20s [ 245 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h33:54 +00h 00m 37s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h34:32 +00h 00m 14s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h34:48 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h35:06 +00h 00m 20s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h35:27 +00h 00m 14s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h35:42 +00h 00m 17s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h36:01 +00h 00m 20s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h36:22 +00h 00m 17s [ 488 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h36:40 +00h 00m 21s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-09-14 10h37:01 +00h 00m 23s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h37:25 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h38:07 +00h 00m 28s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h38:36 +00h 01m 06s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h39:43 +00h 00m 37s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h40:20 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h40:42 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h41:06 +00h 00m 14s [ 209 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h41:21 +00h 00m 16s [ 168 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h41:38 +00h 00m 55s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h42:35 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h42:49 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h43:08 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h43:34 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h43:49 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h44:08 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h44:34 +00h 00m 16s [ 423 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h44:51 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-09-14 10h45:14 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h45:42 +00h 00m 40s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h46:23 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h46:49 +00h 00m 31s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h47:21 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h48:01 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h48:22 +00h 00m 20s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h48:43 +00h 00m 16s [ 299 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h49:00 +00h 00m 20s [ 245 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h49:21 +00h 00m 37s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h49:59 +00h 00m 14s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h50:14 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h50:32 +00h 00m 20s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h50:54 +00h 00m 14s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h51:09 +00h 00m 17s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h51:27 +00h 00m 20s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h51:48 +00h 00m 17s [ 488 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h52:06 +00h 00m 21s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-09-14 10h52:28 +00h 00m 23s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h52:51 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h53:33 +00h 00m 28s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h54:02 +00h 00m 40s [ 168 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h54:43 +00h 00m 37s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h55:21 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h55:42 +00h 00m 25s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h56:08 +00h 00m 14s [ 209 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h56:23 +00h 00m 16s [ 168 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h56:40 +00h 00m 52s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h57:33 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h57:48 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h58:07 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h58:33 +00h 00m 14s [ 424 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h58:47 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h59:07 +00h 00m 25s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h59:33 +00h 00m 16s [ 423 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 10h59:50 +00h 00m 22s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-09-14 11h00:12 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h00:41 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h01:23 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h01:50 +00h 00m 32s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h02:23 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h03:05 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h03:26 +00h 00m 20s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h03:47 +00h 00m 16s [ 299 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h04:04 +00h 00m 20s [ 245 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h04:25 +00h 00m 38s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h05:04 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h05:20 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h05:38 +00h 00m 21s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h06:00 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h06:15 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h06:34 +00h 00m 21s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h06:56 +00h 00m 17s [ 488 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h07:14 +00h 00m 21s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-09-14 11h07:36 +00h 00m 23s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h08:00 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h08:42 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h09:09 +00h 00m 31s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h09:40 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h10:22 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h10:44 +00h 00m 20s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h11:04 +00h 00m 16s [ 299 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h11:22 +00h 00m 20s [ 245 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h11:43 +00h 00m 38s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h12:21 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h12:37 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h12:56 +00h 00m 21s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h13:17 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h13:33 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h13:51 +00h 00m 21s [ 165 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h14:13 +00h 00m 18s [ 488 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h14:31 +00h 00m 21s [ 348 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-09-14 11h14:53 +00h 00m 23s [ 164 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h15:17 +00h 00m 40s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h15:58 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h16:24 +00h 00m 32s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h16:56 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h17:37 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-09-14 11h17:58 +00h 00m 19s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h18:18 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h19:00 +00h 00m 28s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h19:29 +00h 01m 06s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h20:36 +00h 00m 36s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h21:13 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-09-14 11h21:35 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h22:00 +00h 00m 40s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h22:41 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h23:07 +00h 00m 30s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h23:38 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h24:18 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-09-14 11h24:39 +00h 00m 20s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h24:59 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h25:41 +00h 00m 28s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h26:10 +00h 00m 40s [ 168 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h26:51 +00h 00m 37s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h27:28 +00h 00m 21s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-09-14 11h27:50 +00h 00m 25s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h28:16 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h28:58 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h29:24 +00h 00m 32s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h29:57 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h30:39 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-09-14 11h31:00 +00h 00m 19s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h31:21 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h32:03 +00h 00m 25s [ 512 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h32:29 +00h 00m 31s [ 175 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h33:01 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h33:43 +00h 00m 20s [ 368 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-09-14 11h34:04 +00h 00m 20s [ 118 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h34:24 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h41:14 +00h 05m 40s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h46:56 +00h 02m 06s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h49:02 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h52:23 +00h 02m 31s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h54:55 +00h 00m 36s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h55:32 +00h 00m 36s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h56:10 +00h 00m 42s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h56:52 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h57:53 +00h 01m 22s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 11h59:16 +00h 01m 42s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h00:58 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h01:59 +00h 01m 22s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h03:22 +00h 01m 42s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h05:04 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h06:05 +00h 01m 34s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h07:40 +00h 02m 00s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-09-14 12h09:41 +00h 01m 04s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h10:46 +00h 06m 02s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h16:49 +00h 06m 12s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h23:02 +00h 05m 21s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h28:24 +00h 03m 01s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h31:26 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h34:01 +00h 01m 02s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h35:04 +00h 00m 20s [ 550 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h35:25 +00h 00m 23s [ 343 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h35:49 +00h 01m 40s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h37:30 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h38:11 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h39:00 +00h 01m 31s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h40:32 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h41:13 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h42:02 +00h 01m 31s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h43:34 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h44:21 +00h 00m 58s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-09-14 12h45:20 +00h 01m 36s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 12h46:57 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 12h53:47 +00h 05m 40s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 12h59:28 +00h 01m 34s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h01:02 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h04:23 +00h 02m 32s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h06:56 +00h 00m 37s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h07:34 +00h 00m 37s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h08:11 +00h 00m 42s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h08:54 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h09:55 +00h 01m 22s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h11:17 +00h 01m 42s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h13:00 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h14:01 +00h 01m 22s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h15:24 +00h 01m 42s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h17:06 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h18:07 +00h 01m 34s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h19:42 +00h 02m 00s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-09-14 13h21:43 +00h 01m 05s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h22:49 +00h 06m 02s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h28:51 +00h 06m 12s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h35:04 +00h 02m 27s [ 343 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h37:32 +00h 03m 01s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h40:34 +00h 02m 35s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h43:10 +00h 00m 51s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h44:02 +00h 00m 20s [ 550 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h44:24 +00h 00m 23s [ 343 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h44:47 +00h 01m 29s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h46:17 +00h 00m 41s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h46:58 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h47:47 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h49:08 +00h 00m 40s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h49:49 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h50:38 +00h 01m 20s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h51:59 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h52:46 +00h 00m 58s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-09-14 13h53:45 +00h 01m 25s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 13h55:11 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h02:08 +00h 05m 44s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h07:53 +00h 02m 06s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h10:00 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h13:24 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h15:59 +00h 00m 36s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h16:36 +00h 00m 37s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h17:14 +00h 00m 42s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h17:57 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h18:58 +00h 01m 23s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h20:22 +00h 01m 42s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h22:06 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h23:07 +00h 01m 23s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h24:31 +00h 01m 43s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h26:14 +00h 01m 01s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h27:16 +00h 01m 35s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h28:52 +00h 02m 01s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-09-14 14h30:53 +00h 01m 04s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h31:58 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h38:55 +00h 05m 44s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h44:40 +00h 01m 34s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h46:16 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h49:40 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h52:15 +00h 00m 37s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h52:52 +00h 00m 37s [ 1200 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h53:30 +00h 00m 42s [ 778 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h54:13 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h55:14 +00h 01m 23s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h56:38 +00h 01m 43s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h58:22 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 14h59:23 +00h 01m 23s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 15h00:47 +00h 01m 43s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 15h02:31 +00h 01m 00s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-09-14 15h03:32 +00h 01m 35s [ 2579 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 15h05:07 +00h 02m 00s [ 1697 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-09-14 15h07:09 +00h 01m 05s [ 334 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h08:14 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h15:04 +00h 05m 40s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h20:45 +00h 02m 06s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h22:51 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h26:12 +00h 02m 31s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-09-14 15h28:44 +00h 00m 36s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h29:22 +00h 06m 02s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h35:24 +00h 06m 12s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h41:37 +00h 05m 19s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h46:56 +00h 03m 01s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h49:58 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-09-14 15h52:33 +00h 01m 02s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 15h53:35 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 16h00:25 +00h 05m 39s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 16h06:06 +00h 01m 34s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 16h07:41 +00h 03m 20s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 16h11:02 +00h 02m 32s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-09-14 16h13:34 +00h 00m 36s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h14:11 +00h 06m 02s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h20:14 +00h 06m 11s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h26:26 +00h 02m 27s [ 343 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h28:54 +00h 03m 00s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h31:56 +00h 02m 36s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-09-14 16h34:32 +00h 00m 52s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h35:25 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h42:21 +00h 05m 44s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h48:07 +00h 02m 06s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h50:14 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h53:38 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-09-14 16h56:12 +00h 00m 36s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-09-14 16h56:49 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-09-14 17h03:46 +00h 05m 44s [ 3987 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-09-14 17h09:31 +00h 01m 35s [ 374 tests] | 0 | 0 | |
| h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-09-14 17h11:07 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-09-14 17h14:30 +00h 02m 34s [ 1882 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-09-14 17h17:05 +00h 00m 37s [ 157 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-09-14 17h17:43 +00h 01m 32s [ 2740 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-09-14 17h19:16 +00h 01m 34s [ 2740 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-09-14 17h20:51 +00h 01m 32s [ 2740 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-09-14 17h22:24 +00h 01m 49s [ 2740 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-09-14 17h24:13 +00h 01m 56s [ 5848 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-09-14 17h26:10 +00h 01m 57s [ 5848 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-09-14 17h28:08 +00h 01m 56s [ 5848 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-09-14 17h30:05 +00h 02m 01s [ 5848 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-09-14 17h32:07 +00h 00m 42s [ 1184 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-09-14 17h32:50 +00h 00m 44s [ 1184 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-09-14 17h33:35 +00h 00m 43s [ 1184 tests] | 0 | 0 | |
| h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-09-14 17h34:19 +00h 00m 46s [ 1184 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-09-14 17h35:06 +00h 00m 35s [ 1223 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-09-14 17h35:41 +00h 00m 35s [ 1223 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-09-14 17h36:17 +00h 00m 34s [ 1223 tests] | 0 | 0 | |
| h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-09-14 17h36:52 +00h 00m 36s [ 1223 tests] | 0 | 0 | |