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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
h100 | pycuda | Regular multi-dimensional C2C/R2C/R2R test | 2023-12-08 17h32:20 +00h 25m 10s | 0 | 0 | |||||||
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 17h57:31 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 17h58:35 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 17h59:10 +00h 00m 42s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 17h59:53 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h01:08 +00h 00m 33s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h01:42 +00h 00m 28s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h02:12 +00h 02m 30s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h04:43 +00h 01m 17s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h06:01 +00h 01m 08s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h07:10 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h08:13 +00h 00m 36s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h08:51 +00h 00m 33s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h09:25 +00h 01m 03s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h10:28 +00h 00m 36s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h11:06 +00h 00m 33s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h11:40 +00h 01m 26s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h13:06 +00h 00m 43s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h13:50 +00h 00m 38s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h14:29 +00h 02m 32s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h17:02 +00h 01m 15s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h18:19 +00h 01m 06s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h19:26 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h20:32 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h21:10 +00h 00m 34s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h21:46 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h22:52 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h23:31 +00h 00m 34s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h24:06 +00h 01m 24s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h25:31 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h26:16 +00h 00m 39s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h26:57 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h28:00 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h28:39 +00h 01m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h30:12 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h31:20 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h31:56 +00h 00m 40s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h32:36 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h35:20 +00h 01m 22s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h36:43 +00h 02m 39s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h39:24 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h40:33 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h41:12 +00h 01m 09s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h42:22 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h43:31 +00h 00m 37s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h44:10 +00h 01m 08s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h45:19 +00h 01m 17s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h46:39 +00h 00m 47s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h47:27 +00h 01m 18s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h48:45 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h51:29 +00h 01m 22s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h52:52 +00h 02m 41s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h55:34 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h56:46 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h57:26 +00h 01m 09s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h58:36 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h59:47 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h00:27 +00h 01m 09s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h01:37 +00h 01m 18s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h02:58 +00h 00m 48s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h03:48 +00h 01m 20s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h05:09 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h06:12 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h06:51 +00h 00m 38s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h07:30 +00h 01m 17s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h08:48 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h09:23 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h09:54 +00h 02m 33s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h12:27 +00h 01m 24s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h13:52 +00h 01m 01s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h14:54 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h16:01 +00h 00m 36s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h16:38 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h17:09 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h18:12 +00h 00m 36s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h18:49 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h19:20 +00h 01m 28s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h20:49 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h21:35 +00h 00m 33s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h22:09 +00h 02m 36s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h24:46 +00h 01m 17s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h26:07 +00h 00m 58s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h27:05 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h28:14 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h28:52 +00h 00m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h29:25 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h30:31 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h31:10 +00h 00m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h31:42 +00h 01m 24s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h33:06 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h33:52 +00h 00m 35s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h34:28 +00h 01m 03s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h35:31 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h36:11 +00h 00m 50s [ 168 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h37:01 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h38:13 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h38:49 +00h 00m 38s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h39:28 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h42:12 +00h 01m 23s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h43:36 +00h 01m 43s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h45:20 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h46:34 +00h 00m 37s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h47:13 +00h 00m 42s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h47:56 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h49:10 +00h 00m 41s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h49:52 +00h 00m 42s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h50:35 +00h 01m 17s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h51:53 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h52:39 +00h 00m 49s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h53:29 +00h 02m 47s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h56:17 +00h 01m 19s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h57:37 +00h 01m 39s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h59:17 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h00:32 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h01:12 +00h 00m 46s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h01:59 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h03:14 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h03:54 +00h 00m 44s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h04:39 +00h 01m 18s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h05:58 +00h 00m 47s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h06:46 +00h 00m 49s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h07:36 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h08:47 +00h 00m 37s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h09:25 +00h 00m 42s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h10:08 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h11:25 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h12:00 +00h 00m 32s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h12:33 +00h 02m 32s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h15:06 +00h 01m 18s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h16:25 +00h 01m 10s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h17:36 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h18:42 +00h 00m 41s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h19:24 +00h 00m 34s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h19:58 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h21:10 +00h 00m 37s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h21:48 +00h 00m 34s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h22:23 +00h 01m 28s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h23:51 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h24:37 +00h 00m 38s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h25:17 +00h 02m 35s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h27:53 +00h 01m 16s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h29:10 +00h 01m 06s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h30:17 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h31:29 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h32:09 +00h 00m 35s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h32:45 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h33:57 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h34:36 +00h 00m 35s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h35:16 +00h 01m 26s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h36:44 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h37:30 +00h 00m 40s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h38:11 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h39:19 +00h 00m 40s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h40:00 +00h 00m 38s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h40:39 +00h 01m 17s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h41:58 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h42:33 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h43:03 +00h 02m 33s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h45:37 +00h 01m 18s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h46:56 +00h 01m 00s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h47:58 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h49:07 +00h 00m 37s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h49:45 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h50:16 +00h 01m 05s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h51:22 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h52:02 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h52:34 +00h 01m 24s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h53:59 +00h 00m 44s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h54:43 +00h 00m 34s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h55:18 +00h 02m 34s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h57:53 +00h 01m 16s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h59:10 +00h 00m 58s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h00:09 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h01:17 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h01:57 +00h 00m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h02:29 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h03:40 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h04:20 +00h 00m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h04:52 +00h 01m 25s [ 1846 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h06:19 +00h 00m 45s [ 511 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h07:05 +00h 00m 37s [ 174 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h07:43 +00h 01m 01s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h08:46 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h09:21 +00h 00m 41s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h10:04 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h11:18 +00h 00m 33s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h11:52 +00h 00m 32s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h12:25 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h13:28 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h14:08 +00h 01m 31s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h15:40 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h16:51 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h17:26 +00h 00m 41s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h18:09 +00h 01m 01s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h19:12 +00h 00m 35s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h19:47 +00h 00m 38s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h20:26 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h21:43 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h22:18 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h22:49 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h23:52 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h24:32 +00h 00m 52s [ 168 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h25:24 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h26:32 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h27:11 +00h 00m 37s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h27:49 +00h 01m 04s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h28:54 +00h 00m 39s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h29:34 +00h 00m 42s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h30:17 +00h 01m 17s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h31:34 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h32:09 +00h 00m 28s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h32:39 +00h 01m 04s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h33:45 +00h 00m 38s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h34:24 +00h 00m 38s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h35:03 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h36:21 +00h 00m 34s [ 512 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h36:56 +00h 00m 30s [ 175 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 21h37:28 +00h 12m 43s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 21h50:11 +00h 09m 47s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 21h59:59 +00h 02m 47s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h02:47 +00h 13m 09s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h15:58 +00h 09m 19s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h25:18 +00h 01m 35s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h26:54 +00h 12m 13s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h39:08 +00h 10m 08s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h49:17 +00h 02m 27s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h51:46 +00h 14m 11s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h05:58 +00h 09m 46s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h15:45 +00h 02m 20s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h18:06 +00h 14m 05s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h32:12 +00h 09m 46s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h41:59 +00h 02m 19s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h44:19 +00h 14m 17s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h58:38 +00h 10m 22s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h09:01 +00h 02m 28s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h11:29 +00h 12m 17s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h23:48 +00h 10m 14s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h34:03 +00h 02m 29s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h36:33 +00h 14m 23s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h50:57 +00h 10m 03s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h01:01 +00h 02m 25s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h03:31 +00h 14m 25s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h17:56 +00h 10m 01s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h27:58 +00h 02m 25s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h30:24 +00h 14m 37s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h45:02 +00h 10m 38s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h55:42 +00h 02m 32s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 01h58:14 +00h 10m 38s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h08:53 +00h 10m 21s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h19:15 +00h 07m 39s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h26:55 +00h 11m 11s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h38:07 +00h 09m 30s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h47:38 +00h 02m 52s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h50:31 +00h 10m 35s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h01:07 +00h 11m 00s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h12:08 +00h 06m 46s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h18:55 +00h 11m 14s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h30:10 +00h 10m 18s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h40:29 +00h 05m 56s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h46:27 +00h 11m 10s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h57:37 +00h 10m 21s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h07:59 +00h 06m 00s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h14:00 +00h 12m 37s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h26:39 +00h 10m 51s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h37:31 +00h 06m 01s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h43:32 +00h 10m 44s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h54:18 +00h 11m 16s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h05:35 +00h 06m 40s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h12:15 +00h 11m 24s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h23:40 +00h 10m 31s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h34:12 +00h 06m 10s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h40:23 +00h 11m 24s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h51:48 +00h 10m 36s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h02:25 +00h 06m 09s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h08:35 +00h 12m 42s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h21:18 +00h 10m 56s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h32:15 +00h 06m 06s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 06h38:23 +00h 12m 38s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 06h51:01 +00h 09m 40s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h00:43 +00h 02m 13s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h02:56 +00h 13m 06s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h16:03 +00h 09m 16s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h25:22 +00h 01m 45s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h27:08 +00h 12m 01s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h39:10 +00h 10m 06s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h49:17 +00h 01m 55s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h51:13 +00h 13m 55s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h05:09 +00h 09m 40s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h14:50 +00h 01m 48s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h16:39 +00h 13m 55s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h30:36 +00h 09m 39s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h40:16 +00h 01m 49s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h42:06 +00h 14m 15s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h56:22 +00h 10m 12s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h06:35 +00h 01m 54s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h08:30 +00h 12m 09s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h20:40 +00h 10m 14s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h30:55 +00h 01m 54s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h32:50 +00h 14m 16s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h47:07 +00h 09m 55s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h57:02 +00h 01m 50s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h58:54 +00h 14m 18s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h13:13 +00h 09m 54s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h23:07 +00h 01m 50s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h24:59 +00h 14m 32s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h39:32 +00h 10m 27s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h50:00 +00h 01m 56s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 10h51:57 +00h 10m 36s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h02:34 +00h 10m 14s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h12:49 +00h 03m 12s [ 343 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h16:02 +00h 11m 05s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h27:07 +00h 09m 25s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h36:34 +00h 02m 15s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h38:50 +00h 10m 27s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 11h49:18 +00h 10m 57s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h00:16 +00h 03m 43s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h04:01 +00h 11m 02s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h15:04 +00h 10m 11s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h25:16 +00h 03m 16s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h28:34 +00h 11m 02s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h39:37 +00h 10m 09s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h49:47 +00h 03m 17s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h53:06 +00h 12m 29s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h05:36 +00h 10m 40s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h16:17 +00h 03m 16s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h19:34 +00h 10m 38s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h30:13 +00h 11m 07s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h41:22 +00h 03m 44s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h45:07 +00h 11m 17s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h56:25 +00h 10m 23s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h06:49 +00h 03m 20s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h10:10 +00h 11m 21s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h21:32 +00h 10m 23s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h31:56 +00h 03m 22s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h35:19 +00h 12m 42s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h48:02 +00h 10m 56s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h58:59 +00h 03m 20s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h02:20 +00h 12m 49s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h15:10 +00h 09m 47s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h24:58 +00h 02m 47s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h27:46 +00h 13m 18s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h41:05 +00h 09m 18s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h50:24 +00h 01m 36s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 15h52:01 +00h 12m 13s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h04:15 +00h 10m 12s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h14:28 +00h 02m 28s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h16:57 +00h 14m 07s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h31:05 +00h 09m 45s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h40:51 +00h 02m 20s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h43:11 +00h 14m 05s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 16h57:17 +00h 09m 47s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h07:05 +00h 02m 20s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h09:26 +00h 14m 18s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h23:45 +00h 10m 15s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h34:02 +00h 02m 27s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h36:30 +00h 12m 21s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h48:52 +00h 10m 22s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h59:15 +00h 02m 29s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h01:45 +00h 14m 30s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h16:15 +00h 10m 04s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h26:20 +00h 02m 22s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h28:44 +00h 14m 35s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h43:20 +00h 10m 02s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h53:25 +00h 02m 23s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h55:49 +00h 14m 40s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h10:30 +00h 10m 36s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h21:07 +00h 02m 31s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 19h23:39 +00h 12m 49s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 19h36:29 +00h 09m 49s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 19h46:20 +00h 02m 14s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 19h48:35 +00h 13m 17s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h01:53 +00h 09m 22s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h11:15 +00h 01m 40s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h12:57 +00h 12m 14s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h25:11 +00h 10m 12s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h35:24 +00h 01m 56s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h37:21 +00h 14m 08s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 20h51:31 +00h 09m 45s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h01:16 +00h 01m 48s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h03:05 +00h 14m 06s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h17:12 +00h 09m 45s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h26:58 +00h 01m 49s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h28:48 +00h 14m 19s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h43:07 +00h 10m 15s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h53:23 +00h 01m 54s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h55:18 +00h 12m 21s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h07:40 +00h 10m 21s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h18:02 +00h 01m 55s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h19:58 +00h 14m 26s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h34:26 +00h 10m 01s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h44:27 +00h 01m 