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tensorflow/c/experimental/gradients/math_grad.cc
namespace gradients { namespace { static Status SafeConj(AbstractContext* ctx, AbstractTensorHandle* const input, AbstractTensorHandle** output, const char* name) { auto dtype = input->DataType(); if (DataTypeIsFloating(BaseType(dtype)) || DataTypeIsInteger(BaseType(dtype))) { return tensorflow::ops::Identity(ctx, input, output, name); } else if (!DataTypeIsComplex(BaseType(dtype)) &&
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K 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/gradients.cc
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]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size());
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/grappler/grappler.h
// identify output values when possible and does other aggressive strategies. // This may cause incorrectness in graph analyses, but is useful for simulation // or scheduling. // If include_input_tensor_values is true, the values of constant // tensors will included in the input properties. // If include_output_tensor_values is true, the values of constant tensors will // be included in the output properties. TF_CAPI_EXPORT extern void TF_InferStatically(
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
std::vector<AbstractTensorHandle*>* params) { tracing::TracingTensorHandle* handle = nullptr; for (auto input : inputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); }
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.h
int num_values); // Returns the length (number of tensors) of the input argument `input_name` // found in the provided `op`. TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op, const char* input_name, TF_Status* status);
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/immediate_execution_operation.h
// 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; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means
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_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/eager/c_api_unified_experimental_graph.cc
device_name_ = name; return absl::OkStatus(); } 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(); }
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_function_test.cc
} // Specification for an expected edge. // src is either: // - input name (as it appears in FunctionDef) // - name of output tensor (in nested "add:z:0" format) // dst is either: // - output name (as it appears in FunctionDef) // - <name_of_node>:<index_of_this_input_into_node> (this looks the same as // output tensor naming, but it the index is actually an input index) struct EdgeSpec : public std::pair<string, string> {
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)