access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r383532362
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File path: tests/nightly/test_large_array.py
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@@ -455,6 +455,21 @@ def npy_instance_norm(data, gamma, beta, axis, eps=1E-5):
assert_almost_equal(out, out_nd.asnumpy(), forward_check_eps,
forward_check_eps)
+ def check_rnn():
+ data = nd.random_normal(shape=(2**28, 4, 4))
+ parameters = nd.random_normal(shape=(7,))
+ state = nd.random_normal(shape=(1, 4, 1))
+ mode = 'rnn_relu'
+ state_size = 1
+ num_layers = 1
+
+ out = nd.RNN(data=data, parameters=parameters, state=state, mode=mode,
+ state_size=state_size, num_layers=num_layers)
+
+ assert out.shape[0] == 268435456
Review comment:
Please use constants for constant values. Its good practise and you may need
to re-use them in future tests too.
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