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No indexing with boolean mask, for example:
import torch; import thunder m = x <= 0.5 def f(x, m): return x[m] jf = thunder.jit(f) jf(x, m)
fails with
RuntimeError: Advanced indexing currently only supports zero or one-dimensional integer tensors, but found a tensor with dtype bool8 and 1 dimensions
cc @apaz-cli
The text was updated successfully, but these errors were encountered:
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🚀 Feature
No indexing with boolean mask, for example:
fails with
cc @apaz-cli
The text was updated successfully, but these errors were encountered: