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