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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
- | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-01-20 17h59:10 +00h 17m 29s | 0 | 0 | |||||||
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h16:40 +00h 02m 33s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h19:15 +00h 01m 27s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h20:43 +00h 04m 16s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h25:00 +00h 02m 06s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h27:08 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h28:04 +00h 01m 03s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h29:08 +00h 00m 38s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h29:47 +00h 00m 54s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h30:42 +00h 02m 09s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h32:52 +00h 00m 29s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h33:22 +00h 00m 43s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h34:06 +00h 01m 01s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h35:09 +00h 00m 29s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h35:39 +00h 00m 42s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h36:23 +00h 01m 00s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h37:24 +00h 00m 39s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h38:05 +00h 00m 55s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h39:01 +00h 01m 10s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h40:13 +00h 02m 49s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h43:03 +00h 01m 52s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h44:56 +00h 11m 01s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h55:59 +00h 02m 30s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h58:30 +00h 01m 05s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h59:36 +00h 02m 31s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h02:09 +00h 00m 25s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h02:35 +00h 00m 35s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h03:11 +00h 04m 46s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h07:58 +00h 00m 27s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h08:26 +00h 00m 45s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h09:12 +00h 01m 52s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h11:06 +00h 00m 42s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h11:49 +00h 00m 46s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h12:36 +00h 02m 05s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h14:42 +00h 00m 53s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h15:36 +00h 01m 00s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h16:37 +00h 02m 16s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h18:54 +00h 02m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h21:16 +00h 01m 25s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h22:42 +00h 02m 15s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h24:58 +00h 02m 07s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h27:06 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h28:03 +00h 00m 56s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h29:00 +00h 00m 49s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h29:50 +00h 00m 53s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h30:44 +00h 02m 15s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h33:01 +00h 00m 30s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h33:31 +00h 00m 43s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h34:15 +00h 01m 00s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h35:16 +00h 00m 29s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h35:46 +00h 00m 43s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h36:30 +00h 00m 56s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h37:28 +00h 00m 40s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h38:09 +00h 00m 55s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h39:05 +00h 01m 06s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h40:12 +00h 02m 49s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h43:02 +00h 01m 47s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h44:50 +00h 05m 06s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h49:58 +00h 02m 31s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h52:30 +00h 01m 04s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h53:35 +00h 01m 28s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h55:04 +00h 00m 30s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h55:35 +00h 00m 36s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h56:12 +00h 03m 06s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h59:19 +00h 00m 35s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h59:55 +00h 00m 54s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h00:50 +00h 01m 14s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h02:06 +00h 00m 27s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h02:34 +00h 00m 50s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h03:25 +00h 01m 12s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h04:39 +00h 00m 59s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h05:38 +00h 00m 58s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 20h06:38 +00h 01m 26s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h08:05 +00h 02m 25s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h10:31 +00h 01m 28s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h12:01 +00h 04m 15s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h16:17 +00h 02m 08s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h18:27 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h19:24 +00h 01m 04s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h20:29 +00h 00m 38s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h21:08 +00h 00m 54s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h22:02 +00h 02m 12s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h24:15 +00h 00m 31s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h24:47 +00h 00m 44s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h25:32 +00h 01m 00s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h26:34 +00h 00m 31s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h27:06 +00h 00m 44s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h27:51 +00h 01m 01s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h28:53 +00h 00m 40s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h29:34 +00h 00m 56s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 20h30:31 +00h 01m 26s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h31:59 +00h 02m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h34:24 +00h 01m 26s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h35:52 +00h 02m 14s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h38:07 +00h 02m 20s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h40:28 +00h 00m 57s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h41:26 +00h 00m 56s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h42:24 +00h 00m 38s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h43:03 +00h 00m 53s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h43:58 +00h 02m 04s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h46:02 +00h 00m 31s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h46:34 +00h 00m 43s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h47:19 +00h 01m 00s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h48:20 +00h 00m 31s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h48:51 +00h 00m 44s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h49:37 +00h 00m 58s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h50:36 +00h 00m 40s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h51:17 +00h 00m 55s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 20h52:14 +00h 01m 07s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 20h53:21 +00h 02m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 20h55:43 +00h 01m 26s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 20h57:10 +00h 04m 17s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 21h01:28 +00h 02m 08s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 21h03:38 +00h 00m 55s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 21h04:34 +00h 01m 02s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h05:37 +00h 02m 48s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h08:26 +00h 01m 52s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h10:19 +00h 10m 59s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h21:19 +00h 02m 29s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h23:49 +00h 01m 04s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 21h24:55 +00h 02m 33s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h27:29 +00h 02m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h29:51 +00h 01m 24s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h31:16 +00h 02m 16s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h33:33 +00h 02m 07s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h35:41 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 21h36:38 +00h 00m 55s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h37:35 +00h 02m 48s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h40:24 +00h 01m 46s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h42:11 +00h 04m 53s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h47:05 +00h 02m 30s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h49:36 +00h 01m 03s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 21h50:41 +00h 01m 53s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 21h52:35 +00h 02m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 21h55:00 +00h 01m 28s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 21h56:29 +00h 04m 18s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 22h00:48 +00h 02m 08s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 22h02:57 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 22h03:55 +00h 01m 03s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h04:59 +00h 02m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h07:24 +00h 01m 26s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h08:50 +00h 02m 13s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h11:04 +00h 02m 08s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h13:14 +00h 00m 56s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 22h14:11 +00h 00m 54s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 22h15:07 +00h 25m 09s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 22h40:17 +00h 27m 44s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h08:02 +00h 18m 57s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h27:00 +00h 12m 24s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h39:25 +00h 10m 52s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h50:18 +00h 03m 00s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h53:20 +00h 02m 15s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h55:36 +00h 02m 53s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 23h58:30 +00h 04m 20s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h02:52 +00h 05m 37s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h08:30 +00h 07m 10s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h15:41 +00h 04m 14s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h19:56 +00h 05m 37s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h25:35 +00h 07m 08s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h32:44 +00h 04m 16s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h37:01 +00h 06m 21s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h43:23 +00h 08m 12s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-21 00h51:36 +00h 04m 27s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 00h56:04 +00h 29m 06s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 01h25:12 +00h 35m 16s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 02h00:29 +00h 50m 59s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 02h51:30 +00h 12m 47s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h04:18 +00h 12m 28s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h16:47 +00h 07m 24s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h24:12 +00h 00m 58s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h25:12 +00h 01m 05s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h26:18 +00h 10m 07s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h36:26 +00h 02m 27s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h38:54 +00h 03m 01s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h41:56 +00h 09m 19s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h51:16 +00h 02m 28s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h53:45 +00h 02m 59s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 03h56:45 +00h 09m 24s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 04h06:10 +00h 02m 46s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 04h08:57 +00h 03m 31s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-21 04h12:29 +00h 09m 41s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 04h22:11 +00h 25m 09s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 04h47:21 +00h 27m 11s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h14:34 +00h 08m 59s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h23:34 +00h 12m 24s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h35:59 +00h 10m 49s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h46:50 +00h 02m 18s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h49:09 +00h 02m 15s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h51:25 +00h 02m 37s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h54:04 +00h 04m 16s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 05h58:21 +00h 05m 37s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h03:59 +00h 07m 08s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h11:08 +00h 04m 06s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h15:15 +00h 05m 37s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h20:54 +00h 07m 09s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h28:03 +00h 04m 05s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h32:10 +00h 06m 22s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h38:33 +00h 08m 10s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-21 06h46:44 +00h 04m 19s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 06h51:04 +00h 29m 06s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 07h20:11 +00h 34m 14s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 07h54:26 +00h 21m 56s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h16:23 +00h 12m 47s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h29:10 +00h 12m 15s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h41:27 +00h 04m 03s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h45:32 +00h 00m 