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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| a40 | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-07-31 22h31:40 +00h 02m 59s | 0 | 0 | |||||||
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h34:40 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h35:49 +00h 00m 43s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h36:34 +00h 01m 17s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h40:20 +00h 00m 54s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h41:16 +00h 00m 30s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h41:47 +00h 00m 33s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h42:23 +00h 00m 24s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h42:49 +00h 00m 31s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h43:21 +00h 00m 54s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h44:17 +00h 00m 24s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h44:45 +00h 00m 33s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h45:19 +00h 00m 45s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h46:06 +00h 00m 36s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h46:43 +00h 00m 27s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h47:12 +00h 00m 30s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h47:44 +00h 00m 25s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h48:10 +00h 00m 29s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h48:41 +00h 00m 33s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h49:16 +00h 00m 59s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h50:17 +00h 00m 52s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h51:10 +00h 03m 47s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h54:58 +00h 00m 51s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h55:51 +00h 00m 38s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h56:31 +00h 00m 53s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h57:25 +00h 00m 20s [ 209 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h57:49 +00h 00m 21s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h58:12 +00h 01m 25s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h59:38 +00h 00m 19s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h59:58 +00h 00m 25s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h00:24 +00h 00m 43s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h01:09 +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 | 2023-07-31 23h01:28 +00h 00m 24s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h01:53 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h02:37 +00h 00m 23s [ 423 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h03:01 +00h 01m 13s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h04:15 +00h 00m 51s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h05:08 +00h 00m 58s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h06:07 +00h 00m 42s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h06:50 +00h 00m 56s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h07:47 +00h 00m 47s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h08:35 +00h 00m 27s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h09:03 +00h 00m 29s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h09:33 +00h 00m 24s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h09:59 +00h 00m 27s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h10:27 +00h 00m 47s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h11:17 +00h 00m 23s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h11:41 +00h 00m 32s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h12:15 +00h 00m 29s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h12:46 +00h 00m 20s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h13:07 +00h 00m 23s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h13:31 +00h 00m 30s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h14:02 +00h 00m 23s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h14:28 +00h 00m 28s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h14:57 +00h 00m 33s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h15:32 +00h 00m 53s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h16:26 +00h 00m 50s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h17:17 +00h 01m 51s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h19:10 +00h 00m 47s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h19:58 +00h 00m 32s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h20:31 +00h 00m 42s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h21:14 +00h 00m 20s [ 209 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h21:36 +00h 00m 22s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h21:59 +00h 01m 13s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h23:13 +00h 00m 20s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h23:35 +00h 00m 27s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h24:04 +00h 00m 40s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h24:45 +00h 00m 18s [ 424 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h25:06 +00h 00m 24s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h25:31 +00h 00m 39s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h26:12 +00h 00m 25s [ 423 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h26:38 +00h 00m 28s [ 348 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h27:07 +00h 00m 41s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h27:49 +00h 00m 50s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h28:40 +00h 00m 39s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h29:21 +00h 01m 18s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h30:40 +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 | 2023-07-31 23h31:21 +00h 00m 24s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h31:48 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h32:13 +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 | 2023-07-31 23h32:31 +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 | 2023-07-31 23h32:53 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h33:37 +00h 00m 32s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h34:10 +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 | 2023-07-31 23h34:30 +00h 00m 24s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h34:55 +00h 00m 16s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h35:12 +00h 00m 18s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h35:32 +00h 00m 24s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-07-31 23h35:57 +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 | 2023-07-31 23h36:16 +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 | True | 1 | 2023-07-31 23h36:40 +00h 00m 27s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h37:08 +00h 00m 44s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h37:53 +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 | 2023-07-31 23h38:26 +00h 00m 51s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h39:19 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h40:00 +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 | 2023-07-31 23h40:24 +00h 00m 26s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h40:51 +00h 00m 17s [ 299 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h41:09 +00h 00m 22s [ 245 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h41:31 +00h 00m 42s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h42:16 +00h 00m 17s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h42:34 +00h 00m 