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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The array API specification stipulates four numeric constants:
e
inf
nan
pi
PyTorch currently supports none.
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Useful for converting greyscale image back to rgb so that the output can be rendered on canvas with toPixels.
tf api: https://www.tensorflow.org/api_docs/python/tf/image/grayscale_to_rgb
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(triggered by SO question: https://stackoverflow.com/questions/67944732/using-my-own-stopword-list-with-gensim-corpora-textcorpus-textcorpus/67951592#67951592)
Gensim has two remove_stopwords()
functions with similar, but slightly-different behavior that risks confusing users.
gensim.parsing.preprocessing.remove_stopwords
takes a space-delimited string, and always consults the current
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Bug Report
Is the issue related to model conversion? No
Describe the bug
DynamicQuantizeLinear function op does not have shape inference function defined. In absence of shape inference, function body is used to get the shape inference for the function op and although it works as a fallback option it hurts perf.
Expected behavior
Add shape inference function for DynamicQuan
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Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.