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.github/ISSUE_TEMPLATE/tflite-other.md
installed from options: - source - binary validations: required: true - type: input id: tfversion attributes: label: Tensorflow Version description: placeholder: ex,. tf 2.8 validations: required: true - type: dropdown id: Code attributes: label: Custom Code description: options: - "Yes" - "No" validations: required: true - type: input id: OS attributes: label: OS Platform and Distribution
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ci/official/wheel_test/README.md
These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see
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CONTRIBUTING.md
* Keep API compatibility in mind when you change code in core TensorFlow, e.g., code in [tensorflow/core](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core) and [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python). TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of
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tensorflow/api_template.__init__.py
# Load tensorflow-io-gcs-filesystem if enabled if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"): import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem # Lazy-load Keras v2/3. _tf_uses_legacy_keras = ( _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1")) setattr(_current_module, "keras", _KerasLazyLoader(globals()))
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
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ci/official/utilities/extract_resultstore_links.py
testsuites.attrib = suite_attrib testsuite.attrib = suite_attrib indent_xml(testsuites) tree = ElemTree.ElementTree(testsuites) file_path = os.path.join(output_path) with open(file_path, 'wb') as f: f.write(b'<?xml version="1.0"?>\n') tree.write(f) if verbose: print(f'\nWrote XML with Bazel invocation results to {file_path}')
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requirements_lock_3_10.txt
dill==0.3.7 \ --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 # via -r requirements.in dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// Deletes the directory specified by `path` and all its contents. /// /// This is accomplished by traversing directory tree rooted at `path` and /// deleting entries as they are encountered, from leaves to root. Each plugin /// is free to choose a different approach which obtains similar results. /// /// On successful deletion, `status` must be `TF_OK` and `*undeleted_files`
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tensorflow/c/c_api_test.cc
TF_Input three_port; EXPECT_EQ(1, TF_OperationOutputConsumers(TF_Output{three, 0}, &three_port, 1)); EXPECT_EQ(add, three_port.oper); EXPECT_EQ(1, three_port.index); // Serialize to GraphDef. GraphDef graph_def; ASSERT_TRUE(GetGraphDef(graph, &graph_def)); // Validate GraphDef is what we expect. bool found_placeholder = false;
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ci/official/utilities/code_check_changed_files.bats
grep -e '\.h$' -e '\.cc$' $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi xargs -a $BATS_TEST_TMPDIR/files -i -n1 -P $(nproc --all) \ bash -c 'clang-format-12 --style=Google {} | git diff --no-index {} -' \ | tee $BATS_TEST_TMPDIR/needs_help.txt echo "You can use clang-format --style=Google -i <file> to apply changes to a file."
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