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Missing experimental_distribute_datasets_from_function
experimental_distribute_datasets_from_function
Called here: https://github.com/mead-ml/mead-baseline/blob/5d7632bb151c2d09501ebf49f36ba8c4204df4c8/mead/api_examples/pretrain_discrim_tf.py#L307
The callback function is dataset_test_fn, defined here: https://github.com/mead-ml/mead-baseline/blob/master/mead/api_examples/pretrain_discrim_tf.py#L301-L306
dataset_test_fn
But that function doesn't show up in the call graph. The method reference should be: < PythonLoader, Lscript pretrain_discrim_tf.py/get_dataset, do()LRoot; >. However, we don't see it in the call graph nodes: https://gist.github.com/khatchad/bd48384f3561fdcc7c8c6e9141d93de5
< PythonLoader, Lscript pretrain_discrim_tf.py/get_dataset, do()LRoot; >
Related to #92 and blocked on #89.
The text was updated successfully, but these errors were encountered:
We might be at the point where we can now fix this if we can treat distributed values as datasets.
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Missing
experimental_distribute_datasets_from_function
Called here: https://github.com/mead-ml/mead-baseline/blob/5d7632bb151c2d09501ebf49f36ba8c4204df4c8/mead/api_examples/pretrain_discrim_tf.py#L307
The callback function is
dataset_test_fn
, defined here: https://github.com/mead-ml/mead-baseline/blob/master/mead/api_examples/pretrain_discrim_tf.py#L301-L306But that function doesn't show up in the call graph. The method reference should be:
< PythonLoader, Lscript pretrain_discrim_tf.py/get_dataset, do()LRoot; >
. However, we don't see it in the call graph nodes: https://gist.github.com/khatchad/bd48384f3561fdcc7c8c6e9141d93de5Related to #92 and blocked on #89.
The text was updated successfully, but these errors were encountered: