tkonolige commented on a change in pull request #6274:
URL: https://github.com/apache/incubator-tvm/pull/6274#discussion_r496878564
##########
File path: python/tvm/relay/prelude.py
##########
@@ -259,33 +284,40 @@ def define_tensor_array_read(self):
Tensor[self.shape, self.dtype]
"""
read_name = self.get_name("tensor_array_read")
- read_var = self._create_global_var(read_name)
- setattr(self.prelude, read_name, read_var)
- tensor_type_var = self.get_var("tensor_t")
+ read_var = GlobalVar(read_name)
- tensor_array = Var("tensor_array", self.prelude.l(tensor_type_var()))
+ tensor_array = Var("tensor_array", self.list(self.tensor_type_var()))
n = Var("x", scalar_type("int32"))
self.prelude.mod[read_var] = Function(
- [tensor_array, n], self.prelude.nth(tensor_array, n),
tensor_type_var(), []
+ [tensor_array, n], self.prelude.nth(tensor_array, n),
self.tensor_type_var(), []
)
+ def is_cached(self, name):
+ try:
+ self.prelude.mod.get_global_var(name)
+ return True
+ except ValueError:
+ return False
+
def define_tensor_array_write(self):
"""Defines a function to update a tensor array at index n with value v.
tensor_array_write(ta, n, v) :
list[static_tensor_t] -> Tensor[(), int32] -> Tensor[self.shape,
self.dtype] ->
list[static_tensor_t]
"""
write_name = self.get_name("tensor_array_write")
- write_var = self._create_global_var(write_name)
- setattr(self.prelude, write_name, write_var)
- tensor_type_var = self.get_var("tensor_t")
- tensor_array = Var("tensor_array", self.prelude.l(tensor_type_var()))
+ if self.is_cached(write_name):
+ return
+
+ print(write_name)
Review comment:
Probably don't need this.
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