Methodology: the included graphs measure the accuracy of the forward and backward transforms: an array is generated with random uniform values between -0.5 and 0.5, and the results of its transform are compared with either pyfftw (in long double precision) if available, or scipy if available, or numpy fft. The L2 curve measures the average square norm difference, and the L∞ the maximum difference.
Note: for the R2C inverse transform, the result of the forward transform is used instead of re-using the random array (in order to have a proper half-Hermitian array), contrary to what is done for other transforms. This explains why the IFFT R2C maximum (L∞) errors are larger.
Note 2: some "errors" for DCT may be due to unsupported sizes in VkFFT, which vary depending on the card and language used (amount of shared/local memory). So they just indicate a current limit for the transform sizes rather than a real error.
[Click on the highlighted cells for details and accuracy graphs vs the transform size]
GPU | backend | transform | ndim | range | radix | dtype | inplace | LUT | norm | time-duration | FAIL | ERROR |
---|---|---|---|---|---|---|---|---|---|---|---|---|
v100 | pycuda | Regular multi-dimensional C2C/R2C/R2R test | 2023-12-08 17h30:00 +02h 24m 31s | 0 | 0 | |||||||
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 19h54:33 +00h 03m 37s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 19h58:13 +00h 02m 13s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h00:28 +00h 04m 40s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h05:11 +00h 03m 45s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h08:59 +00h 01m 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 | 2023-12-08 20h10:50 +00h 01m 40s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h12:31 +00h 09m 35s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h22:08 +00h 04m 31s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h26:40 +00h 06m 22s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h33:03 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h36:38 +00h 01m 52s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h38:31 +00h 02m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h41:31 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h45:07 +00h 01m 53s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h47:01 +00h 03m 01s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h50:03 +00h 04m 13s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h54:18 +00h 02m 19s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 20h56:38 +00h 03m 23s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h00:03 +00h 09m 39s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h09:43 +00h 04m 20s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h14:05 +00h 06m 02s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h20:09 +00h 03m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h23:52 +00h 01m 58s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h25:51 +00h 03m 06s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h28:58 +00h 03m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h32:41 +00h 01m 58s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h34:40 +00h 03m 02s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h37:44 +00h 04m 17s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h42:02 +00h 02m 23s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 21h44:27 +00h 03m 32s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 21h48:01 +00h 03m 55s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 21h51:57 +00h 02m 44s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 21h54:42 +00h 11m 32s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h06:15 +00h 04m 20s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h10:36 +00h 02m 03s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h12:40 +00h 03m 31s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h16:13 +00h 10m 50s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h27:05 +00h 05m 37s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h32:43 +00h 14m 17s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h47:02 +00h 04m 17s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h51:20 +00h 02m 13s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h53:34 +00h 05m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 22h59:34 +00h 04m 17s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h03:53 +00h 02m 14s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h06:08 +00h 05m 50s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h11:59 +00h 04m 40s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h16:41 +00h 02m 38s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h19:20 +00h 06m 28s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h25:50 +00h 10m 55s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h36:46 +00h 05m 31s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h42:18 +00h 13m 44s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 23h56:03 +00h 04m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h00:29 +00h 02m 18s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h02:48 +00h 05m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h08:47 +00h 04m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h13:13 +00h 02m 19s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h15:33 +00h 05m 54s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h21:29 +00h 04m 43s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h26:13 +00h 02m 43s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-09 00h28:58 +00h 07m 00s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h35:59 +00h 03m 16s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h39:17 +00h 02m 02s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h41:20 +00h 02m 57s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h44:18 +00h 03m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h48:01 +00h 01m 45s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h49:47 +00h 01m 33s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 00h51:22 +00h 09m 35s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h00:58 +00h 04m 30s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h05:29 +00h 04m 09s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h09:40 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h13:16 +00h 01m 53s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h15:10 +00h 01m 51s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h17:02 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h20:38 +00h 01m 52s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h22:31 +00h 01m 48s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h24:21 +00h 04m 13s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h28:36 +00h 