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 | 2023-01-20 18h49:03 +00h 02m 57s | 0 | 0 | |||||||
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h52:01 +00h 00m 50s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h52:52 +00h 00m 29s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h53:22 +00h 01m 08s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h54:31 +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 | 2023-01-20 18h55:10 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h55:30 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h55:53 +00h 00m 15s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h56:08 +00h 00m 20s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h56:29 +00h 00m 41s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h57:10 +00h 00m 13s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h57:23 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h57:40 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h58:03 +00h 00m 12s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h58:16 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h58:32 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h58:55 +00h 00m 15s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h59:11 +00h 00m 20s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-01-20 18h59:31 +00h 00m 25s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 18h59:57 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h00:42 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h01:25 +00h 03m 37s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h05:03 +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 | 2023-01-20 19h05:44 +00h 00m 23s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h06:08 +00h 00m 47s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h06:56 +00h 00m 12s [ 209 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h07:08 +00h 00m 15s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h07:23 +00h 01m 18s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h08:43 +00h 00m 12s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h08:55 +00h 00m 17s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h09:12 +00h 00m 36s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h09:49 +00h 00m 12s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h10:02 +00h 00m 17s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h10:19 +00h 00m 35s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h10:55 +00h 00m 14s [ 423 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h11:10 +00h 00m 20s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-01-20 19h11:31 +00h 00m 41s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h12:12 +00h 00m 42s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h12:55 +00h 00m 29s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h13:25 +00h 00m 49s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h14:15 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h14:54 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h15:15 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h15:37 +00h 00m 15s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h15:53 +00h 00m 20s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h16:14 +00h 00m 40s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h16:55 +00h 00m 12s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h17:08 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h17:25 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h17:48 +00h 00m 12s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h18:01 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h18:18 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h18:41 +00h 00m 15s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h18:57 +00h 00m 19s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-01-20 19h19:17 +00h 00m 24s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h19:42 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h20:27 +00h 00m 41s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h21:10 +00h 01m 47s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h22:58 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h23:39 +00h 00m 23s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h24:03 +00h 00m 35s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h24:39 +00h 00m 12s [ 209 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h24:51 +00h 00m 15s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h25:07 +00h 00m 59s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h26:07 +00h 00m 12s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h26:19 +00h 00m 17s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h26:37 +00h 00m 32s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h27:09 +00h 00m 12s [ 424 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h27:22 +00h 00m 17s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h27:39 +00h 00m 32s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h28:11 +00h 00m 14s [ 423 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h28:26 +00h 00m 20s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-01-20 19h28:47 +00h 00m 34s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h29:22 +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 | 2023-01-20 19h30:05 +00h 00m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h30:35 +00h 01m 11s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h31:47 +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 | 1 | 2023-01-20 19h32:26 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h32:46 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h33:10 +00h 00m 15s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h33:26 +00h 00m 20s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h33:46 +00h 00m 41s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h34:28 +00h 00m 13s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h34:41 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h34:58 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h35:21 +00h 00m 13s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h35:35 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h35:52 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h36:14 +00h 00m 15s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h36:31 +00h 00m 20s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-01-20 19h36:51 +00h 00m 25s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h37:17 +00h 00m 42s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h38:00 +00h 00m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h38:31 +00h 00m 50s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h39:21 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h40:00 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h40:21 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h40:44 +00h 00m 15s [ 299 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h41:00 +00h 00m 20s [ 245 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h41:21 +00h 00m 40s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h42:02 +00h 00m 13s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h42:15 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h42:32 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h42:55 +00h 00m 13s [ 489 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h43:08 +00h 00m 16s [ 349 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h43:26 +00h 00m 22s [ 165 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h43:49 +00h 00m 16s [ 488 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h44:05 +00h 00m 20s [ 348 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-01-20 19h44:25 +00h 00m 24s [ 164 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 19h44:51 +00h 00m 42s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 19h45:33 +00h 00m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 19h46:04 +00h 01m 08s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 19h47:13 +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 | 0 | 2023-01-20 19h47:51 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-01-20 19h48:12 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 19h48:35 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 19h49:19 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 19h50:02 +00h 03m 38s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 19h53:41 +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 | 0 | 2023-01-20 19h54:21 +00h 00m 23s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-01-20 19h54:45 +00h 00m 47s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h55:33 +00h 00m 41s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h56:15 +00h 00m 29s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h56:45 +00h 00m 49s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h57:35 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h58:14 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-01-20 19h58:34 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 19h58:57 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 19h59:42 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 20h00:24 +00h 01m 46s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 20h02:11 +00h 00m 40s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 20h02:52 +00h 00m 23s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-01-20 20h03:16 +00h 00m 35s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 20h03:52 +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 | 0 | 2023-01-20 20h04:35 +00h 00m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 20h05:06 +00h 01m 10s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 20h06:16 +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 | 2023-01-20 20h06:55 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-01-20 20h07:16 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h07:39 +00h 00m 42s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h08:22 +00h 00m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h08:52 +00h 00m 50s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h09:43 +00h 00m 38s [ 1420 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h10:23 +00h 00m 20s [ 368 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-01-20 20h10:43 +00h 00m 22s [ 118 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h11:07 +00h 06m 54s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h18:01 +00h 07m 34s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h25:36 +00h 04m 44s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h30:20 +00h 03m 34s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h33:55 +00h 03m 01s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h36:57 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h37:50 +00h 00m 42s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h38:33 +00h 00m 49s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h39:23 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h40:42 