return new StyledTextOutputEvent.Span(messageStyle, "> " + message);
    }

    private StyledTextOutputEvent.Span status(String status, boolean failed) {
        StyledTextOutput.Style statusStyle = failed ? StyledTextOutput.Style.Failure : StyledTextOutput.Style.Info;
        return new StyledTextOutputEvent.Span(statusStyle, " " + status);
    }

          {{"outside_compilation_O1_host_compute"},
           "XlaHostCompute",
           {"C:o:0", "c:o:0"},
           {{"Tinputs", absl::Span<const DataType>({DT_FLOAT, DT_FLOAT})},
            {"Toutputs", absl::Span<const DataType>({DT_FLOAT})},
            {"ancestors", absl::Span<const string>({})},
            {"key", "host_compute_channel_F1_F1_O1"},
            {"send_key", ""},
            {"recv_key", ""},

		return ctx
	}
	return context.WithValue(ctx, traceKey{}, traceContext{tc.t, tc.t.getNextTID()})
}

// Flow marks a flow indicating that the 'to' span depends on the 'from' span.
// Flow should be called while the 'to' span is in progress.
func Flow(ctx context.Context, from *Span, to *Span) {
	tc, ok := getTraceContext(ctx)
	if !ok || from == nil || to == nil {
		return
	}

	id := tc.t.getNextFlowID()

    for (auto output : forward_outputs_) {
      if (output) {
        output->Ref();
      }
    }
  }

  Status Compute(AbstractContext* ctx,
                 absl::Span<AbstractTensorHandle* const> grad_outputs,
                 absl::Span<AbstractTensorHandle*> grad_inputs) override {
    AbstractTensorHandle* upstream_grad = grad_outputs[0];
    AbstractTensorHandle* activations = forward_outputs_[0];

    // Calculate Grad

.useSummary caption a:visited {
    color:var(--navbar-text-color);
}
.overviewSummary caption span, .memberSummary caption span, .typeSummary caption span,
.useSummary caption span, .constantsSummary caption span, .deprecatedSummary caption span,
.requiresSummary caption span, .packagesSummary caption span, .providesSummary caption span,
.usesSummary caption span {
    white-space:nowrap;
    padding-top:5px;
    padding-left:12px;

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

}

std::vector<int64_t> MakeTensorIDList(
    absl::Span<AbstractTensorHandle* const> tensors) {
  std::vector<int64_t> ids(tensors.size());
  for (int i = 0; i < tensors.size(); i++) {
    ids[i] = ToId(tensors[i]);
  }
  return ids;
}

Status Tape::ComputeGradient(
    AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets,
    absl::Span<AbstractTensorHandle* const> sources,

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

			}
		*/
	)
	defer span.End(500 * time.Millisecond)

	span.AddEvent("About to decode encrypted object")
	// Deserialize the EncryptedObject from the data.
	encryptedObject, err := t.doDecode(data)
	if err != nil {
		span.AddEvent("Decoding encrypted object failed")
		span.RecordError(err)
		return nil, false, err
	}
	span.AddEvent("Decoded encrypted object")

#include "tsl/platform/status.h"

namespace tensorflow {

Status GetVariableInfosFromInputs(ResourceMgr* rm, DeviceBase* dev,
                                  absl::Span<const Tensor* const> inputs,
                                  absl::Span<const int> variable_indices,
                                  std::vector<VariableInfo>* result) {
  return GetVariableInfosFromInputs(rm, dev, inputs, variable_indices, nullptr,