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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test:nonpip --config=nonpip_filters -- //tensorflow/... -//tensorflow/python/integration_testing/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... # "pip tests" run a similar suite of tests the "nonpip" tests, but do something # odd to attempt to validate the quality of the pip package. The wheel is
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.gitignore
/tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace /*.podspec /tensorflow/lite/**/coreml/**/BUILD /tensorflow/lite/**/ios/BUILD /tensorflow/lite/**/objc/BUILD
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.github/ISSUE_TEMPLATE/tflite-other.md
name: TensorFlow Lite Other Issue description: Use this template to report any issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
--- name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version
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tensorflow/c/BUILD
"//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":tf_tensor", "//tensorflow/c/experimental/stream_executor", "//tensorflow/c/experimental/stream_executor:stream_executor_internal", "//tensorflow/core:framework", "//tensorflow/core:framework_lite", "//tensorflow/core:protos_all_cc",
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WORKSPACE
NUMPY_ANNOTATIONS = { "numpy": package_annotation( additive_build_content = """\ filegroup( name = "includes", srcs = glob(["site-packages/numpy/core/include/**/*.h"]), ) cc_library( name = "numpy_headers", hdrs = [":includes"], strip_include_prefix="site-packages/numpy/core/include/", ) """, ), } pip_parse( name = "pypi", annotations = NUMPY_ANNOTATIONS,
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test:nonpip --config=nonpip_filters -- //tensorflow/... -//tensorflow/python/integration_testing/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... # "pip tests" run a similar suite of tests the "nonpip" tests, but do something # odd to attempt to validate the quality of the pip package. The wheel is
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tensorflow/BUILD
"//tensorflow/lite/toco:model_flags_proto_cc", "//tensorflow/lite/toco:toco_convert", "//tensorflow/lite/toco:toco_flags_proto_cc", "//tensorflow/lite/toco:toco_graphviz_dump_options", "//tensorflow/lite/toco:toco_port", "//tensorflow/lite/toco:toco_tooling", "//tensorflow/lite/toco:tooling_util",
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RELEASE.md
construct the layer with LSTM(recurrent_activation='hard_sigmoid') to fallback to 1.x behavior. * TensorFlow Lite * Move from `tensorflow/contrib/lite` to `tensorflow/lite`. * Add experimental Java API for injecting TensorFlow Lite delegates * Add support for strings in TensorFlow Lite Java API. * `tf.contrib`: * Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.
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