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 | 2023-07-03 11h36:08 +00h 03m 09s | 0 | 0 | |||||||
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h39:19 +00h 00m 51s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h40:12 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h40:48 +00h 01m 17s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h42:06 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h42:50 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h43:16 +00h 00m 27s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h43:44 +00h 00m 21s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h44:06 +00h 00m 24s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h44:32 +00h 00m 45s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h45:19 +00h 00m 17s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h45:37 +00h 00m 22s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h46:00 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h46:28 +00h 00m 18s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h46:48 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h47:11 +00h 00m 27s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h47:40 +00h 00m 21s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h48:02 +00h 00m 26s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-03 11h48:30 +00h 00m 29s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h49:00 +00h 00m 49s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h49:51 +00h 00m 47s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h50:40 +00h 03m 52s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h54:36 +00h 00m 45s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h55:23 +00h 00m 28s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h55:53 +00h 00m 52s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h56:46 +00h 00m 16s [ 209 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h57:04 +00h 00m 24s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h57:29 +00h 01m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h58:52 +00h 00m 16s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h59:10 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 11h59:33 +00h 00m 40s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h00:14 +00h 00m 16s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h00:32 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h00:55 +00h 00m 39s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h01:36 +00h 00m 18s [ 423 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h01:56 +00h 00m 25s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-03 12h02:22 +00h 00m 44s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h03:07 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h03:53 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h04:28 +00h 00m 52s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h05:21 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h06:04 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h06:30 +00h 00m 27s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h06:58 +00h 00m 19s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h07:19 +00h 00m 24s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h07:44 +00h 00m 44s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h08:31 +00h 00m 16s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h08:49 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h09:11 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h09:39 +00h 00m 17s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h09:57 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h10:20 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h10:47 +00h 00m 20s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h11:09 +00h 00m 24s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-03 12h11:34 +00h 00m 28s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h12:05 +00h 00m 48s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h12:54 +00h 00m 45s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h13:40 +00h 01m 52s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h15:34 +00h 00m 44s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h16:19 +00h 00m 28s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h16:49 +00h 00m 39s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h17:30 +00h 00m 16s [ 209 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h17:47 +00h 00m 19s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h18:07 +00h 01m 03s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h19:12 +00h 00m 16s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h19:30 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h19:53 +00h 00m 36s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h20:30 +00h 00m 16s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h20:47 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h21:10 +00h 00m 35s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h21:47 +00h 00m 19s [ 423 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h22:07 +00h 00m 25s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-03 12h22:34 +00h 00m 37s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h23:12 +00h 00m 46s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h24:01 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h24:36 +00h 01m 16s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h25:53 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h26:36 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h27:02 +00h 00m 28s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h27:31 +00h 00m 19s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h27:52 +00h 00m 24s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h28:17 +00h 00m 45s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h29:03 +00h 00m 16s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h29:21 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h29:44 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h30:11 +00h 00m 17s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h30:30 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h30:52 +00h 00m 27s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h31:21 +00h 00m 20s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h31:42 +00h 00m 25s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-03 12h32:08 +00h 00m 28s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h32:38 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h33:25 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h34:01 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h34:56 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h35:39 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h36:05 +00h 00m 26s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h36:33 +00h 00m 19s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h36:53 +00h 00m 24s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h37:18 +00h 00m 45s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h38:05 +00h 00m 17s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h38:23 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h38:46 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h39:13 +00h 00m 17s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h39:31 +00h 00m 21s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h39:54 +00h 00m 26s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h40:22 +00h 00m 20s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h40:43 +00h 00m 24s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-03 12h41:09 +00h 00m 29s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h41:40 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h42:26 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h43:00 +00h 01m 13s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h44:15 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h44:57 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-03 12h45:22 +00h 00m 26s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h45:50 +00h 00m 47s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h46:39 +00h 00m 46s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h47:26 +00h 03m 48s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h51:16 +00h 00m 44s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h52:01 +00h 00m 27s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-03 12h52:30 +00h 00m 51s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h53:23 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h54:09 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h54:43 +00h 00m 54s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h55:39 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h56:22 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-03 12h56:48 +00h 00m 26s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 12h57:16 +00h 00m 47s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 12h58:05 +00h 00m 46s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 12h58:52 +00h 01m 53s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 13h00:47 +00h 00m 44s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 13h01:32 +00h 00m 28s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-07-03 13h02:02 +00h 00m 39s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h02:43 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h03:30 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h04:05 +00h 01m 15s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h05:22 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h06:05 