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h42:20 +00h 02m 03s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h44:23 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h45:42 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h47:20 +00h 02m 02s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h49:23 +00h 01m 17s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h50:41 +00h 01m 50s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h52:32 +00h 02m 20s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-01-20 20h54:53 +00h 01m 23s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 20h56:16 +00h 06m 59s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h03:17 +00h 10m 41s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h13:59 +00h 15m 41s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h29:40 +00h 03m 17s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h32:57 +00h 03m 26s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h36:24 +00h 02m 08s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h38:34 +00h 00m 20s [ 550 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h38:54 +00h 00m 24s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h39:19 +00h 02m 46s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h42:06 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h42:51 +00h 00m 54s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h43:45 +00h 02m 35s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h46:22 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h47:07 +00h 00m 54s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h48:01 +00h 02m 36s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h50:38 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h51:28 +00h 01m 04s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-01-20 21h52:33 +00h 02m 40s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 21h55:14 +00h 06m 54s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h02:09 +00h 07m 33s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h09:43 +00h 02m 56s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h12:40 +00h 03m 33s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h16:14 +00h 03m 01s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h19:15 +00h 00m 46s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h20:02 +00h 00m 41s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h20:44 +00h 00m 48s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h21:33 +00h 01m 14s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h22:48 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h24:26 +00h 02m 02s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h26:28 +00h 01m 14s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h27:43 +00h 01m 37s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h29:21 +00h 02m 08s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h31:34 +00h 01m 15s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h32:50 +00h 01m 49s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h34:39 +00h 02m 20s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-01-20 22h37:00 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 22h38:19 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 22h45:17 +00h 10m 03s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 22h55:21 +00h 06m 50s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h02:11 +00h 03m 18s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h05:30 +00h 03m 27s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h08:57 +00h 01m 23s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h10:21 +00h 00m 20s [ 550 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h10:42 +00h 00m 23s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h11:06 +00h 02m 00s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h13:07 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h13:52 +00h 00m 54s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h14:47 +00h 01m 53s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h16:40 +00h 00m 44s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h17:25 +00h 00m 54s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h18:20 +00h 01m 51s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h20:12 +00h 00m 50s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h21:03 +00h 01m 04s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-01-20 23h22:08 +00h 01m 55s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h24:04 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h31:02 +00h 07m 38s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h38:41 +00h 04m 47s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h43:29 +00h 03m 36s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h47:06 +00h 03m 02s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h50:09 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h51:00 +00h 00m 41s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h51:42 +00h 00m 49s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h52:32 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h53:50 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h55:29 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h57:34 +00h 01m 17s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-20 23h58:52 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 00h00:31 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 00h02:35 +00h 01m 17s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 00h03:53 +00h 01m 50s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 00h05:44 +00h 02m 21s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-01-21 00h08:06 +00h 01m 22s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h09:29 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h16:27 +00h 07m 38s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h24:05 +00h 02m 58s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h27:04 +00h 03m 36s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h30:41 +00h 03m 02s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h33:44 +00h 00m 46s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h34:31 +00h 00m 42s [ 1200 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h35:13 +00h 00m 49s [ 778 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h36:03 +00h 01m 15s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h37:18 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h38:57 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h41:02 +00h 01m 14s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h42:17 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h43:56 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h46:00 +00h 01m 15s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h47:16 +00h 01m 50s [ 2579 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h49:07 +00h 02m 21s [ 1697 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-01-21 00h51:29 +00h 01m 18s [ 334 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 00h52:47 +00h 06m 54s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 00h59:42 +00h 07m 33s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 01h07:16 +00h 04m 44s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 01h12:01 +00h 03m 33s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 01h15:35 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-01-21 01h18:36 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h19:27 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h26:25 +00h 10m 39s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h37:06 +00h 15m 41s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h52:47 +00h 03m 17s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h56:05 +00h 03m 26s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-01-21 01h59:31 +00h 02m 08s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h01:40 +00h 06m 53s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h08:34 +00h 07m 32s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h16:07 +00h 02m 56s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h19:05 +00h 03m 33s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h22:38 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-01-21 02h25:39 +00h 00m 46s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h26:26 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h33:24 +00h 10m 03s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h43:28 +00h 06m 51s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h50:19 +00h 03m 18s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h53:38 +00h 03m 27s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-01-21 02h57:05 +00h 01m 23s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 02h58:29 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 03h05:26 +00h 07m 38s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 03h13:05 +00h 04m 48s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 03h17:54 +00h 03m 36s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 03h21:30 +00h 03m 02s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-01-21 03h24:32 +00h 00m 51s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h25:24 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h32:21 +00h 07m 37s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h39:59 +00h 02m 57s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h42:57 +00h 03m 36s [ 4463 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h46:34 +00h 03m 02s [ 1882 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-01-21 03h49:36 +00h 00m 46s [ 157 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-21 03h50:23 +00h 02m 11s [ 2740 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-21 03h52:35 +00h 02m 14s [ 2740 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-21 03h54:50 +00h 02m 11s [ 2740 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-21 03h57:02 +00h 03m 15s [ 2740 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-21 04h00:18 +00h 02m 51s [ 5848 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-21 04h03:10 +00h 02m 53s [ 5848 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-21 04h06:04 +00h 02m 51s [ 5848 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-21 04h08:56 +00h 02m 59s [ 5848 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-21 04h11:56 +00h 00m 50s [ 1184 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-21 04h12:46 +00h 00m 51s [ 1184 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-21 04h13:38 +00h 00m 50s [ 1184 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-21 04h14:28 +00h 01m 03s [ 1184 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-01-21 04h15:32 +00h 00m 44s [ 1223 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-01-21 04h16:17 +00h 00m 44s [ 1223 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-01-21 04h17:01 +00h 00m 43s [ 1223 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-01-21 04h17:45 +00h 00m 44s [ 1223 tests] | 0 | 0 |