- Sort Score
- Result 10 results
- Languages All
Results 11 - 20 of 62 for input (0.32 sec)
-
tensorflow/c/eager/gradients.cc
void Tape::RecordOperation(absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> outputs, GradientFunction* gradient_function, const string& op_name) { std::vector<int64_t> input_ids(inputs.size()); std::vector<tensorflow::DataType> input_dtypes(inputs.size()); for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]);
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/c_api.h
// // Does not use the operation's definition to determine how many inputs should // be attached. It is intended for use with TFE_OpGetFlatInput to inspect an // already-finalized operation. // // Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat // sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a // particular named input list, which may only be part of the op's inputs).
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
std::vector<AbstractTensorHandle*> func_inputs; func_inputs.reserve(inputs.size()); TF_RETURN_IF_ERROR( CreateParamsForInputs(func_ctx.get(), inputs, &func_inputs)); std::vector<AbstractTensorHandle*> model_outputs; model_outputs.resize(outputs.size()); TF_RETURN_IF_ERROR(model(func_ctx.get(), absl::MakeSpan(func_inputs), absl::MakeSpan(model_outputs)));
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_experimental_test.cc
TF_Operation* id = TF_FinishOperation(id_descr, status); ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status); TF_Output input{arg, 0}; TF_Output output{id, 0}; TF_Function* fn = TF_GraphToFunction(function_graph, "ident", 0, 1, &id, 1, &input, 1, &output, nullptr, nullptr, "test", status); ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_operation.h
class ImmediateExecutionOperation : public AbstractOperation { public: virtual void Clear() = 0; // Returns the inputs of this op. virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs() const = 0; virtual Status SetInput(size_t index, ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
// Create loop: while (input1 < input2) input1 += input2 + 1 TF_Operation* less_than = LessThan( params->cond_inputs[0], params->cond_inputs[1], params->cond_graph, s_); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); params->cond_output = {less_than, 0}; TF_Operation* add1 = Add(params->body_inputs[0], params->body_inputs[1],
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
} Status AddInput(AbstractTensorHandle* input) override { GraphTensor* t = dyn_cast<GraphTensor>(input); if (!t) { return tensorflow::errors::InvalidArgument( "Unable to cast input to GraphTensor"); } TF_AddInput(op_.get(), t->output_); return absl::OkStatus(); } Status AddInputList(absl::Span<AbstractTensorHandle* const> inputs) override {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
// below. Allocate enough space so that no reallocation happens, which will // make the pointers invalid. all_input_tensors.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) { if (input_tensors[i] == nullptr) continue; all_input_tensors.emplace_back(); Tensor& input_tensor = all_input_tensors.back(); status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);
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/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle*> grad_inputs) override { // 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(); }
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) -
SECURITY.md
Therefore, if you run a `tf.train.Server` in your network, anybody with access to the network can execute arbitrary code with the privileges of the user running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0)