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Results 1 - 10 of 10 for nulla (3.26 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
// Grad for Softmax Input TF_RETURN_IF_ERROR(BroadcastMul( ctx, grad_outputs[0], forward_outputs_[1], grad_inputs.subspan(0, 1))); // upstream_grad * local softmax grad // Grad for labels is null grad_inputs[1] = nullptr; return absl::OkStatus(); } ~SparseSoftmaxCrossEntropyWithLogitsGradientFunction() override {} private: vector<AbstractTensorHandle*> forward_outputs_; };
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api.cc
TF_Status* status) { \ if (list == nullptr) { \ status->status = InvalidArgument("list is null!"); \ return err_val; \ } \
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
return ret; } // On success, returns a set of TF_Function instances from `text_proto` of // GraphDef type. These functions must be deleted by calling TF_DeleteFunction. // // If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto, // before creating a TF_Function out of the possibly mutated proto. static std::vector<UniqueFuncPtr> CreateFunctionsFromTextProto( const char* text_proto,
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
gtl::ArraySlice<AbstractTensorHandle*> output_gradients, absl::Span<AbstractTensorHandle*> result) const { 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."); }
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/experimental/next_pluggable_device/c_api.cc
auto* cc_ctx = reinterpret_cast<tensorflow::OpKernelContext*>(ctx); absl::Status cc_status; if (var_info == nullptr) { cc_status = absl::InvalidArgumentError("TF_VariableInfo is NULL."); status->status = cc_status; return; } if (var_info->var_info.var() == nullptr) { cc_status = absl::InvalidArgumentError( "VariableInfo does not track a resource variable.");
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/eager/gradients_test.cc
{x.get()}, absl::MakeSpan(outputs), /*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());
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
const TF_Function* grad, TF_Status* status) { if (func == nullptr) { status->status = InvalidArgument( "'func' argument to TF_GraphCopyFunction cannot be null"); return; } tensorflow::mutex_lock l(g->mu); status->status = g->graph.AddFunctionDef(func->record->fdef(), func->record->stack_traces());
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) -
tensorflow/c/eager/unified_api_testutil.cc
core::RefCountPtr<AbstractFunction> scoped_func; // Returning null tensors from a tf.function is not supported, so we keep // track of indices in the model's outputs are nullptr in this set. // The FunctionDef only outputs the non-null tensors. We later pad the // function op outputs to have nullptrs at the `null_indices`. absl::flat_hash_set<int> null_indices; { AbstractContextPtr func_ctx(BuildFunction(fn_name));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
status->status = tensorflow::errors::InvalidArgument("Unparseable AttrValue proto"); return; } if (op == nullptr) { status->status = tensorflow::errors::InvalidArgument( "Got a null or uninitialized `op` argument"); return; } tensorflow::EagerOperation* operation = OperationFromInterface(tensorflow::unwrap(const_cast<TFE_Op*>(op)));
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/c_api_test.cc
TF_SessionOptions* opt = TF_NewSessionOptions(); TF_Status* s = TF_NewStatus(); const char* tags[] = {tensorflow::kSavedModelTagServe}; TF_Graph* graph = TF_NewGraph(); // NULL run_options and meta_graph_def should work. TF_Session* session = TF_LoadSessionFromSavedModel( opt, nullptr, saved_model_dir.c_str(), tags, 1, graph, nullptr, s); EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
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)