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Results 1 - 10 of 17 for TF_RETURN_IF_ERROR (0.21 sec)
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tensorflow/c/eager/gradient_checker.cc
bool use_function) { AbstractTensorHandle* model_outputs[1]; // Run the model. TF_RETURN_IF_ERROR( RunModel(forward, ctx, inputs, model_outputs, use_function)); AbstractTensorHandlePtr model_out(model_outputs[0]); TF_Tensor* model_out_tensor; TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor)); int num_dims_out = TF_NumDims(model_out_tensor);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
// Get transpose attrs bool t_a; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_a", &t_a)); bool t_b; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_b", &t_b)); // Conj each input AbstractTensorHandle* conj_output; std::string name = "Conj_A_MatMul_Grad"; TF_RETURN_IF_ERROR( SafeConj(ctx, forward_inputs_[0], &conj_output, name.c_str()));
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
TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr)); for (auto input : inputs) { TF_RETURN_IF_ERROR(fn_op->AddInput(input)); } int retvals = outputs.size() - null_indices.size(); std::vector<AbstractTensorHandle*> fn_outputs(retvals); TF_RETURN_IF_ERROR(fn_op->Execute( absl::Span<AbstractTensorHandle*>(fn_outputs.data(), fn_outputs.size()), &retvals)); int skipped_indices = 0;
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/experimental/gradients/nn_grad.cc
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")); TF_RETURN_IF_ERROR( ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul")); expand_dims_outputs->Unref(); 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) -
tensorflow/c/eager/gradients.cc
AbstractOperationPtr op(ctx->CreateOperation()); TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr)); if (isa<tracing::TracingOperation>(op.get())) { TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName( absl::StrCat("ZerosLike", ToId(t)).c_str())); } TF_RETURN_IF_ERROR(op->AddInput(t)); int num_outputs = 1;
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_unified_experimental_graph.cc
TracingOperationPtr operation(CreateOperation()); TF_RETURN_IF_ERROR(operation->Reset("Placeholder", nullptr)); TF_RETURN_IF_ERROR( operation->SetOpName(absl::StrCat("_input_", inputs_.size()).c_str())); TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape(
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/tracing_utils.cc
namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); } if (isa<gradients::TapeOperation>(op)) { TF_RETURN_IF_ERROR(MaybeSetOpName( dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(), op_name)); } return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(wrap(ctx), status.get()); TF_RETURN_IF_ERROR(StatusFromTF_Status(status.get())); TFE_TensorHandle* input_eager = TestTensorHandleWithDims<T, datatype>(eager_ctx, data, dims, num_dims); *tensor =
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets*/ {exp_output},
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
} std::vector<AbstractTensorHandle*> temp_outputs(1); AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry)); TF_RETURN_IF_ERROR( forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs))); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets=*/temp_outputs, /*sources=*/inputs,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0)