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