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CODE_OF_CONDUCT.md
contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Feb 05 18:43:16 GMT 2021 - 5.2K bytes - Viewed (0) -
SECURITY.md
Network isolation between different models is also important not only to prevent unauthorized access to data or models, but also to prevent malicious users or tenants sending graphs to execute under another tenant’s identity. The isolation mechanisms are the responsibility of the users to design and implement, and therefore security issues deriving from their absence are not considered a vulnerability in TensorFlow.
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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first.
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tensorflow/c/eager/c_api_test_util.h
TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b); // Return a matmul op multiplying `a` by `b`. TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b); // Return an identity op. TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a); // Return a shape op fetching the shape of `a`. TFE_Op* ShapeOp(TFE_Context* ctx, TFE_TensorHandle* a);
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tensorflow/c/experimental/gradients/array_grad_test.cc
absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref();
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
r._elem.remove(testsuite._elem) if len(r) > 0: # pylint: disable=g-explicit-length-test result += r # Insert the number of failures for each test to help identify flakes # need to clarify for shard for p in result._elem.xpath(".//error | .//failure"): key = re.sub(r"0x\w+", "", p.getparent().get("name", "")) + p.text p.text = runfiles_matcher.sub("[testroot]/", p.text)
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tensorflow/c/eager/gradients_test.cc
"or NotDifferentiableGradientFunction.", s.message()); ASSERT_EQ(nullptr, outputs[0]); } // TODO(b/164171226): Enable this test with tfrt after AddInputList is // supported. It is needed for IdentityN. #ifdef PLATFORM_GOOGLE INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false),
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