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Benchmark doc fix #15769

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merged 8 commits into from
Aug 20, 2019
Merged

Benchmark doc fix #15769

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60c4dc7
Update pre-req for opperf
ChaiBapchya Aug 6, 2019
5de11b8
Update README.md
ChaiBapchya Aug 6, 2019
d7b66c4
Merge branch 'master' into benchmark_doc_fix
ChaiBapchya Aug 13, 2019
1db2196
correct command to import binary broadcast
ChaiBapchya Aug 13, 2019
c1999cf
no such op called nd.sub, it is nd.subtract
ChaiBapchya Aug 13, 2019
964f3dd
Trigger notification
ChaiBapchya Aug 14, 2019
0bfd64e
Trigger notification
ChaiBapchya Aug 15, 2019
09d0c89
Merge branch 'master' into benchmark_doc_fix
ChaiBapchya Aug 15, 2019
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9 changes: 6 additions & 3 deletions benchmark/opperf/README.md
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Expand Up @@ -47,7 +47,10 @@ Hence, in this utility, we will build the functionality to allow users and devel

## Prerequisites

Make sure to build the flavor of MXNet, for example - with/without MKL, with CUDA 9 or 10.1 etc., on which you would like to measure operator performance. Finally, you need to add path to your cloned MXNet repository to the PYTHONPATH.
Provided you have MXNet installed (any version >= 1.5.1), all you need to use opperf utility is to add path to your cloned MXNet repository to the PYTHONPATH.
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It would be great to give a one line example.

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In the note I have added link to how to install MXNet (page) instead of giving just 1 of the 10 different ways to install mxnet


Note:
To install MXNet, refer [Installing MXNet page](https://mxnet.incubator.apache.org/versions/master/install/index.html)

```
export PYTHONPATH=$PYTHONPATH:/path/to/incubator-mxnet/
Expand Down Expand Up @@ -75,7 +78,7 @@ For example, you want to run benchmarks for all NDArray Broadcast Binary Operato

```
#!/usr/bin/python
from benchmark.opperf.nd_operations.binary_broadcast_operators import run_mx_binary_broadcast_operators_benchmarks
from benchmark.opperf.nd_operations.binary_operators import run_mx_binary_broadcast_operators_benchmarks
# Run all Binary Broadcast operations benchmarks with default input values
print(run_mx_binary_broadcast_operators_benchmarks())
Expand Down Expand Up @@ -136,7 +139,7 @@ from mxnet import nd
from benchmark.opperf.utils.benchmark_utils import run_performance_test
add_res = run_performance_test([nd.add, nd.sub], run_backward=True, dtype='float32', ctx=mx.cpu(),
add_res = run_performance_test([nd.add, nd.subtract], run_backward=True, dtype='float32', ctx=mx.cpu(),
inputs=[{"lhs": (1024, 1024),
"rhs": (1024, 1024)}],
warmup=10, runs=25)
Expand Down