02m 17s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h30:54 +00h 02m 07s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h33:02 +00h 09m 39s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h42:43 +00h 04m 19s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h47:04 +00h 03m 53s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h50:58 +00h 03m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h54:42 +00h 01m 57s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h56:40 +00h 01m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 01h58:39 +00h 03m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 02h02:22 +00h 01m 56s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 02h04:19 +00h 01m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 02h06:19 +00h 04m 17s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 02h10:37 +00h 02m 22s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-09 02h13:01 +00h 02m 05s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h15:07 +00h 03m 54s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h19:03 +00h 02m 36s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h21:41 +00h 05m 09s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h26:51 +00h 04m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h31:14 +00h 02m 02s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h33:18 +00h 02m 18s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h35:37 +00h 10m 50s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h46:29 +00h 05m 21s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 02h51:51 +00h 09m 11s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h01:03 +00h 04m 17s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h05:22 +00h 02m 06s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h07:29 +00h 03m 37s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h11:07 +00h 04m 17s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h15:26 +00h 02m 06s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h17:34 +00h 03m 35s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h21:10 +00h 04m 40s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h25:51 +00h 02m 28s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h28:21 +00h 03m 56s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h32:19 +00h 10m 55s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h43:16 +00h 05m 15s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h48:32 +00h 08m 31s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 03h57:05 +00h 04m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h01:30 +00h 02m 11s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h03:42 +00h 03m 34s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h07:18 +00h 04m 24s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h11:44 +00h 02m 12s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h13:57 +00h 03m 40s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h17:38 +00h 04m 43s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h22:22 +00h 02m 35s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-09 04h24:59 +00h 04m 02s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h29:02 +00h 03m 23s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h32:26 +00h 02m 07s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h34:35 +00h 04m 28s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h39:05 +00h 03m 46s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h42:52 +00h 01m 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 | 2023-12-09 04h44:41 +00h 01m 47s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h46:30 +00h 09m 41s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 04h56:12 +00h 04m 33s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h00:47 +00h 06m 22s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h07:10 +00h 03m 44s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h10:55 +00h 01m 57s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h12:53 +00h 03m 04s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h15:59 +00h 03m 44s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h19:44 +00h 01m 56s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h21:42 +00h 02m 58s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h24:41 +00h 04m 20s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h29:02 +00h 02m 19s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h31:23 +00h 03m 22s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h34:46 +00h 09m 44s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h44:32 +00h 04m 21s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h48:55 +00h 06m 03s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h55:00 +00h 03m 51s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 05h58:52 +00h 02m 01s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h00:54 +00h 03m 08s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h04:04 +00h 03m 51s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h07:57 +00h 02m 01s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h09:59 +00h 03m 04s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h13:05 +00h 04m 24s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h17:30 +00h 02m 25s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-09 06h19:56 +00h 03m 33s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h23:31 +00h 03m 22s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h26:54 +00h 02m 04s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h29:00 +00h 02m 46s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h31:47 +00h 03m 47s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h35:36 +00h 01m 47s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h37:24 +00h 01m 34s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h38:59 +00h 09m 42s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h48:43 +00h 04m 31s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h53:15 +00h 04m 17s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 06h57:34 +00h 03m 43s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h01:19 +00h 01m 55s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h03:15 +00h 01m 49s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h05:06 +00h 03m 44s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h08:51 +00h 01m 56s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h10:48 +00h 01m 53s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h12:42 +00h 04m 20s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h17:04 +00h 02m 18s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h19:23 +00h 02m 02s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h21:28 +00h 09m 44s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h31:14 +00h 04m 20s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h35:35 +00h 03m 50s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h39:27 +00h 03m 51s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h43:20 +00h 02m 00s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h45:21 +00h 01m 53s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h47:15 +00h 03m 51s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h51:08 +00h 02m 00s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h53:09 +00h 01m 59s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h55:09 +00h 04m 24s [ 1846 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 07h59:35 +00h 02m 24s [ 511 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-09 08h02:00 +00h 02m 10s [ 174 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h04:11 +00h 03m 16s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h07:29 +00h 02m 04s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h09:34 +00h 04m 17s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h13:53 +00h 03m 39s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h17:33 +00h 01m 44s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-09 08h19:19 +00h 01m 45s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h21:06 +00h 03m 55s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h25:02 +00h 02m 43s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h27:46 +00h 10m 44s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h38:31 +00h 04m 19s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h42:52 +00h 02m 03s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-09 08h44:56 +00h 03m 38s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 08h48:35 +00h 03m 16s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 08h51:53 +00h 02m 02s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 08h53:56 +00h 02m 46s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 08h56:43 +00h 03m 41s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 09h00:26 +00h 01m 44s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-09 09h02:11 +00h 01m 35s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h03:48 +00h 03m 54s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h07:43 +00h 02m 34s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h10:18 +00h 05m 04s [ 168 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h15:23 +00h 04m 21s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h19:46 +00h 02m 00s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-09 09h21:47 +00h 02m 26s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h24:15 +00h 03m 22s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h27:38 +00h 02m 07s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h29:46 +00h 04m 20s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h34:07 +00h 03m 45s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h37:54 +00h 01m 47s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-09 09h39:42 +00h 01m 46s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h41:30 +00h 03m 22s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h44:54 +00h 02m 05s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h47:01 +00h 02m 48s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h49:50 +00h 03m 47s [ 1847 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h53:38 +00h 01m 48s [ 512 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-09 09h55:27 +00h 01m 36s [ 175 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 09h57:05 +00h 38m 42s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 10h35:49 +00h 43m 09s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 11h18:59 +00h 20m 57s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 11h39:58 +00h 40m 51s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 12h20:51 +00h 36m 52s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 12h57:44 +00h 08m 19s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 13h06:05 +00h 39m 59s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 13h46:05 +00h 40m 52s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 14h26:59 +00h 16m 15s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 14h43:15 +00h 41m 29s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 15h24:46 +00h 39m 01s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 16h03:48 +00h 15m 17s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 16h19:06 +00h 41m 24s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 17h00:32 +00h 39m 01s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 17h39:34 +00h 15m 17s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 17h54:52 +00h 46m 58s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 18h41:52 +00h 41m 22s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 19h23:16 +00h 15m 13s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 19h38:30 +00h 40m 39s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 20h19:12 +00h 41m 14s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 21h00:28 +00h 16m 29s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 21h16:58 +00h 42m 33s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 21h59:33 +00h 39m 47s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 22h39:21 +00h 15m 30s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 22h54:53 +00h 42m 30s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 23h37:24 +00h 39m 46s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-10 00h17:11 +00h 15m 30s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-10 00h32:43 +00h 47m 58s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-10 01h20:42 +00h 42m 11s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-10 02h02:55 +00h 15m 36s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 02h18:32 +00h 41m 36s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 03h00:10 +00h 55m 15s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 03h55:26 +00h 51m 49s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 04h47:17 +00h 41m 09s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 05h28:27 +00h 41m 54s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 06h10:23 +00h 18m 11s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 06h28:35 +00h 43m 35s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 07h12:12 +00h 54m 33s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 08h06:47 +00h 38m 23s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 08h45:11 +00h 43m 39s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 09h28:51 +00h 45m 49s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 10h14:42 +00h 35m 29s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 10h50:13 +00h 43m 36s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 11h33:51 +00h 46m 03s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 12h19:56 +00h 34m 18s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 