anirudhacharya commented on a change in pull request #11229: [MXNET-379] L1
Normalization
URL: https://github.com/apache/incubator-mxnet/pull/11229#discussion_r194530768
##########
File path: tests/python/unittest/test_operator.py
##########
@@ -2879,6 +2879,36 @@ def npy_layer_norm(data, gamma, beta, axis=1, eps=1E-5):
grad_nodes={'data': req, 'gamma': req, 'beta':
req},
numeric_eps=1e-2, rtol=1e-2, atol=1e-2)
+@with_seed()
+def test_norml1():
+ def npy_l1norm(data, axis):
+ np.sum(abs(np_arr), axis=i, keepdims=True)
+ ctx = default_context()
+ data = mx.symbol.Variable('data')
+
+ for dtype in [np.float16, np.float32, np.float64]:
+ dtype = np.float32
Review comment:
had put in for debugging something. will remove it and randomize the shape
tuple with ``test_utils.rand_shape_nd``
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