58s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h46:30 +00h 01m 06s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h47:38 +00h 06m 20s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h53:59 +00h 02m 28s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h56:28 +00h 02m 58s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 08h59:28 +00h 05m 36s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h05:05 +00h 02m 28s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h07:34 +00h 02m 59s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h10:34 +00h 05m 33s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h16:08 +00h 02m 46s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h18:55 +00h 03m 31s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-21 09h22:27 +00h 05m 44s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 09h28:12 +00h 25m 25s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 09h53:38 +00h 27m 47s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 10h21:26 +00h 18m 48s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 10h40:15 +00h 12m 30s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 10h52:46 +00h 11m 00s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h03:47 +00h 02m 47s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h06:35 +00h 02m 16s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h08:52 +00h 02m 37s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h11:31 +00h 04m 28s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h16:00 +00h 05m 39s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h21:40 +00h 07m 11s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h28:52 +00h 04m 17s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h33:10 +00h 05m 40s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h38:51 +00h 07m 11s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h46:04 +00h 04m 16s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h50:21 +00h 06m 23s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 11h56:45 +00h 08m 12s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 12h04:58 +00h 04m 25s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 12h09:25 +00h 25m 24s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 12h34:51 +00h 27m 27s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h02:19 +00h 09m 02s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h11:22 +00h 12m 29s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h23:53 +00h 10m 53s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h34:47 +00h 02m 23s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h37:11 +00h 02m 16s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h39:28 +00h 02m 38s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h42:07 +00h 04m 17s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h46:25 +00h 05m 39s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h52:06 +00h 07m 09s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 13h59:16 +00h 04m 06s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h03:23 +00h 05m 39s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h09:04 +00h 07m 10s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h16:15 +00h 04m 05s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h20:21 +00h 06m 23s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h26:45 +00h 08m 11s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 14h34:57 +00h 04m 12s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 14h39:11 +00h 25m 09s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 15h04:21 +00h 27m 41s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 15h32:03 +00h 18m 47s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 15h50:52 +00h 12m 22s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 16h03:15 +00h 10m 51s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 16h14:08 +00h 02m 46s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 16h16:55 +00h 29m 05s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 16h46:01 +00h 35m 13s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 17h21:15 +00h 49m 11s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 18h10:27 +00h 12m 47s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 18h23:16 +00h 12m 24s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 18h35:41 +00h 07m 26s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 18h43:09 +00h 25m 09s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 19h08:19 +00h 27m 14s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 19h35:34 +00h 09m 15s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 19h44:51 +00h 12m 24s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 19h57:15 +00h 10m 51s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 20h08:07 +00h 02m 25s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 20h10:34 +00h 29m 05s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 20h39:40 +00h 34m 08s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 21h13:49 +00h 21m 46s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 21h35:37 +00h 12m 46s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 21h48:24 +00h 12m 17s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 22h00:42 +00h 04m 00s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 22h04:43 +00h 25m 23s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 22h30:07 +00h 27m 48s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 22h57:56 +00h 19m 03s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 23h17:00 +00h 12m 28s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 23h29:30 +00h 10m 56s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 23h40:27 +00h 02m 46s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-01-21 23h43:14 +00h 25m 23s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-22 00h08:39 +00h 27m 25s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-22 00h36:05 +00h 09m 10s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-01-22 00h45:16 +00h 12m 29s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-22 00h57:46 +00h 10m 54s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-22 01h08:41 +00h 02m 19s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-22 01h11:01 +00h 07m 15s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-22 01h18:17 +00h 07m 22s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-22 01h25:41 +00h 07m 08s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-22 01h32:50 +00h 09m 12s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-22 01h42:03 +00h 10m 48s [ 5848 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-22 01h52:52 +00h 10m 53s [ 5848 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-22 02h03:46 +00h 10m 47s [ 5848 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-22 02h14:34 +00h 11m 10s [ 5848 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-22 02h25:46 +00h 02m 45s [ 1184 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-22 02h28:32 +00h 02m 49s [ 1184 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-22 02h31:22 +00h 02m 44s [ 1184 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-22 02h34:07 +00h 03m 13s [ 1184 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-22 02h37:22 +00h 02m 28s [ 1223 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-22 02h39:51 +00h 02m 30s [ 1223 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-22 02h42:22 +00h 02m 28s [ 1223 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-22 02h44:52 +00h 02m 32s [ 1223 tests] | 0 | 0 |