12h54:15 +00h 45m 56s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 13h40:13 +00h 47m 36s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 14h27:50 +00h 32m 52s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 15h00:52 +00h 44m 27s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 16h48:48 +00h 55m 28s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 17h44:28 +00h 39m 49s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 18h24:29 +00h 44m 44s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 19h09:21 +00h 46m 39s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 19h56:03 +00h 33m 43s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 20h29:49 +00h 44m 29s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 21h14:19 +00h 46m 39s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 22h01:00 +00h 34m 35s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 22h35:37 +00h 46m 38s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-10 23h22:18 +00h 48m 17s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-11 00h10:37 +00h 33m 54s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 00h44:33 +00h 38m 42s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 01h23:17 +00h 42m 39s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 02h05:57 +00h 13m 02s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 02h19:01 +00h 40m 54s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 02h59:56 +00h 36m 52s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 03h36:49 +00h 07m 17s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 03h44:07 +00h 40m 01s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 04h24:10 +00h 40m 37s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 05h04:48 +00h 09m 55s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 05h14:45 +00h 41m 29s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 05h56:15 +00h 38m 48s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 06h35:05 +00h 09m 03s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 06h44:09 +00h 41m 28s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 07h25:38 +00h 38m 50s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 08h04:30 +00h 09m 07s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 08h13:39 +00h 47m 06s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 09h00:48 +00h 41m 04s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 09h41:55 +00h 09m 12s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 09h51:08 +00h 40m 36s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 10h31:48 +00h 40m 55s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 11h12:45 +00h 09m 50s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 11h22:37 +00h 42m 38s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 12h05:18 +00h 39m 31s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 12h44:50 +00h 09m 21s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 12h54:13 +00h 42m 35s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 13h36:50 +00h 39m 33s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 14h16:25 +00h 09m 26s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 14h25:53 +00h 48m 01s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 15h13:55 +00h 41m 58s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-11 15h55:55 +00h 09m 21s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 16h05:18 +00h 41m 38s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 16h46:57 +00h 52m 11s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 17h39:10 +00h 24m 11s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 18h03:37 +00h 41m 21s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 18h45:00 +00h 41m 35s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 19h26:36 +00h 11m 27s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 19h38:05 +00h 43m 31s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 20h21:37 +00h 51m 37s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 21h13:16 +00h 23m 33s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 21h36:50 +00h 43m 40s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 22h20:31 +00h 43m 26s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 23h03:59 +00h 19m 56s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-11 23h23:56 +00h 43m 41s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 00h07:38 +00h 43m 30s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 00h51:11 +00h 19m 51s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 01h11:03 +00h 46m 12s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 01h57:17 +00h 44m 54s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 02h42:13 +00h 19m 18s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 03h01:33 +00h 44m 27s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 03h46:01 +00h 52m 19s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 04h38:22 +00h 23m 14s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 05h01:37 +00h 44m 29s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 05h46:07 +00h 44m 13s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 06h30:21 +00h 20m 20s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 06h50:43 +00h 44m 25s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 07h35:10 +00h 44m 03s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 08h19:15 +00h 20m 25s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 08h39:41 +00h 46m 30s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 09h26:13 +00h 45m 45s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-12 10h12:00 +00h 19m 42s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 10h31:43 +00h 39m 18s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 11h11:14 +00h 43m 55s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 11h55:24 +00h 20m 53s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 12h16:20 +00h 41m 34s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 12h58:09 +00h 37m 14s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 13h35:26 +00h 08m 13s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 13h43:40 +00h 40m 21s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 14h24:03 +00h 41m 28s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 15h05:45 +00h 16m 37s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-12 15h22:26 +00h 42m 22s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 19h32:33 +00h 39m 28s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 20h12:03 +00h 15m 14s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 20h27:19 +00h 41m 50s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 21h09:10 +00h 39m 13s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 21h48:25 +00h 15m 14s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 