> ## Documentation Index
> Fetch the complete documentation index at: https://training-docs.cerebras.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Profiling the Executor 

We provide tools through the `DataExecutor` to profile its performance during the run. Currently, the supported activities can be profiled as follows:

| Activity            | Description                                                                                                                                                                                                           |
| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `total_samples`     | Total number of samples processed so far                                                                                                                                                                              |
| `total_time`        | Elapsed time so far, in seconds                                                                                                                                                                                       |
| `rate`              | Client side smoothed samples/second of all the samples added since last queried                                                                                                                                       |
| `global_rate`       | Non-smoothed samples/second since the beginning of when the executor context was entered. For a more detailed explanation see [Measure throughput of your model](../../fundamentals/measure-throughput-of-your-model) |
| `samples_per_sec`   | Non-smoothed samples/second since the beginning of when the executor context was entered. This value is the same as `global_rate`                                                                                     |
| `flops_utilization` | Real flops utilization for the run                                                                                                                                                                                    |

You can track activity performance using names and the [`DataExecutor`](https://training-api.cerebras.ai/en/latest/wsc/api/cerebras_pytorch/cstorch.html#cerebras.pytorch.utils.data.DataExecutor "cerebras.pytorch.utils.data.DataExecutor") profiler.

For example:

```python theme={null}
executor = cstorch.utils.data.DataExecutor(...)
...
print(f"Total samples: {executor.profiler.rate_tracker.total_samples}")
print(f"Total time: {executor.profiler.rate_tracker.total_time}")
print(f"Rate: {executor.profiler.rate_tracker.rate}")
print(f"Global rate: {executor.profiler.rate_tracker.global_rate}")
print(f"Samples/sec: {executor.profiler.rate_tracker.samples_per_sec}")
print(f"Flops utilization: {executor.profiler.rate_tracker.flops_utilization}")
```