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ci/official/bisect.sh
# build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh
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tensorflow/c/eager/c_api_test.cc
SetOpAttrValueScalar(ctx, op, i_list_values, "ksize", status); SetOpAttrValueScalar(ctx, op, i_list_values, "strides", status); tensorflow::AttrValue padding_value; *padding_value.mutable_s() = "VALID"; tensorflow::SetOpAttrValueScalar(ctx, op, padding_value, "padding", status); tensorflow::AttrValue data_format_value; *data_format_value.mutable_s() = "NHWC";
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SECURITY.md
We recognize issues as vulnerabilities only when they occur in scenarios that we outline as safe; issues that have a security impact only when TensorFlow is used in a discouraged way (e.g. running untrusted models or checkpoints, data parsing outside of the safe formats, etc.) are not treated as vulnerabilities.. ### Reporting process Please use [Google Bug Hunters reporting form](https://g.co/vulnz) to report
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tensorflow/c/eager/c_api_experimental.h
// and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is. TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset, const char* op_or_function_name, const char* raw_device_name,
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tensorflow/BUILD
# This target is only used for parsing the symbols to be exported in tensorflow.dll. # Do NOT depend on it. tf_native_cc_binary( name = "tf_custom_op_library_additional_deps.dll", linkshared = 1, linkstatic = 1, deps = tf_custom_op_library_additional_deps_impl(), ) # Get a DEF file generated by parsing all object files # of tf_custom_op_library_additional_deps.so
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tensorflow/c/c_api.cc
mutex_lock session_lock(session->mu); const Graph& graph = session->graph->graph; const string& mutation_warning = session->graph->sessions[session]; if (!mutation_warning.empty()) { // TODO(b/74949947): turn this back into an error status LOG(WARNING) << mutation_warning; session->graph->sessions[session].clear(); } const auto num_nodes = graph.num_node_ids();
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CONTRIBUTING.md
#### Running doctest for testable docstring There are two ways to test the code in the docstring locally: 1. If you are only changing the docstring of a class/function/method, then you can test it by passing that file's path to [tf_doctest.py](https://www.tensorflow.org/code/tensorflow/tools/docs/tf_doctest.py). For example: ```bash python tf_doctest.py --file=<file_path> ```
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ci/official/README.md
# re-running tests. However, note that: # # - New environments like new CUDA versions, changes to manylinux, # compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with # the cache; this is unavoidable. export TFCI=py311,linux_x86,public_cache,disk_cache # Recommended: Configure Docker. (Linux only)
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RELEASE.md
* Fixes vulnerabilities arising from incomplete validation in MKL requantization ([CVE-2021-37665](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37665)) * Fixes an undefined behavior arising from reference binding to nullptr in `RaggedTensorToVariant` ([CVE-2021-37666](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37666)) * Fixes an undefined behavior arising from reference binding to nullptr in
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
}, nullptr), TF_DeleteTensor); // TODO(allenl): Here and when executing regular operations, we could hold // on to one TFE_Op per device and just call TFE_ResetOp to avoid parsing // device names repeatedly. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> const_op( TFE_NewOp(context, "Const", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr;
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