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tensorflow/c/c_api_experimental.cc
auto iter = builder->attr_names.insert(attr_name).first; builder->Set(*iter, static_cast<tensorflow::DataType>(value)); } void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name, const TF_DataType* values, int num_values) { auto iter = builder->attr_names.insert(attr_name).first;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
Status GradientRegistry::Register( const string& op_name, GradientFunctionFactory gradient_function_factory) { auto iter = registry_.find(op_name); if (iter != registry_.end()) { const string error_msg = "Gradient already exists for op: " + op_name + "."; return errors::AlreadyExists(error_msg); } registry_.insert({op_name, gradient_function_factory}); return absl::OkStatus(); } Status GradientRegistry::Lookup(
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) -
tensorflow/c/eager/gradients_test.cc
/*use_function=*/!std::get<2>(GetParam())); 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]); }
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_function.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)