wkcn commented on a change in pull request #16750: [Numpy] add custom op sort
URL: https://github.com/apache/incubator-mxnet/pull/16750#discussion_r351080020
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File path: python/mxnet/numpy_op_fallback.py
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@@ -49,6 +49,49 @@ def _register_helper(prop_cls):
return _register_helper
+@use_np # enforce np shape and array semantics for all the methods in this
class
+class Sort(operator.CustomOp):
+ """Fallback to NumPy sort operator."""
+ def __init__(self, axis, kind):
+ super(Sort, self).__init__()
+ self._axis = axis
+ self._kind = kind
+
+ def forward(self, is_train, req, in_data, out_data, aux):
+ out = np.sort(in_data[0].asnumpy(), self._axis, self._kind)
+ self.assign(out_data[0], req[0], _mx_np.array(out, dtype=out.dtype,
ctx=out_data[0].ctx))
+
+ def backward(self, req, out_grad, in_data, out_data, in_grad, aux):
+ raise NotImplementedError('Operator sort does not support gradient
computation')
Review comment:
I think it is suitable to use numpy.argsort to get the index in forward.
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