Neural Network
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
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According to
https://github.com/pytorch/pytorch/blob/64847c7f0b3559c6edc40f001619b80c7dc68ef7/c10/util/Exception.h#L479
all usages of AT_ERROR("msg") should be replace with TORCH_CHECK(false, "msg")
There are currently 29 instances of AT_ERROR being used in c10 codebase:
$ grep AT_ERROR c10 -R|grep -v Exception.h|wc -l
29
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Reference from TensorFlow: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/matrix-band-part
This op is used by the Music Transformer model.
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Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/
or some other data- or doc- related module – rather than in gensim.models.word2vec
.
Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)
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Add a new API for converting a model to external data. Today the conversion happens in 2 steps
external_data_helper.convert_model_to_external_data(<model>, <all_tensors_to_one_file>, <size_threshold>) save_model(model, output_path)
We want to add another api which combines the 2 steps
`
save_model_to_external_data(, <output_
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I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.
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Please make sure that this is a documentation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template
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