22h03:40 +00h 46m 57s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 22h50:38 +00h 41m 23s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 23h32:03 +00h 15m 13s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-15 23h47:17 +00h 40m 49s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 00h28:07 +00h 41m 12s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 01h09:21 +00h 16m 23s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 01h25:46 +00h 42m 48s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 02h08:35 +00h 39m 53s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 02h48:29 +00h 15m 25s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 03h03:56 +00h 42m 52s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 03h46:49 +00h 39m 56s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 04h26:46 +00h 15m 29s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 04h42:17 +00h 47m 59s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 05h30:17 +00h 42m 10s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-16 06h12:28 +00h 15m 28s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 06h27:58 +00h 38m 59s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 07h06:58 +00h 42m 45s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 07h49:45 +00h 12m 51s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 08h02:37 +00h 41m 04s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 08h43:43 +00h 37m 03s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 09h20:47 +00h 07m 16s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 09h28:04 +00h 40m 10s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 10h08:15 +00h 40m 33s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 10h48:50 +00h 09m 54s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 10h58:45 +00h 41m 41s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 11h40:27 +00h 38m 54s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 12h19:23 +00h 09m 14s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 12h28:39 +00h 41m 43s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 13h10:23 +00h 38m 56s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 13h49:21 +00h 09m 03s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 13h58:25 +00h 46m 59s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 14h45:26 +00h 41m 03s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 15h26:31 +00h 09m 06s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 15h35:38 +00h 40m 53s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 16h16:33 +00h 41m 14s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 16h57:49 +00h 09m 57s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 17h07:48 +00h 42m 50s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 17h50:39 +00h 39m 41s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 18h30:22 +00h 09m 20s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 18h39:43 +00h 42m 56s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 19h22:41 +00h 39m 41s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 20h02:23 +00h 09m 07s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-16 20h11:32 +00h 48m 00s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 20h59:33 +00h 41m 52s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-16 21h41:27 +00h 09m 15s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-16 21h50:43 +00h 38m 34s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-16 22h29:19 +00h 42m 52s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-16 23h12:12 +00h 20m 49s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-16 23h33:03 +00h 40m 38s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-17 00h13:42 +00h 36m 43s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-17 00h50:27 +00h 08m 11s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 00h58:39 +00h 41m 19s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 01h40:00 +00h 55m 08s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 02h35:09 +00h 52m 40s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 03h27:51 +00h 41m 00s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 04h08:52 +00h 41m 44s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-17 04h50:38 +00h 18m 07s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 05h08:47 +00h 38m 35s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 05h47:23 +00h 42m 06s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 06h29:30 +00h 12m 51s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 06h42:22 +00h 40m 43s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 07h23:06 +00h 36m 48s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-17 07h59:56 +00h 07m 18s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 08h07:15 +00h 41m 24s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 08h48:40 +00h 52m 09s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 09h40:51 +00h 23m 29s [ 343 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 10h04:21 +00h 41m 05s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 10h45:28 +00h 41m 29s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-17 11h26:58 +00h 11m 24s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 11h38:24 +00h 38m 57s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 12h17:23 +00h 43m 13s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 13h00:36 +00h 20m 51s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 13h21:28 +00h 41m 02s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 14h02:31 +00h 37m 02s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-17 14h39:35 +00h 08m 09s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-17 14h47:45 +00h 38m 55s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-17 15h26:42 +00h 42m 45s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-17 16h09:29 +00h 12m 59s [ 374 tests] | 0 | 0 | |
v100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-17 16h22:29 +00h 41m 02s [ 9267 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-17 17h03:33 +00h 37m 01s [ 3987 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-17 17h40:35 +00h 07m 25s [ 374 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 | 2023-12-17 17h48:02 +00h 10m 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 | 2023-12-17 17h59:02 +00h 11m 09s [ 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 | 2023-12-17 18h10:13 +00h 10m 43s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-17 18h20:57 +00h 14m 02s [ 2740 tests] | 0 | 0 | |
v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-17 18h35:00 +00h 15m 02s [ 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 | 2023-12-17 18h50:04 +00h 15m 11s [ 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 | 2023-12-17 19h05:17 +00h 14m 59s [ 5848 tests] | 0 | 0 |