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Results 11 - 20 of 42 for erroa (0.14 sec)
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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/immediate_execution_tensor_handle.cc
shape_string = shape.DebugString(); } else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; } if (value_string.length() > 100) { // The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
OwnedTFStatus c_status(TF_NewStatus()); init_fn(¶ms, c_status.get()); TF_RETURN_IF_ERROR(tsl::StatusFromTF_Status(c_status.get())); TF_RETURN_IF_ERROR(ValidateTPOptimizerRegistrationParams(params)); TF_RETURN_IF_ERROR(ValidateTPOptimizer(optimizer)); TF_RETURN_IF_ERROR(ValidateTPOptimizerConfigs(optimizer_configs)); CGraphOptimizerRegister(
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/array_grad_test.cc
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it.
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
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); TF_DeleteTensor(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/eager/c_api_distributed_test.cc
} class FunctionErrorInjectionPass : public tensorflow::FunctionOptimizationPass { public: FunctionErrorInjectionPass(string error_node, string error_device) : error_node_(error_node), error_device_(error_device) {} tensorflow::Status Run(const std::string& function_name, const tensorflow::DeviceSet& device_set, const tensorflow::ConfigProto& config_proto,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
#include "tensorflow/core/tfrt/common/pjrt_util.h" #include "tsl/lib/core/status_test_util.h" #include "tsl/platform/casts.h" #include "tsl/platform/status_matchers.h" #include "tsl/protobuf/error_codes.pb.h" namespace tensorflow { namespace { using ::testing::HasSubstr; using ::testing::NotNull; using ::tsl::testing::StatusIs; PJRT_Buffer* CreateCBuffer() {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
Status s = StatusFromTF_Status(status.get()); CHECK_EQ(errors::OK, s.code()) << s.message(); } }; Status RegisterGradients(GradientRegistry* registry) { TF_RETURN_IF_ERROR(RegisterNotDifferentiable(registry, "CheckNumerics")); return absl::OkStatus(); } TEST_P(CppGradients, TestSetAttrString) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
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
Node* node = inputs[i].oper ? &inputs[i].oper->node : nullptr; int idx = inputs[i].index; TF_RETURN_WITH_CONTEXT_IF_ERROR( fn_body->graph.IsValidOutputTensor(node, idx), "Encountered while processing input ", i, " into function '", fn_name, "'"); TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx), "Encountered while processing input ", i,
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)