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 | 2023-06-02 13h30:24 +00h 03m 18s | 0 | 0 | |||||||
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h33:43 +00h 00m 57s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h34:42 +00h 00m 49s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h35:33 +00h 02m 57s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h38:31 +00h 00m 52s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h39:24 +00h 00m 33s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h39:59 +00h 00m 50s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h40:50 +00h 00m 25s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h41:16 +00h 00m 31s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h41:48 +00h 01m 23s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h43:13 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h43:37 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h44:06 +00h 00m 45s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h44:53 +00h 00m 23s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h45:17 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h45:45 +00h 00m 46s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h46:33 +00h 00m 26s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h47:00 +00h 00m 32s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-06-02 13h47:33 +00h 00m 54s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h48:29 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h49:36 +00h 01m 25s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h51:06 +00h 06m 50s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h57:58 +00h 01m 00s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h59:00 +00h 00m 39s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 13h59:40 +00h 01m 48s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h01:30 +00h 00m 21s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h01:52 +00h 00m 24s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h02:18 +00h 03m 01s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h05:20 +00h 00m 21s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h05:43 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h06:13 +00h 01m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h07:53 +00h 00m 21s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h08:16 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h08:45 +00h 01m 33s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h10:20 +00h 00m 24s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h10:46 +00h 00m 34s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-06-02 14h11:23 +00h 01m 43s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h13:08 +00h 00m 56s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h14:05 +00h 00m 45s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h14:52 +00h 01m 37s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h16:30 +00h 01m 02s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h17:46 +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 | 2023-06-02 14h18:22 +00h 00m 39s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h19:02 +00h 00m 24s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h19:28 +00h 00m 30s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h19:59 +00h 01m 05s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h21:07 +00h 00m 26s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h21:37 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h22:06 +00h 00m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h22:47 +00h 00m 21s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h23:10 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h23:38 +00h 00m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h24:19 +00h 00m 25s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h24:45 +00h 00m 32s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-06-02 14h25:18 +00h 00m 44s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h26:04 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h27:11 +00h 01m 04s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h28:17 +00h 03m 35s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h31:53 +00h 01m 07s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h33:03 +00h 00m 38s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h33:42 +00h 01m 16s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h35:00 +00h 00m 21s [ 209 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h35:22 +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 | 2023-06-02 14h35:47 +00h 02m 06s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h37:54 +00h 00m 21s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h38:16 +00h 00m 28s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h38:46 +00h 01m 16s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h40:13 +00h 00m 22s [ 424 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h40:37 +00h 00m 29s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h41:08 +00h 01m 12s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3071 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h42:22 +00h 00m 25s [ 423 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-06-02 14h42:48 +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 | 2023-06-02 14h43:24 +00h 01m 19s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h44:44 +00h 00m 57s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h45:43 +00h 00m 48s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h46:33 +00h 02m 47s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h49:21 +00h 00m 53s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h50:15 +00h 00m 33s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h50:50 +00h 00m 48s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h51:39 +00h 00m 24s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h52:04 +00h 00m 30s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h52:36 +00h 01m 19s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h53:57 +00h 00m 21s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h54:20 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h54:48 +00h 00m 49s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h55:39 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h56:02 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h56:30 +00h 00m 48s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h57:19 +00h 00m 25s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h57:46 +00h 00m 31s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-06-02 14h58:19 +00h 00m 52s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 14h59:13 +00h 00m 57s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h00:11 +00h 00m 45s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h00:58 +00h 01m 41s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h02:40 +00h 00m 53s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h03:34 +00h 00m 32s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h04:07 +00h 00m 40s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h04:49 +00h 00m 26s [ 299 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h05:17 +00h 00m 30s [ 245 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h05:49 +00h 01m 04s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h06:54 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h07:18 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h07:46 +00h 00m 39s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h08:27 +00h 00m 22s [ 489 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h08:50 +00h 00m 27s [ 349 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h09:18 +00h 00m 40s [ 165 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-4096 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h10:00 +00h 00m 25s [ 488 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h10:27 +00h 00m 32s [ 348 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-06-02 15h11:00 +00h 00m 45s [ 164 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h11:47 +00h 00m 56s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h12:44 +00h 00m 50s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h13:35 +00h 02m 43s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h16:20 +00h 00m 52s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h17:13 +00h 00m 32s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-06-02 15h17:46 +00h 00m 45s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-06-02 15h18:33 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-06-02 15h19:39 +00h 01m 17s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-06-02 15h20:58 +00h 06m 45s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-06-02 15h27:44 +00h 01m 00s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-06-02 15h28:45 +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 | 2023-06-02 15h29:25 +00h 01m 55s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h31:22 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h32:30 +00h 01m 00s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h33:32 +00h 01m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h35:31 +00h 01m 03s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h36:36 +00h 00m 44s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-06-02 15h37:21 +00h 00m 41s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h38:03 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h39:10 +00h 01m 00s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h40:11 +00h 03m 37s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h43:50 +00h 00m 59s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h44:51 +00h 00m 37s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-06-02 15h45:29 +00h 01m 18s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h46:48 +00h 00m 57s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h47:46 +00h 00m 51s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h48:39 +00h 02m 46s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h51:26 +00h 00m 52s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h52:20 +00h 00m 32s [ 368 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-06-02 15h52:54 +00h 00m 48s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-06-02 15h53:43 +00h 00m 56s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-06-02 15h54:41 +00h 00m 47s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-06-02 15h55:29 +00h 01m 44s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-06-02 15h57:14 +00h 00m 53s [ 1420 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-06-02 15h58:09 +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 | 2023-06-02 15h58:43 +00h 00m 39s [ 118 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 15h59:23 +00h 08m 31s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h07:56 +00h 11m 37s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h19:35 +00h 11m 02s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h30:38 +00h 04m 23s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h35:02 +00h 03m 59s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h39:03 +00h 01m 52s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h40:57 +00h 00m 57s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h41:56 +00h 01m 06s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h43:03 +00h 02m 48s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h45:52 +00h 02m 08s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h48:02 +00h 02m 40s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h50:44 +00h 02m 46s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h53:31 +00h 02m 07s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h55:40 +00h 02m 42s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 16h58:23 +00h 02m 43s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 17h01:08 +00h 02m 28s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 17h03:37 +00h 03m 10s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-06-02 17h06:48 +00h 02m 54s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 17h09:43 +00h 09m 18s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 17h19:04 +00h 19m 48s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 17h38:53 +00h 29m 39s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h08:34 +00h 04m 20s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h12:55 +00h 04m 52s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h17:49 +00h 04m 50s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h22:40 +00h 00m 31s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h23:12 +00h 00m 35s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h23:48 +00h 07m 03s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h30:53 +00h 01m 02s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h31:57 +00h 01m 15s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h33:13 +00h 20m 01s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h53:16 +00h 00m 58s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h54:16 +00h 01m 10s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 18h55:28 +00h 06m 25s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 19h01:54 +00h 01m 07s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 19h03:03 +00h 01m 26s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-06-02 19h04:30 +00h 06m 41s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h11:13 +00h 08m 28s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h19:42 +00h 09m 46s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h29:29 +00h 06m 18s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h35:49 +00h 04m 20s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h40:11 +00h 03m 55s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h44:07 +00h 01m 21s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h45:30 +00h 00m 53s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h46:24 +00h 01m 02s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h47:28 +00h 01m 52s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h49:22 +00h 02m 03s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h51:26 +00h 02m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h54:05 +00h 01m 52s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h55:59 +00h 02m 04s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 19h58:04 +00h 02m 37s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 20h00:42 +00h 01m 53s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 20h02:37 +00h 02m 23s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 20h05:01 +00h 03m 06s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-06-02 20h08:09 +00h 01m 53s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h10:03 +00h 09m 14s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h19:19 +00h 13m 14s [ 3987 tests] | 0 | ||
