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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// // Every filesystem provides support for accessing URIs of form // `[<scheme>://]<path>` where `<scheme>` is optional (if missing, we are // accessing local paths). This test suite tests exactly one scheme for each // invocation. By default, we are testing all schemes available but this can be // restricted by using `--schemes` to specify a set of schemes to test. // // Example invocation:
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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tensorflow/c/experimental/gradients/nn_grad_test.cc
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ISSUES.md
If you open a GitHub Issue, here is our policy: 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/eager/c_api_unified_experimental_test.cc
TF_DeleteExecutionContext(graph_ctx); } // The above tests are run for a combination of: // - graphdef and MLIR tracing engine INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI, ::testing::Combine(::testing::Values("graphdef", "mlir"),
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tensorflow/c/c_api_test.cc
TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t)); for (int i = 0; i < batch_size; ++i) { TF_TString_Init(&data[i]); // The following input string length is large enough to make sure that // copy to tstring in large mode. std::string source = "This is the " + std::to_string(i + 1) + "th. data element\n"; TF_TString_Copy(&data[i], source.c_str(), source.length()); }
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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tensorflow/api_template.__init__.py
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2 _tf2.enable() # API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works.
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tensorflow/c/c_api.cc
const char* attr_name, const void* proto, size_t proto_len, TF_Status* status) { // shape.ParseFromArray takes an int as length, this function takes size_t, // make sure there is no information loss. if (proto_len > std::numeric_limits<int>::max()) { status->status = InvalidArgument( "proto_len (", proto_len,
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