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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
v100 | pycuda | Regular multi-dimensional C2C/R2C/DCT test | 2023-07-31 22h31:49 +00h 04m 27s | 0 | ||||||||
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h36:18 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h37:41 +00h 01m 03s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h38:46 +00h 03m 50s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h42:38 +00h 01m 13s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h43:53 +00h 00m 44s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h44:38 +00h 01m 16s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h45:56 +00h 00m 47s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h46:44 +00h 00m 39s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h47:25 +00h 01m 45s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h49:12 +00h 00m 29s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h49:42 +00h 00m 38s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h50:21 +00h 00m 59s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h51:22 +00h 00m 36s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h52:00 +00h 00m 36s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h52:37 +00h 00m 55s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h53:34 +00h 00m 35s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h54:11 +00h 00m 44s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-07-31 22h54:57 +00h 01m 03s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h56:02 +00h 01m 29s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h57:33 +00h 01m 34s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 22h59:09 +00h 11m 04s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h10:14 +00h 01m 19s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h11:34 +00h 00m 45s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h12:21 +00h 02m 56s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h15:19 +00h 00m 26s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h15:46 +00h 00m 30s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h16:18 +00h 04m 12s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h20:31 +00h 00m 24s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h20:57 +00h 00m 34s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h21:33 +00h 02m 03s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h23:37 +00h 00m 26s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h24:05 +00h 00m 35s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h24:42 +00h 02m 02s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h26:45 +00h 00m 31s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h27:18 +00h 00m 42s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-07-31 23h28:02 +00h 02m 16s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h30:20 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h31:29 +00h 00m 55s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h32:25 +00h 01m 51s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h34:18 +00h 01m 04s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h35:24 +00h 00m 34s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h36:00 +00h 00m 53s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h36:54 +00h 00m 26s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h37:21 +00h 00m 36s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h37:59 +00h 01m 13s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h39:14 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h39:37 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h40:07 +00h 00m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h40:47 +00h 00m 21s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h41:10 +00h 00m 29s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h41:40 +00h 00m 37s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h42:19 +00h 00m 29s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h42:49 +00h 00m 37s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-07-31 23h43:27 +00h 00m 48s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h44:17 +00h 01m 22s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h45:40 +00h 01m 10s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h46:51 +00h 04m 42s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h51:35 +00h 01m 17s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h52:54 +00h 00m 42s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h53:37 +00h 01m 22s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h55:01 +00h 00m 20s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h55:22 +00h 00m 24s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h55:48 +00h 02m 30s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h58:20 +00h 00m 23s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h58:44 +00h 00m 36s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-07-31 23h59:22 +00h 01m 13s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h00:37 +00h 00m 20s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h00:58 +00h 00m 30s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h01:29 +00h 01m 09s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h02:40 +00h 00m 33s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h03:14 +00h 00m 34s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-08-01 00h03:50 +00h 01m 18s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h05:10 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h06:22 +00h 00m 53s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h07:17 +00h 03m 47s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h11:06 +00h 01m 06s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h12:13 +00h 00m 38s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h12:53 +00h 00m 50s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h13:45 +00h 00m 26s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h14:13 +00h 00m 34s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h14:49 +00h 01m 35s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h16:25 +00h 00m 23s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h16:53 +00h 00m 31s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h17:25 +00h 00m 56s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h18:23 +00h 00m 23s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h18:47 +00h 00m 30s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h19:18 +00h 00m 50s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h20:09 +00h 00m 28s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h20:38 +00h 00m 36s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-08-01 00h21:16 +00h 01m 01s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h22:19 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h23:31 +00h 00m 51s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h24:23 +00h 01m 54s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h26:18 +00h 01m 07s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h27:27 +00h 00m 34s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h28:02 +00h 00m 47s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h28:50 +00h 00m 26s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h29:17 +00h 00m 32s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h29:51 +00h 01m 11s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h31:03 +00h 00m 21s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h31:26 +00h 00m 29s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h31:56 +00h 00m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h32:37 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h33:00 