Tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
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Feature request
Dear huggingface community,
I am experimenting with the ViTMAE model from the transformers library. The ViTMAEConfig class has the option "num_channels" to specify the number of input (color) channels belonging to an image. If I modify this, say, to 1 (for processing grayscale images), the model throws an error, due to the number "3" being hard-coded into the functions "patch
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Describe the bug
Streaming Datasets can't be pickled, so any interaction between them and multiprocessing results in a crash.
Steps to reproduce the bug
import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets
ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True).with_format("Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.
It can be clearly seen in chapter 6([CNN Lenet](ht
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Question
The code has multiple reference to web addresses using "http://" instead of the more secure "https://". Is it not better to switch it to https uniformly?
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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
Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
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Created by Google Brain Team
Released November 9, 2015
- Organization
- tensorflow
- Website
- www.tensorflow.org
- Wikipedia
- Wikipedia
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.