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SECURITY.md
implement, and therefore security issues deriving from their absence are not considered a vulnerability in TensorFlow. ### Resource allocation A denial of service caused by one model could bring down the entire server, but we don't consider this as a vulnerability, given that models can exhaust resources in many different ways and solutions exist to prevent this from
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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def, int keep_alive_secs) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
if (gradient_function == nullptr) { return errors::InvalidArgument( "Provided null gradient_function for '", op_type, "'.\n", "If the intent is to treat this op as non-differentiable consider " "using RegisterNotDifferentiable or " "NotDifferentiableGradientFunction."); } return gradient_function->Compute(ctx_, output_gradients, result); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
ci/official/envs/rbe
# limitations under the License. # ============================================================================== # Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^
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tensorflow/c/eager/gradients_test.cc
ASSERT_EQ(error::INVALID_ARGUMENT, s.code()); ASSERT_EQ( "Provided null gradient_function for 'Neg'.\nIf the intent is to treat " "this op as non-differentiable consider using RegisterNotDifferentiable " "or NotDifferentiableGradientFunction.", s.message()); ASSERT_EQ(nullptr, outputs[0]); } // TODO(b/164171226): Enable this test with tfrt after AddInputList is
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
EXPECT_EQ(attr_value.i(), 2); // Placeholder oper now has a consumer. ASSERT_EQ(1, TF_OperationOutputNumConsumers(TF_Output{feed, 0})); TF_Input feed_port; EXPECT_EQ(1, TF_OperationOutputConsumers(TF_Output{feed, 0}, &feed_port, 1)); EXPECT_EQ(add, feed_port.oper); EXPECT_EQ(0, feed_port.index); // The scalar const oper also has a consumer. ASSERT_EQ(1, TF_OperationOutputNumConsumers(TF_Output{three, 0}));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api.cc
if (!status->status.ok()) return; // TODO(nareshmodi): TFE_OpSetAttrFunction and TFE_OpSetAttrFunctionList // require TFE_Op* and just convert it internally a NameAttrValue, so // consider adding an overload to the C API to make this case easier. TFE_OpSetAttrFunction(op, attr_name, func_op); TFE_DeleteOp(func_op); } break; case tensorflow::AttrValue::kList: { // String
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/tape.h
template <typename BackwardFunction, typename TapeTensor> struct OpTapeEntry { string op_type; std::vector<TapeTensor> output_tensor_info; std::vector<int64_t> input_tensor_id; // TODO(apassos) consider narrowing down this interface. BackwardFunction* backward_function; // Should be called before deleting the backward function. TODO(apassos) use // unique_ptrs to ensure this happens.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
RELEASE.md
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
read = 0; } else if (!absl::SimpleAtoi(content_length->second, &read)) { TF_SetStatus(status, TF_UNKNOWN, "Could not get content-length header"); return -1; } // `TF_OUT_OF_RANGE` isn't considered as an error. So we clear it here. TF_SetStatus(status, TF_OK, ""); TF_VLog(1, "Successful read of %s @ %u of size: %u", path.c_str(), offset, read); stream.read(buffer, read); read = stream.gcount();
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