# EventList

Source: https://www.tensorplay.cn/docs/generated/tensorplay.profiler.EventList.html

```python
class tensorplay.profiler.EventList(raw=(), base_ns=0, gpu_activities=None, mem_events=None, samples=None, with_stack=False)
```

Raw profiler events with analysis and export helpers.

```python
copy()
```

Return a shallow copy of the list.

```python
count(value, /)
```

Return number of occurrences of value.

```python
device_kernels(sort_by=None)
```

What the device ran, by the name the device knows it by.

Separate from the per-operation view because a kernel is not an
operation: work this project’s own code launches belongs to whatever
operation happened to be in flight, and naming it is the only way to
find out it ran at all.

```python
property device_time_by_span
```

For each collected span, the device time of the work inside it.

Kept alongside the events because the two answer different questions: a
span’s own event says how long the span took on the host, and this says
how long the device was busy for it, which for a span that only encloses
work is the whole of what was being asked.

```python
index(value, start=0, stop=9223372036854775807, /)
```

Return first index of value.

Raises ValueError if the value is not present.

```python
pop(index=-1, /)
```

Remove and return item at index (default last).

Raises IndexError if list is empty or index is out of range.

```python
remove(value, /)
```

Remove first occurrence of value.

Raises ValueError if the value is not present.

```python
reverse()
```

Reverse IN PLACE.

```python
sort(*, key=None, reverse=False)
```

Sort the list in ascending order and return None.

The sort is in-place (i.e. the list itself is modified) and stable (i.e. the
order of two equal elements is maintained).

If a key function is given, apply it once to each list item and sort them,
ascending or descending, according to their function values.

The reverse flag can be set to sort in descending order.