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[example] minor fix for alexnet #147

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Sep 24, 2015
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[example] minor fix for alexnet #147

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8 changes: 4 additions & 4 deletions example/imagenet/README.md
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Expand Up @@ -11,9 +11,9 @@ TODO

## Results

Machine: Dual Xeon E5-2680 2.8GHz, Dual GTX 980, Ubuntu 14.0, GCC 4.8, MKL, CUDA
Machine: Dual Xeon E5-2680 2.8GHz, GTX 980, Ubuntu 14.0, GCC 4.8, MKL, CUDA
7, CUDNN v3

| | val accuracy | 1 x GTX 980 | 2 x GTX 980 |
| --- | ---: | ---: | ---: | ---: |
| `alexnet.py` | ? | ? | 400 img/sec |
| | val accuracy | 1 x GTX 980 | 2 x GTX 980 | 4 x GTX 980 |
| --- | ---: | ---: | ---: | ---: | ---: |
| `alexnet.py` | ? | ? | 1020 img/sec | |
5 changes: 3 additions & 2 deletions example/imagenet/alexnet.py
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Expand Up @@ -44,7 +44,8 @@


## data
train, val = ilsvrc12_iterator(batch_size=256, input_shape=(3,224,224))
batch_size = 256
train, val = ilsvrc12_iterator(batch_size=batch_size, input_shape=(3,224,224))

## train
num_gpus = 2
Expand All @@ -58,4 +59,4 @@
wd = 0.00001)
logging.basicConfig(level = logging.DEBUG)
model.fit(X = train, eval_data = val,
epoch_end_callback = mx.callback.Speedometer(100))
epoch_end_callback = mx.callback.Speedometer(batch_size=batch_size))