alexwong commented on a change in pull request #4964: [Torch] Add initial
control flow support
URL: https://github.com/apache/incubator-tvm/pull/4964#discussion_r386682053
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -614,6 +615,55 @@ def _impl(inputs, input_types):
return _op.tensor.sqrt(data)
return _impl
+def _neg():
+ def _impl(inputs, input_types):
+ data = inputs[0]
+ return _op.tensor.negative(data)
+ return _impl
+
+def _tanh():
+ def _impl(inputs, input_types):
+ data = inputs[0]
+ return _op.tensor.tanh(data)
+ return _impl
+
+def _ge():
+ def _impl(inputs, input_types):
+ assert len(inputs) == 2
+ lhs = _wrap_const(inputs[0])
+ rhs = _wrap_const(inputs[1])
+ return _op.tensor.greater_equal(lhs, rhs)
+ return _impl
+
+def _gt():
+ def _impl(inputs, input_types):
+ assert len(inputs) == 2
+ lhs = _wrap_const(inputs[0])
+ rhs = _wrap_const(inputs[1])
+ return _op.tensor.greater(lhs, rhs)
+ return _impl
+
+def _lt():
+ def _impl(inputs, input_types):
+ assert len(inputs) == 2
+ lhs = _wrap_const(inputs[0])
+ rhs = _wrap_const(inputs[1])
+ return _op.tensor.less(lhs, rhs)
+ return _impl
+
+def _Bool():
+ def _impl(inputs, input_types):
Review comment:
I was thinking add an assert on the type of the input since we are just
returning it.
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