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