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.github/ISSUE_TEMPLATE/tflite-other.md
- type: dropdown id: source attributes: label: Source description: Tensorflow 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
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CONTRIBUTING.md
quality requirements. For example, we check if the CLA is signed, PR has sufficient description, if applicable unit tests are added, if it is a reasonable contribution (meaning it is not a single liner cosmetic PR). **2. Valid?** - If the PR passes all the quality checks then we go ahead and assign a reviewer. - If the PR didn't meet the validation criteria, we request for additional
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RELEASE.md
* Added `TensorSpec` support for CompositeTensors. * Added `tf.linalg.tridiagonal_solve` op. * Added partial_pivoting input parameter to `tf.linalg.tridiagonal_solve`. * Added gradient to `tf.linalg.tridiagonal_solve`. * Added `tf.linalg.tridiagonal_mul op`. * Added GPU implementation of `tf.linalg.tridiagonal_matmul`. * Added `LinearOperatorToeplitz`.
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LICENSE
committed. LICENSE Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice,
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tensorflow/BUILD
"tf_monitoring_python_deps", "tf_native_cc_binary", "tsl_async_value_deps", ) load( "//tensorflow:tensorflow.default.bzl", "ADDITIONAL_API_INDEXABLE_SETTINGS", "tf_cc_shared_library", ) load( "@local_xla//xla/tsl/mkl:build_defs.bzl", "if_mkl_ml", ) load( "//tensorflow/core/platform:build_config.bzl", "tf_additional_binary_deps", ) load(
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ci/official/envs/versions_upload
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
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.bazelrc
# Debug config build:dbg -c dbg # Only include debug info for files under tensorflow/, excluding kernels, to # reduce the size of the debug info in the binary. This is because if the debug # sections in the ELF binary are too large, errors can occur. See # https://github.com/tensorflow/tensorflow/issues/48919. # Users can still include debug info for a specific kernel, e.g. with:
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README.md
**Libtensorflow Windows GPU** | Status Temporarily Unavailable | [Nightly Binary](https://storage.googleapis.com...
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tensorflow/build_cleaner_spec.textproto
# proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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.github/ISSUE_TEMPLATE/tflite-op-request.md
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 ``` **Standalone code to reproduce the issue**
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