vandanavk commented on a change in pull request #12498: Code modification for
testcases of various network models in directory example
URL: https://github.com/apache/incubator-mxnet/pull/12498#discussion_r237272634
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File path: example/bayesian-methods/bdk_demo.py
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@@ -156,19 +156,22 @@ def get_toy_sym(teacher=True,
teacher_noise_precision=None):
return net
-def dev():
- return mx.gpu()
+def dev(xpu):
+ if xpu == None:
+ return mx.cpu()
+ else:
+ return mx.gpu(xpu)
def run_mnist_SGD(training_num=50000):
X, Y, X_test, Y_test = load_mnist(training_num)
minibatch_size = 100
net = get_mnist_sym()
data_shape = (minibatch_size,) + X.shape[1::]
- data_inputs = {'data': nd.zeros(data_shape, ctx=dev()),
- 'softmax_label': nd.zeros((minibatch_size,), ctx=dev())}
+ data_inputs = {'data': nd.zeros(data_shape, ctx=dev(xpu)),
Review comment:
does it need `def run_mnist_SGD(training_num=50000, xpu=None)` here?
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