Comments (1)
It may be caused by the fact that your PyTorch version is low so that tril
does not have batch mode, c.f., this issue.
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Related Issues (20)
- Loss with multiple permutations HOT 1
- has_node_feat option in config does not seem to affect the model HOT 7
- why GRAN model can be trained so fast while tested really slowly? HOT 1
- Tested on Twitter user interaction network?
- MMD computation - square root missing HOT 1
- Training on IMDB-MULTI dataset
- Issue while Training on CPU
- Training on CPU? HOT 1
- Can GRAN let us to generate graphs with costume attributes? HOT 1
- ZeroDivisionError: division by zero
- TypeError: load() missing 1 required positional argument: 'Loader' HOT 3
- -c/--config_file arguments problem
- RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` HOT 6
- Using more than one GPUs?
- How are the nodes being produced? HOT 3
- RuntimeError: result type Float can't be cast to the desired output type Long HOT 2
- Possibility of sending the incomplete adjacency matrix of a graph in test HOT 1
- Division By Zero HOT 3
- Attributes HOT 1
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from gran.