19s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h42:56 +00h 00m 26s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h43:23 +00h 00m 15s [ 489 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h43:39 +00h 00m 19s [ 349 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h43:59 +00h 00m 26s [ 165 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h44:26 +00h 00m 20s [ 488 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-07-31 23h44:50 +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 | 2023-07-31 23h45:13 +00h 00m 28s [ 164 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h45:42 +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 | 2023-07-31 23h46:26 +00h 00m 33s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h47:00 +00h 01m 11s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h48:12 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h48:54 +00h 00m 24s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-07-31 23h49:18 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h49:43 +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 | 0 | 2023-07-31 23h50:31 +00h 00m 44s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h51:16 +00h 03m 40s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h54:57 +00h 00m 41s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-07-31 23h55:40 +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 | 0 | 2023-07-31 23h56:06 +00h 00m 49s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h56:57 +00h 00m 43s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h57:41 +00h 00m 31s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h58:14 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h59:07 +00h 00m 39s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-07-31 23h59:47 +00h 00m 22s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 00h00:11 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h00:37 +00h 00m 49s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h01:27 +00h 00m 44s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h02:13 +00h 01m 50s [ 168 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h04:05 +00h 00m 44s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h04:50 +00h 00m 26s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 00h05:16 +00h 00m 37s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h05:55 +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 | 2023-08-01 00h06:39 +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 | True | 0 | 2023-08-01 00h07:13 +00h 01m 12s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 00h08:26 +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 | 0 | 2023-08-01 00h09:07 +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 | 2023-08-01 00h09:30 +00h 00m 24s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h09:55 +00h 00m 45s [ 1847 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h10:42 +00h 00m 32s [ 512 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h11:14 +00h 00m 52s [ 175 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h12:07 +00h 00m 43s [ 1420 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h12:55 +00h 00m 23s [ 368 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 00h13:20 +00h 00m 27s [ 118 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h13:50 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h20:48 +00h 07m 24s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h28:14 +00h 04m 44s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h32:58 +00h 03m 23s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h36:23 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h39:21 +00h 00m 52s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h40:14 +00h 00m 43s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h40:57 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h41:47 +00h 01m 21s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h43:09 +00h 01m 39s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h44:48 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h46:53 +00h 01m 18s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h48:13 +00h 01m 40s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h49:54 +00h 02m 04s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h51:59 +00h 01m 19s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h53:19 +00h 01m 51s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h55:12 +00h 02m 21s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 00h57:34 +00h 01m 23s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 00h58:59 +00h 06m 57s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h05:57 +00h 10m 40s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h16:38 +00h 15m 41s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h32:20 +00h 03m 14s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h35:35 +00h 03m 26s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h39:02 +00h 02m 08s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h41:12 +00h 00m 22s [ 550 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h41:35 +00h 00m 24s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h42:00 +00h 02m 47s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h44:49 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h45:36 +00h 00m 55s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h46:32 +00h 02m 35s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h49:08 +00h 00m 47s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h49:56 +00h 00m 55s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h50:53 +00h 02m 35s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h53:29 +00h 00m 52s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h54:22 +00h 01m 05s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 01h55:29 +00h 02m 41s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 01h58:10 +00h 06m 43s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h04:54 +00h 07m 21s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h12:17 +00h 02m 57s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h15:15 +00h 03m 26s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h18:42 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h21:41 +00h 00m 48s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h22:30 +00h 00m 43s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h23:14 +00h 00m 48s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h24:04 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h25:21 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h27:00 +00h 02m 03s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h29:04 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h30:21 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h32:00 +00h 02m 03s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h34:04 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h35:20 +00h 01m 52s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h37:13 +00h 02m 22s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 02h39:36 +00h 01m 20s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h40:57 +00h 06m 54s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h47:53 +00h 10m 01s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 02h57:55 +00h 06m 50s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h04:46 +00h 03m 16s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h08:03 +00h 03m 28s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h11:32 +00h 01m 25s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h12:58 +00h 00m 22s [ 550 