Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

update profiler tutorial #15580

Merged
merged 9 commits into from
Jul 26, 2019
Merged

update profiler tutorial #15580

Changes from 3 commits
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
a64dc04
update profiler tutorial
Zha0q1 Jul 17, 2019
d23d337
Update profiler.md
Zha0q1 Jul 18, 2019
23706e3
Update profiler.md
Zha0q1 Jul 18, 2019
be8700b
Update profiler.md
Zha0q1 Jul 18, 2019
9abd4c4
Re-Trigger build
Zha0q1 Jul 19, 2019
102a38c
Re-Trigger build
Zha0q1 Jul 19, 2019
fee9b28
Merge branch 'profiler_tutorial_update' of github.com:Zha0q1/incubato…
Zha0q1 Jul 19, 2019
a2220fd
Re-Trigger build
Zha0q1 Jul 19, 2019
31de773
Update profiler.md
Zha0q1 Jul 26, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 15 additions & 12 deletions docs/tutorials/python/profiler.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -193,10 +193,10 @@ print(profiler.dumps())
You can also dump the information collected by the profiler into a `json` file using the `profiler.dump()` function and view it in a browser.

```python
profiler.dump()
profiler.dump(finished=False)
sandeep-krishnamurthy marked this conversation as resolved.
Show resolved Hide resolved
```

`dump()` creates a `json` file which can be viewed using a trace consumer like `chrome://tracing` in the Chrome browser. Here is a snapshot that shows the output of the profiling we did above.
`dump()` creates a `json` file which can be viewed using a trace consumer like `chrome://tracing` in the Chrome browser. Here is a snapshot that shows the output of the profiling we did above. Note that setting the `finished` parameter to `False` will prevent the profiler from finishing dumpint to file. If you just use `profiler.dump()`, you will no longer be able to profile the remaining sections of your model.
Zha0q1 marked this conversation as resolved.
Show resolved Hide resolved

![Tracing Screenshot](https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/tutorials/python/profiler/profiler_output_chrome.png)

Expand All @@ -212,11 +212,6 @@ Should the existing NDArray operators fail to meet all your model's needs, MXNet
Let's try profiling custom operators with the following code example:

```python

import mxnet as mx
sandeep-krishnamurthy marked this conversation as resolved.
Show resolved Hide resolved
from mxnet import nd
from mxnet import profiler

class MyAddOne(mx.operator.CustomOp):
def forward(self, is_train, req, in_data, out_data, aux):
self.assign(out_data[0], req[0], in_data[0]+1)
Expand Down Expand Up @@ -244,15 +239,17 @@ class CustomAddOneProp(mx.operator.CustomOpProp):

inp = mx.nd.zeros(shape=(500, 500))

profiler.set_config(profile_all=True, continuous_dump = True)
profiler.set_config(profile_all=True, continuous_dump=True, \
aggregate_stats=True)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

nit: indentation not aligned.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

fixed

profiler.set_state('run')

w = nd.Custom(inp, op_type="MyAddOne")

mx.nd.waitall()

profiler.set_state('stop')
profiler.dump()
print(profiler.dumps())
Zha0q1 marked this conversation as resolved.
Show resolved Hide resolved
profiler.dump(finished=False)
sandeep-krishnamurthy marked this conversation as resolved.
Show resolved Hide resolved
```

Here, we have created a custom operator called `MyAddOne`, and within its `forward()` function, we simply add one to the input. We can visualize the dump file in `chrome://tracing/`:
Expand All @@ -265,10 +262,10 @@ Please note that: to be able to see the previously described information, you ne

```python
# Set profile_all to True
profiler.set_config(profile_all=True, aggregate_stats=True, continuous_dump = True)
profiler.set_config(profile_all=True, aggregate_stats=True, continuous_dump=True)
Zha0q1 marked this conversation as resolved.
Show resolved Hide resolved
# OR, Explicitly Set profile_symbolic and profile_imperative to True
profiler.set_config(profile_symbolic = True, profile_imperative = True, \
aggregate_stats=True, continuous_dump = True)
profiler.set_config(profile_symbolic=True, profile_imperative=True, \
aggregate_stats=True, continuous_dump=True)

profiler.set_state('run')
# Use Symbolic Mode
Expand All @@ -278,9 +275,15 @@ c = b.bind(mx.cpu(), {'a': inp})
y = c.forward()
mx.nd.waitall()
profiler.set_state('stop')
print(profiler.dumps())
sandeep-krishnamurthy marked this conversation as resolved.
Show resolved Hide resolved
profiler.dump()
```

### Some Rules to Pay Attention to
1. Always use `profiler.dump(finished=False)` if you do not intend to finish dumping to file. Otherwise, calling `profiler.dump()` in the middle of your model may lead to unexpected behaviors; and if you subsequently call `profiler.set_config()`, the program will error out.

2. You can only dump to one file. Do not change the target file by calling `profiler.set_config(filename='new_name.json')` in the middle of your model. This will lead to incomplete dump outputs.

## Advanced: Using NVIDIA Profiling Tools

MXNet's Profiler is the recommended starting point for profiling MXNet code, but NVIDIA also provides a couple of tools for low-level profiling of CUDA code: [NVProf](https://devblogs.nvidia.com/cuda-pro-tip-nvprof-your-handy-universal-gpu-profiler/), [Visual Profiler](https://developer.nvidia.com/nvidia-visual-profiler) and [Nsight Compute](https://developer.nvidia.com/nsight-compute). You can use these tools to profile all kinds of executables, so they can be used for profiling Python scripts running MXNet. And you can use these in conjunction with the MXNet Profiler to see high-level information from MXNet alongside the low-level CUDA kernel information.
Expand Down