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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Followup to pytorch/pytorch#74955 (comment).
It turns out that that cmake version was just bad and we can now unpin cmake once again.
cc @seemethere @malfet @pytorch/pytorch-dev-infra
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fitDataset() expects a Dataset that produces elements of a certain shape, with matching batch sizes etc., and throws errors (from standardizeDataIteratorOutput()) when the conditions are not met. These errors should be tested.
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In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 supervi
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Apr 28, 2022
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May 7, 2022 - TypeScript
Feature Request
System information
ONNX version (you are using): The latest main branch.
What is the problem that this feature solves?
To enhance robustness of node test data, ONNX CIs should have some ways to validate updated/uploaded input.pb/output.pb and ONNX models. Currently at least ONNX models have been covered by this PR: onnx/onnx#3855. However,
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Describe the issue:
During computing Channel Dependencies reshape_break_channel_dependency
does following code to ensure that the number of input channels equals the number of output channels:
in_shape = op_node.auxiliary['in_shape']
out_shape = op_node.auxiliary['out_shape']
in_channel = in_shape[1]
out_channel = out_shape[1]
return in_channel != out_channel
This is correct
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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
.