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