51s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h46:19 +00h 14m 27s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h00:47 +00h 10m 01s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h10:50 +00h 01m 51s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h12:42 +00h 14m 37s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h27:20 +00h 10m 31s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h37:52 +00h 01m 57s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-09 23h39:50 +00h 12m 35s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-09 23h52:26 +00h 09m 45s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 00h02:12 +00h 02m 47s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 00h05:00 +00h 13m 05s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 00h18:06 +00h 09m 09s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 00h27:16 +00h 01m 36s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 00h28:53 +00h 10m 33s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 00h39:27 +00h 10m 17s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 00h49:45 +00h 07m 38s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 00h57:23 +00h 11m 06s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 01h08:30 +00h 09m 18s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 01h17:49 +00h 02m 48s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 01h20:38 +00h 12m 37s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 01h33:15 +00h 09m 39s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 01h42:56 +00h 02m 13s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 01h45:10 +00h 13m 06s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 01h58:17 +00h 09m 16s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 02h07:34 +00h 01m 40s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h09:14 +00h 10m 33s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h19:49 +00h 10m 15s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h30:05 +00h 03m 12s [ 343 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h33:18 +00h 11m 04s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h44:24 +00h 09m 21s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 02h53:45 +00h 02m 15s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 02h56:01 +00h 12m 45s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 03h08:47 +00h 09m 51s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 03h18:39 +00h 02m 47s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 03h21:27 +00h 13m 16s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 03h34:44 +00h 09m 16s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 03h44:02 +00h 01m 35s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 03h45:38 +00h 12m 45s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 03h58:24 +00h 09m 49s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 04h08:14 +00h 02m 13s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 04h10:29 +00h 13m 15s [ 9267 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 04h23:45 +00h 09m 21s [ 3987 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 04h33:07 +00h 01m 40s [ 374 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 04h34:48 +00h 02m 22s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 04h37:10 +00h 02m 25s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 04h39:36 +00h 02m 22s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 04h41:59 +00h 02m 39s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 04h44:39 +00h 03m 05s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 04h47:45 +00h 03m 12s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 04h50:58 +00h 03m 05s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 04h54:04 +00h 03m 13s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 04h57:18 +00h 02m 12s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 04h59:31 +00h 02m 15s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 05h01:48 +00h 02m 15s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 05h04:03 +00h 02m 20s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 05h06:24 +00h 03m 21s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 05h09:47 +00h 03m 24s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 05h13:11 +00h 03m 21s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 05h16:34 +00h 03m 28s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 05h20:03 +00h 06m 07s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 05h26:11 +00h 06m 13s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 05h32:24 +00h 06m 08s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 05h38:34 +00h 06m 31s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 05h45:06 +00h 05m 01s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 05h50:08 +00h 05m 04s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 05h55:13 +00h 05m 01s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 06h00:15 +00h 05m 12s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 06h05:29 +00h 02m 28s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 06h07:58 +00h 02m 32s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 06h10:31 +00h 02m 28s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 06h13:00 +00h 02m 34s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 06h15:36 +00h 04m 01s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 06h19:38 +00h 04m 04s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 06h23:43 +00h 04m 05s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 06h27:49 +00h 04m 10s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 06h31:59 +00h 02m 28s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 06h34:29 +00h 02m 32s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 06h37:02 +00h 02m 28s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 06h39:31 +00h 02m 35s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 06h42:07 +00h 04m 01s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 06h46:09 +00h 04m 04s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 06h50:14 +00h 04m 01s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 06h54:16 +00h 04m 10s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 06h58:27 +00h 03m 04s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 07h01:32 +00h 03m 06s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 07h04:39 +00h 03m 02s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 07h07:42 +00h 03m 16s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 07h10:59 +00h 05m 44s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 07h16:44 +00h 05m 45s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 07h22:30 +00h 05m 42s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 07h28:13 +00h 05m 57s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 07h34:11 +00h 06m 02s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 07h40:15 +00h 06m 05s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 07h46:21 +00h 06m 02s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 07h52:24 +00h 06m 23s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 07h58:48 +00h 05m 13s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h04:01 +00h 05m 16s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h09:18 +00h 05m 13s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h14:32 +00h 05m 25s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h19:58 +00h 02m 36s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h22:35 +00h 02m 41s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h25:17 +00h 02m 36s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h27:54 +00h 02m 47s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h30:43 +00h 04m 21s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h35:05 +00h 04m 21s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h39:27 +00h 04m 18s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h43:45 +00h 04m 29s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h48:16 +00h 02m 36s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h50:53 +00h 02m 41s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h53:35 +00h 02m 36s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h56:12 +00h 02m 42s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h58:56 +00h 04m 18s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h03:15 +00h 04m 21s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h07:36 +00h 04m 18s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h11:55 +00h 04m 29s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 09h16:25 +00h 03m 15s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h19:42 +00h 03m 15s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h22:57 +00h 03m 12s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h26:10 +00h 03m 25s [ 2740 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 09h29:36 +00h 06m 05s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h35:42 +00h 06m 06s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h41:49 +00h 06m 04s [ 5848 tests] | 0 | 0 | |
h100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h47:55 +00h 06m 27s [ 5848 tests] | 0 | 0 |