NumPy - Unique Elements NumPy - Intersection NumPy - Union NumPy - Difference NumPy Random Number Generation NumPy - Random Generator NumPy - Permutations & Shuffling NumPy - Uniform distribution NumPy - Normal distribution NumPy - Binomial distribution NumPy - Poisson distribution NumPy - Exponential di...
🐛 Describe the bug When swapping output sequence to (div, pad_1, interpolate) in this model: class Model0(): def forward(self, *args): cat = torch.cat((args[3], args[2], args[1], args[0]), dim = 0) pad = torch.nn.functional.pad(cat, (0, ...
The strings for each stage are given as a comma–separated list in the ChemDASH input option “gulp_files”. GULP uses force fields to optimise structures, the file containing the forcefield for the calculation is found from the option “gulp_library”. If any elements in this forcefield ...
And it works properly in eager execution. This mismatch is seen only on cuda. Error logs Output of numpy.testing.assert_allclose(): === torch_complie triggers assertion Not equal to tolerance rtol=1, atol=0 at v4_0, v4_0 Mismatched elements: 187 / 187 (100%) Max absolute difference...
On-line CPU(s) list: 0-127 Vendor ID: AuthenticAMD Model name: AMD EPYC 7742 64-Core Processor CPU family: 23 Model: 49 Thread(s) per core: 2 Core(s) per socket: 64 Socket(s): 1 Stepping: 0 Frequency boost: enabled CPU max MHz: 2250.0000 ...
🐛 Describe the bug When the model has multiple outputs, changing the sequence of the outputs should not affect their values. However, by swapping output sequence, the output of torch.gt differs for the same input in compiled execution. A...