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CONTRIBUTING.md
* When you contribute a new feature to TensorFlow, the maintenance burden is (by default) transferred to the TensorFlow team. This means that the benefit of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/python:compare_test_proto_py //tensorflow/python/framework:test_ops_2 //tensorflow/python/framework:test_file_system.so //tensorflow/python/debug:grpc_tensorflow_server.par //tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py
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tensorflow/c/c_api.cc
status->status = tensorflow::errors::Unimplemented( "Creating while loops is not supported on mobile. File a bug at " "https://github.com/tensorflow/tensorflow/issues if this feature is " "important to you"); return EmptyWhileParams(); #else if (ninputs == 0) { status->status = InvalidArgument("TF_NewWhile() must be passed at least one input");
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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Get a comma-separated list of op names executed in graph functions dispatched // to `ctx`. This feature is currently only enabled for TFRT debug builds, for // performance and simplicity reasons. TF_CAPI_EXPORT extern void TFE_GetExecutedOpNames(TFE_Context* ctx, TF_Buffer* buf,
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ISSUES.md
1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.
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tensorflow/c/c_api_test.cc
Tensor input(tensorflow::DT_STRING, TensorShape({4})); for (int64_t i = 0; i < input.NumElements(); ++i) { tensorflow::Example example; auto* feature_map = example.mutable_features()->mutable_feature(); (*feature_map)["x"].mutable_float_list()->add_value(i); input.flat<tstring>()(i) = example.SerializeAsString(); } const tensorflow::string input_op_name(
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
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: markdown attributes: value: |
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.bazelrc
build:windows --host_copt=/D_USE_MATH_DEFINES # Windows has a relatively short command line limit, which TF has begun to hit. # See https://docs.bazel.build/versions/main/windows.html build:windows --features=compiler_param_file build:windows --features=archive_param_file # Speed Windows compile times. Available in VS 16.4 (we are on 16.11). See # https://groups.google.com/a/tensorflow.org/d/topic/build/SsW98Eo7l3o/discussion
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configure.py
query_item: string for feature related to the variable, e.g. "CUDA for Nvidia GPUs". enabled_by_default: boolean for default behavior. question: optional string for how to ask for user input. yes_reply: optional string for reply when feature is enabled. no_reply: optional string for reply when feature is disabled. Returns: boolean value of the variable.
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