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h32:34 +00h 13m 09s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h45:45 +00h 04m 15s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h50:01 +00h 04m 47s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h54:50 +00h 02m 48s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-760 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h57:39 +00h 00m 28s [ 550 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-512 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h58:08 +00h 00m 32s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 20h58:41 +00h 04m 22s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h03:05 +00h 00m 59s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h04:06 +00h 01m 11s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h05:18 +00h 03m 55s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h09:15 +00h 00m 59s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h10:15 +00h 01m 11s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h11:28 +00h 03m 58s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-1500 | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h15:28 +00h 01m 07s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-1024 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h16:36 +00h 01m 26s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-06-02 21h18:04 +00h 04m 08s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 21h22:13 +00h 08m 31s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 21h30:46 +00h 11m 41s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 21h42:28 +00h 11m 22s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 21h53:52 +00h 04m 20s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 21h58:13 +00h 03m 57s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h02:12 +00h 01m 48s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h04:02 +00h 00m 53s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h04:57 +00h 01m 03s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h06:01 +00h 02m 43s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h08:45 +00h 02m 05s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h10:51 +00h 02m 39s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h13:31 +00h 02m 48s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h16:21 +00h 02m 05s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h18:27 +00h 02m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h21:07 +00h 02m 43s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h23:51 +00h 02m 23s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h26:16 +00h 03m 06s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-06-02 22h29:23 +00h 02m 52s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 22h32:17 +00h 08m 33s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 22h40:51 +00h 09m 51s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 22h50:44 +00h 06m 27s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 22h57:12 +00h 04m 22s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h01:36 +00h 03m 56s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h05:33 +00h 01m 18s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-1500 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h06:53 +00h 00m 54s [ 1200 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-1024 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h07:48 +00h 01m 03s [ 778 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h08:52 +00h 01m 54s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h10:48 +00h 02m 05s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h12:54 +00h 02m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h15:33 +00h 01m 54s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-3000 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h17:29 +00h 02m 05s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h19:34 +00h 02m 38s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h22:14 +00h 01m 53s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-3000 | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h24:09 +00h 02m 23s [ 2579 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-2047 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h26:33 +00h 03m 06s [ 1697 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-500 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-06-02 23h29:41 +00h 02m 05s [ 334 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-02 23h31:47 +00h 08m 27s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-02 23h40:15 +00h 11m 31s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-02 23h51:48 +00h 10m 46s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-03 00h02:36 +00h 04m 18s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-03 00h06:56 +00h 03m 53s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-06-03 00h10:50 +00h 01m 47s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 00h12:39 +00h 09m 12s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 00h21:53 +00h 20m 19s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 00h42:13 +00h 29m 38s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 01h11:53 +00h 04m 15s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 01h16:09 +00h 04m 48s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-06-03 01h20:58 +00h 04m 48s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h25:47 +00h 08m 27s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h34:17 +00h 10m 00s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h44:18 +00h 06m 37s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h50:57 +00h 04m 19s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h55:18 +00h 03m 55s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-06-03 01h59:14 +00h 01m 19s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h00:35 +00h 09m 12s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h09:48 +00h 13m 47s [ 3987 tests] | 0 | ||
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h23:37 +00h 13m 26s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h37:04 +00h 04m 15s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h41:21 +00h 04m 43s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-06-03 02h46:05 +00h 02m 47s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 02h48:53 +00h 08m 32s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 02h57:26 +00h 11m 47s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 03h09:14 +00h 10m 58s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 03h20:13 +00h 04m 21s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 03h24:36 +00h 03m 54s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-06-03 03h28:31 +00h 01m 45s [ 157 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-06-03 03h30:17 +00h 08m 31s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-06-03 03h38:49 +00h 09m 39s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-06-03 03h48:29 +00h 05m 58s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-06-03 03h54:28 +00h 04m 22s [ 4463 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-06-03 03h58:52 +00h 03m 57s [ 1882 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-06-03 04h02:50 +00h 01m 18s [ 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 | 2023-06-03 04h04:10 +00h 02m 59s [ 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 | 2023-06-03 04h07:10 +00h 02m 59s [ 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 | 2023-06-03 04h10:11 +00h 03m 10s [ 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 | 2023-06-03 04h13:22 +00h 04m 27s [ 2740 tests] | 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 | 2023-06-03 04h17:51 +00h 03m 27s [ 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 | 2023-06-03 04h21:19 +00h 03m 29s [ 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 | 2023-06-03 04h24:50 +00h 03m 26s [ 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 | 2023-06-03 04h28:17 +00h 03m 37s [ 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 | 2023-06-03 04h31:56 +00h 01m 07s [ 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 | 2023-06-03 04h33:04 +00h 01m 11s [ 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 | 2023-06-03 04h34:17 +00h 01m 09s [ 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 | 2023-06-03 04h35:27 +00h 01m 30s [ 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 | 2023-06-03 04h36:58 +00h 00m 55s [ 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 | 2023-06-03 04h37:54 +00h 00m 55s [ 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 | 2023-06-03 04h38:51 +00h 00m 55s [ 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 | 2023-06-03 04h39:47 +00h 00m 57s [ 1223 tests] | 0 | 0 |