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