zhiics commented on a change in pull request #4643: [REFACTOR] Replace
TensorObj and TensorValue with NDArray
URL: https://github.com/apache/incubator-tvm/pull/4643#discussion_r364382587
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File path: python/tvm/relay/backend/interpreter.py
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@@ -23,27 +23,13 @@
from . import _backend
from .. import _make, analysis, transform
from .. import module
-from ... import register_func, nd
+from ... import nd
from ..base import NodeBase, register_relay_node
from ..expr import Tuple, RefCreate, Call, Constant, GlobalVar, Function, const
from ..scope_builder import ScopeBuilder
-from . import _vm
-
-class Value(NodeBase):
- """Base class of all values.
- """
- @staticmethod
- @register_func("relay.from_scalar")
- def from_scalar(value, dtype=None):
- """Convert a Python scalar to a Relay scalar."""
- return TensorValue(const(value, dtype).data)
-
- def to_vm(self):
- return _vm._ValueToVM(self)
-
@register_relay_node
-class TupleValue(Value):
+class TupleValue(NodeBase):
Review comment:
Yes, I tried it, but it looked to me that we have to merge nodebase to
object first before I can use object directly as there are fields not
implemented in object, like getattr, etc. Should I use nodebase first then we
can refactor them together?
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