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CONTRIBUTING.md
``` TensorFlow kernels and TensorFlow's dependencies are still not built with debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the
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RELEASE.md
on Ampere based GPUs.TensorFloat-32, or TF32 for short, is a math mode for NVIDIA Ampere based GPUs which causes certain float32 ops, such as matrix multiplications and convolutions, to run much faster on Ampere GPUs but with reduced precision. This reduced precision has not been found to effect convergence quality of deep learning models in practice.
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ci/devinfra/docker_windows/Dockerfile
FROM mcr.microsoft.com/dotnet/framework/sdk:4.8-windowsservercore-ltsc2019 # Set default powershell policy for this script (ProgressPreference='SilentlyContinue' makes # downloads with Invoke-WebRequest not show the progress bar and is MUCH faster). SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue'; $VerbosePreference = 'Continue';"]
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