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h13:21 +00h 00m 25s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h13:47 +00h 02m 03s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h15:51 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h16:38 +00h 00m 55s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h17:35 +00h 01m 54s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h19:30 +00h 00m 46s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h20:17 +00h 00m 55s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h21:14 +00h 01m 54s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h23:09 +00h 00m 53s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h24:03 +00h 01m 06s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 03h25:10 +00h 01m 58s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h27:09 +00h 06m 46s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h33:56 +00h 07m 25s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h41:23 +00h 04m 46s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h46:10 +00h 03m 25s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h49:36 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h52:34 +00h 00m 52s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h53:27 +00h 00m 42s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h54:10 +00h 00m 49s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h55:01 +00h 01m 19s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h56:21 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 03h58:00 +00h 02m 02s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h00:03 +00h 01m 18s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h01:23 +00h 01m 41s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h03:05 +00h 02m 02s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h05:08 +00h 01m 19s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h06:28 +00h 01m 52s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h08:21 +00h 02m 22s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 04h10:44 +00h 01m 23s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h12:08 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h18:58 +00h 07m 26s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h26:25 +00h 02m 59s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h29:26 +00h 03m 26s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h32:53 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h35:54 +00h 00m 49s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h36:44 +00h 00m 42s [ 1200 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h37:27 +00h 00m 49s [ 778 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h38:17 +00h 01m 17s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h39:35 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h41:14 +00h 02m 02s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h43:18 +00h 01m 16s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h44:35 +00h 01m 38s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h46:14 +00h 02m 03s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h48:18 +00h 01m 15s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h49:35 +00h 01m 52s [ 2579 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h51:27 +00h 02m 22s [ 1697 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 04h53:50 +00h 01m 20s [ 334 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 04h55:12 +00h 06m 44s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h01:57 +00h 07m 26s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h09:24 +00h 04m 43s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h14:08 +00h 03m 26s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h17:35 +00h 02m 58s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 05h20:34 +00h 00m 52s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h21:27 +00h 06m 56s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h28:24 +00h 10m 38s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h39:02 +00h 15m 38s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h54:41 +00h 03m 14s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 05h57:57 +00h 03m 27s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 06h01:25 +00h 02m 07s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h03:33 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h10:23 +00h 07m 27s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h17:54 +00h 02m 58s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h20:53 +00h 03m 24s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h24:18 +00h 02m 57s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 06h27:17 +00h 00m 48s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h28:06 +00h 06m 53s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h35:00 +00h 10m 02s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h45:04 +00h 06m 50s [ 343 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h51:55 +00h 03m 18s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h55:14 +00h 03m 27s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 06h58:43 +00h 01m 25s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h00:09 +00h 06m 49s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h06:59 +00h 07m 26s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h14:26 +00h 04m 45s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h19:13 +00h 03m 26s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h22:40 +00h 02m 59s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 07h25:43 +00h 00m 52s [ 157 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h26:36 +00h 06m 51s [ 9267 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h33:28 +00h 07m 28s [ 3987 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h40:57 +00h 03m 00s [ 374 tests] | 0 | 0 | |
| a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h43:59 +00h 03m 29s [ 4463 tests] | 0 | 0 | |
| a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h47:29 +00h 03m 00s [ 1882 tests] | 0 | 0 | |
| a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 07h50:30 +00h 00m 48s [ 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 | 2023-08-01 07h51:19 +00h 02m 13s [ 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 | 2023-08-01 07h53:33 +00h 02m 17s [ 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 | 2023-08-01 07h55:52 +00h 02m 13s [ 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 | 2023-08-01 07h58:06 +00h 03m 19s [ 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 | 2023-08-01 08h01:26 +00h 02m 49s [ 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 | 2023-08-01 08h04:15 +00h 02m 49s [ 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 | 2023-08-01 08h07:06 +00h 02m 49s [ 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 | 2023-08-01 08h09:56 +00h 02m 57s [ 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 | 2023-08-01 08h12:54 +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 | out-of-place | True | 1 | 2023-08-01 08h13:47 +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 | inplace | Auto | 1 | 2023-08-01 08h14:43 +00h 00m 52s [ 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 | 2023-08-01 08h15:36 +00h 01m 06s [ 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 | 2023-08-01 08h16:42 +00h 00m 45s [ 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 | 2023-08-01 08h17:28 +00h 00m 45s [ 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 | 2023-08-01 08h18:14 +00h 00m 46s [ 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 | 2023-08-01 08h19:01 +00h 00m 46s [ 1223 tests] | 0 | 0 | |