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