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h33:29 +00h 00m 38s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h34:09 +00h 00m 26s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h34:36 +00h 00m 37s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-08-01 00h35:15 +00h 00m 47s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h36:03 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h37:14 +00h 00m 54s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h38:10 +00h 03m 42s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h41:54 +00h 01m 05s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h43:00 +00h 00m 35s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-08-01 00h43:37 +00h 00m 53s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h44:32 +00h 01m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h45:57 +00h 01m 26s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h47:24 +00h 09m 48s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h57:14 +00h 01m 14s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h58:29 +00h 00m 38s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-08-01 00h59:09 +00h 02m 37s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h01:47 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h02:58 +00h 00m 51s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h03:50 +00h 01m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h05:49 +00h 01m 03s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h06:55 +00h 00m 59s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-08-01 01h07:55 +00h 00m 42s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h08:38 +00h 01m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h10:03 +00h 01m 03s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h11:08 +00h 04m 33s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h15:43 +00h 01m 14s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h16:58 +00h 00m 43s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-08-01 01h17:43 +00h 01m 24s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h19:08 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h20:18 +00h 00m 53s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h21:13 +00h 03m 39s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h24:53 +00h 01m 04s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h25:58 +00h 00m 37s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-08-01 01h26:37 +00h 00m 52s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h27:30 +00h 01m 12s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h28:43 +00h 00m 50s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h29:35 +00h 01m 53s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h31:29 +00h 01m 05s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h32:36 +00h 00m 33s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-08-01 01h33:11 +00h 00m 44s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 01h33:56 +00h 11m 38s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 01h45:36 +00h 15m 02s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h00:40 +00h 15m 54s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h16:35 +00h 06m 04s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h22:41 +00h 05m 12s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h27:54 +00h 02m 11s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h30:06 +00h 01m 09s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h31:17 +00h 01m 19s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h32:37 +00h 03m 25s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h36:04 +00h 02m 48s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h38:54 +00h 03m 33s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h42:28 +00h 03m 37s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h46:07 +00h 02m 48s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h48:56 +00h 03m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h52:35 +00h 03m 25s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h56:02 +00h 03m 14s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 02h59:18 +00h 04m 13s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-08-01 03h03:32 +00h 03m 34s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 03h07:08 +00h 12m 47s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 03h19:56 +00h 26m 55s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 03h46:53 +00h 41m 37s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h28:32 +00h 05m 52s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h34:25 +00h 06m 17s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h40:44 +00h 06m 45s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h47:31 +00h 00m 37s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h48:10 +00h 00m 41s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h48:53 +00h 10m 14s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 04h59:09 +00h 01m 24s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h00:34 +00h 01m 38s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h02:13 +00h 09m 22s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h11:37 +00h 01m 22s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h13:00 +00h 01m 38s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h14:39 +00h 10m 09s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h24:50 +00h 01m 46s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h26:38 +00h 02m 16s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-08-01 05h28:57 +00h 09m 15s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 05h38:13 +00h 11m 30s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 05h49:45 +00h 13m 00s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h02:46 +00h 08m 01s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h10:49 +00h 06m 21s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h17:11 +00h 05m 14s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h22:27 +00h 01m 36s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h24:05 +00h 01m 10s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h25:16 +00h 01m 20s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h26:38 +00h 02m 21s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h29:01 +00h 02m 50s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h31:53 +00h 03m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h35:32 +00h 02m 22s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h37:55 +00h 02m 51s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h40:48 +00h 03m 39s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h44:28 +00h 02m 23s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h46:53 +00h 03m 21s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h50:15 +00h 04m 20s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-08-01 06h54:36 +00h 02m 27s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 06h57:05 +00h 13m 26s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 07h10:32 +00h 18m 22s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 07h28:55 +00h 19m 58s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 07h48:55 +00h 06m 16s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 07h55:12 +00h 06m 47s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h02:01 +00h 03m 33s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h05:35 +00h 00m 36s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h06:12 +00h 00m 40s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h06:54 +00h 05m 19s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h12:14 +00h 01m 20s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h13:35 +00h 01m 36s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h15:13 +00h 05m 34s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h20:48 +00h 01m 30s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h22:20 +00h 01m 51s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h24:13 +00h 06m 00s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h30:14 +00h 01m 28s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h31:44 +00h 01m 55s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-08-01 08h33:41 +00h 05m 00s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 08h38:43 +00h 12m 06s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 08h50:50 +00h 15m 55s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h06:48 +00h 16m 48s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h31:09 +00h 06m 25s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h37:36 +00h 05m 25s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h43:02 +00h 02m 18s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h45:22 +00h 01m 18s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h49:05 +00h 01m 30s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h50:36 +00h 03m 30s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h54:08 +00h 03m 13s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 09h57:23 +00h 04m 08s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h01:33 +00h 03m 25s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h05:00 +00h 02m 50s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h07:51 +00h 03m 34s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h11:26 +00h 03m 24s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h14:52 +00h 03m 22s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h18:16 +00h 04m 39s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-08-01 10h22:56 +00h 03m 32s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 10h26:30 +00h 12m 30s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 10h39:02 +00h 14m 00s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 10h53:03 +00h 07m 41s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h00:46 +00h 06m 17s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h07:04 +00h 06m 07s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h13:13 +00h 01m 47s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h15:02 +00h 01m 21s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h16:24 +00h 01m 26s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h17:52 +00h 02m 30s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h20:23 +00h 02m 58s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h23:22 +00h 03m 42s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h27:06 +00h 02m 20s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h29:28 +00h 03m 06s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h32:35 +00h 03m 53s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h36:30 +00h 02m 29s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h39:01 +00h 03m 24s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h42:27 +00h 04m 41s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-08-01 11h47:09 +00h 02m 31s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 11h49:42 +00h 12m 44s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 12h02:27 +00h 16m 07s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 12h37:09 +00h 15m 57s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 12h53:08 +00h 05m 56s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 12h59:05 +00h 05m 12s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-08-01 13h04:18 +00h 02m 14s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 13h06:34 +00h 12m 45s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 13h32:28 +00h 26m 41s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 13h59:12 +00h 41m 43s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 14h40:56 +00h 06m 03s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 14h47:01 +00h 06m 18s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-08-01 14h53:21 +00h 06m 43s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h00:07 +00h 11m 26s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h11:34 +00h 12m 32s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h24:07 +00h 07m 49s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h31:58 +00h 05m 56s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h37:56 +00h 05m 16s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-08-01 15h43:14 +00h 01m 35s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 15h44:51 +00h 13m 00s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 15h57:53 +00h 17m 02s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 16h14:56 +00h 19m 01s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 16h33:58 +00h 05m 48s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 16h39:48 +00h 06m 08s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-08-01 16h45:57 +00h 03m 28s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 16h49:27 +00h 11m 51s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 17h01:19 +00h 15m 27s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 17h16:48 +00h 15m 53s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 17h32:42 +00h 06m 05s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 17h38:48 +00h 05m 14s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-08-01 17h44:03 +00h 02m 18s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 17h46:23 +00h 12m 02s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 17h58:26 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 18h11:35 +00h 07m 27s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-08-01 18h19:03 +00h 06m 02s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 18h25:06 +00h 05m 15s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-08-01 18h30:23 +00h 01m 34s [ 157 tests] | 0 | 0 | |
v100 | 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 18h31:58 +00h 03m 40s [ 2740 tests] | 0 | 0 | |
v100 | 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 18h35:40 +00h 03m 45s [ 2740 tests] | 0 | 0 | |
v100 | 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 18h39:26 +00h 03m 43s [ 2740 tests] | 0 | 0 | |
v100 | 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 18h43:11 +00h 05m 06s [ 2740 tests] | 0 | 0 | |
v100 | 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 18h48:18 +00h 04m 52s [ 5848 tests] | 0 | 0 | |
v100 | 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 18h53:13 +00h 05m 01s [ 5848 tests] | 0 | 0 | |
v100 | 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 18h58:15 +00h 04m 58s [ 5848 tests] | 0 | 0 | |
v100 | 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 19h03:14 +00h 05m 10s [ 5848 tests] | 0 | 0 | |
v100 | 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 19h08:26 +00h 01m 39s [ 1184 tests] | 0 | 0 | |
v100 | 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 19h10:06 +00h 01m 39s [ 1184 tests] | 0 | 0 | |
v100 | 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 19h11:47 +00h 01m 37s [ 1184 tests] | 0 | 0 | |
v100 | 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 19h13:25 +00h 02m 02s [ 1184 tests] | 0 | 0 | |
v100 | 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 19h15:28 +00h 01m 18s [ 1223 tests] | 0 | 0 | |
v100 | 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 19h16:48 +00h 01m 11s [ 1223 tests] | 0 | 0 | |
v100 | 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 19h18:00 +00h 01m 10s [ 1223 tests] | 0 | 0 | |
v100 | 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 19h19:12 +00h 01m 14s [ 1223 tests] | 0 | 0 |