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Results 1 - 9 of 9 for minuut (0.31 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
return errors::Unimplemented( "BroadcastMul is not supported in tracing mode yet."); } auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx); AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1)); ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims"));
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
void TF_AddInput(TF_OperationDescription* desc, TF_Output input) { desc->node_builder.Input(&input.oper->node, input.index); } void TF_AddInputList(TF_OperationDescription* desc, const TF_Output* inputs, int num_inputs) { std::vector<NodeBuilder::NodeOut> input_list; input_list.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) { input_list.emplace_back(&inputs[i].oper->node, inputs[i].index);
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/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/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/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_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/eager/c_api_test_util.cc
TF_DeleteStatus(status); return th; } TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "Min", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, input, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, axis, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/c_api.cc
const char* TFE_OpGetDevice(const TFE_Op* op, TF_Status* status) { return tensorflow::unwrap(op)->DeviceName().c_str(); } void TFE_OpAddInput(TFE_Op* op, TFE_TensorHandle* input, TF_Status* status) { status->status = tensorflow::unwrap(op)->AddInput(tensorflow::unwrap(input)); } void TFE_OpAddInputList(TFE_Op* op, TFE_TensorHandle** inputs, int num_inputs, TF_Status* status) {
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
input.flat<tstring>()(i) = example.SerializeAsString(); } const tensorflow::string input_op_name( tensorflow::ParseTensorName(input_name).first); TF_Operation* input_op = TF_GraphOperationByName(graph, input_op_name.c_str()); ASSERT_TRUE(input_op != nullptr); Status status; csession.SetInputs({{input_op, TF_TensorFromTensor(input, &status)}});
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)