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