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-07-03 13h06:30 +00h 00m 26s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h06:58 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h07:45 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h08:20 +00h 00m 54s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h09:16 +00h 00m 42s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h09:59 +00h 00m 24s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-07-03 13h10:25 +00h 00m 27s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h10:54 +00h 06m 47s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h17:42 +00h 07m 15s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h24:59 +00h 04m 50s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h29:51 +00h 03m 28s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h33:21 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h36:19 +00h 00m 55s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h37:16 +00h 00m 45s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h38:02 +00h 00m 51s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h38:55 +00h 01m 22s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h40:19 +00h 01m 41s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h42:01 +00h 02m 05s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h44:08 +00h 01m 20s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h45:30 +00h 01m 41s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h47:12 +00h 02m 06s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h49:19 +00h 01m 21s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h50:42 +00h 01m 55s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h52:39 +00h 02m 26s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-07-03 13h55:06 +00h 01m 26s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 13h56:34 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h03:31 +00h 10m 32s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h14:07 +00h 16m 29s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h30:40 +00h 03m 21s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h34:03 +00h 03m 26s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h37:34 +00h 02m 13s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h39:48 +00h 00m 24s [ 550 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h40:14 +00h 00m 27s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h40:43 +00h 02m 52s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h43:37 +00h 00m 49s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h44:27 +00h 00m 58s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h45:27 +00h 02m 38s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h48:07 +00h 00m 49s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h48:58 +00h 00m 58s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h49:58 +00h 02m 38s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h52:38 +00h 00m 55s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h53:34 +00h 01m 10s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-07-03 14h54:47 +00h 02m 44s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 14h57:32 +00h 06m 48s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h04:22 +00h 07m 17s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h11:42 +00h 03m 04s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h14:53 +00h 03m 34s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h18:34 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h21:34 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h22:27 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h23:16 +00h 00m 53s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h24:11 +00h 01m 20s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h25:34 +00h 01m 42s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h27:19 +00h 02m 07s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h29:30 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h30:51 +00h 01m 42s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h32:36 +00h 02m 06s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h34:45 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h36:04 +00h 01m 56s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h38:06 +00h 02m 30s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-07-03 15h40:43 +00h 01m 23s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 15h42:09 +00h 07m 03s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 15h49:22 +00h 09m 53s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 15h59:18 +00h 07m 02s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h06:23 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h09:48 +00h 03m 26s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h13:17 +00h 01m 28s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h14:47 +00h 00m 25s [ 550 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h15:16 +00h 00m 28s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h15:47 +00h 02m 04s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h17:53 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h18:46 +00h 01m 00s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h19:48 +00h 01m 55s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h21:47 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h22:40 +00h 01m 00s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h23:42 +00h 01m 57s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h25:42 +00h 00m 55s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h26:38 +00h 01m 09s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-07-03 16h27:51 +00h 02m 04s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h29:59 +00h 06m 59s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h37:11 +00h 07m 30s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h44:54 +00h 04m 56s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h49:53 +00h 03m 32s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h53:30 +00h 03m 05s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h56:45 +00h 00m 58s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h57:47 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h58:37 +00h 00m 53s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 16h59:32 +00h 01m 23s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h00:58 +00h 01m 42s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h02:44 +00h 02m 06s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h04:53 +00h 01m 22s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h06:17 +00h 01m 44s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h08:07 +00h 02m 07s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h10:16 +00h 01m 20s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h11:38 +00h 01m 55s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h13:34 +00h 02m 31s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-07-03 17h16:17 +00h 01m 28s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h17:48 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h24:52 +00h 07m 25s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h32:27 +00h 03m 02s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h35:32 +00h 03m 32s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h39:11 +00h 03m 05s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h42:24 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h43:19 +00h 00m 47s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h44:09 +00h 00m 53s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h45:04 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h46:24 +00h 01m 42s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h48:07 +00h 02m 06s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h50:15 +00h 01m 17s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h51:33 +00h 01m 41s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h53:16 +00h 02m 06s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h55:24 +00h 01m 17s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h56:42 +00h 01m 55s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 17h58:39 +00h 02m 25s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-07-03 18h01:05 +00h 01m 22s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h02:29 +00h 06m 47s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h09:18 +00h 07m 15s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h16:34 +00h 04m 49s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h21:25 +00h 03m 28s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h24:54 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-07-03 18h27:53 +00h 00m 54s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 18h28:49 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 18h35:47 +00h 10m 29s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 18h46:17 +00h 16m 20s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 19h02:39 +00h 03m 19s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 19h06:00 +00h 03m 24s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-07-03 19h09:26 +00h 02m 13s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h11:40 +00h 06m 46s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h18:28 +00h 07m 15s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h25:45 +00h 02m 58s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h28:44 +00h 03m 28s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h32:14 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-07-03 19h35:13 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-07-03 19h36:05 +00h 06m 55s [ 9267 tests] | 0 | 0 |