ThomasDelteil commented on a change in pull request #12918: Update adversary
attack generation example
URL: https://github.com/apache/incubator-mxnet/pull/12918#discussion_r227978104
##########
File path: example/adversary/adversary_generation.ipynb
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@@ -28,290 +27,312 @@
"import matplotlib.pyplot as plt\n",
"import matplotlib.cm as cm\n",
"\n",
- "from mxnet.test_utils import get_mnist_iterator"
+ "from mxnet import gluon"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Build Network\n",
- "\n",
- "note: in this network, we will calculate softmax, gradient in numpy"
+ "Build simple CNN network for solving the MNIST dataset digit recognition
task"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
- "dev = mx.cpu()\n",
- "batch_size = 100\n",
- "train_iter, val_iter = get_mnist_iterator(batch_size=batch_size,
input_shape = (1,28,28))"
+ "ctx = mx.gpu() if len(mx.test_utils.list_gpus()) else mx.cpu()\n",
Review comment:
Fixed the utils, this error should be caught and range(0,0) should be
returned.
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