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CONTRIBUTING.md
pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After the change has been submitted internally, your pull request will be merged automatically on GitHub. If you want to contribute, start working through the TensorFlow codebase, navigate to the
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requirements_lock_3_10.txt
# via -r requirements.in certifi==2024.2.2 \ --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \ --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1 # via requests charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \
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ci/official/requirements_updater/requirements.in
# For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0 packaging==23.2 setuptools==68.2.2
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requirements_lock_3_11.txt
# via -r requirements.in certifi==2024.2.2 \ --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \ --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1 # via requests charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \
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SECURITY.md
general, be batched to be fixed at the same time as a quarterly release. We credit reporters for identifying security issues, although we keep your name confidential if you request it. Please see Google Bug Hunters program website
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RELEASE.md
now served with tensorflow/serving, it will accept requests using 'inputs' and 'outputs'. Starting at 1.2, such a model will accept the keys specified during export. Therefore, inference requests using 'inputs' and 'outputs' may start to fail. To fix this, either update any inference clients to send requests with the actual input and output keys used by the trainer code, or
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LICENSE
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. CONTRIBUTION AGREEMENT By contributing to the BVLC/caffe repository through pull-request, comment, or otherwise, the contributor releases their content to the
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ci/devinfra/docker_windows/Dockerfile
kiwisolver macholib matplotlib nose numpy packaging pandas pickleshare pip \ prompt-toolkit protobuf psutil pyasn1 pyasn1-modules pycparser Pygments \ pyparsing pyreadline python-dateutil pytz pywin32 requests rsa setuptools \ simplegeneric six Tempita traitlets uritemplate urllib3 virtualenv wcwidth \ wheel win-unicode-console; # Hardcoding Android license since I did not find any solution on accepting it
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.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
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