AndrewZhaoLuo commented on a change in pull request #9946:
URL: https://github.com/apache/tvm/pull/9946#discussion_r791061268
##########
File path: python/tvm/relay/frontend/common.py
##########
@@ -938,9 +939,14 @@ def ensure_scalar_shape(x):
return x
num_elem = np.prod(x_shape)
- assert num_elem == 1, "Cannot squeeze tensor shape {} to scalar
form.".format(x_shape)
-
- return _op.squeeze(x)
+ if num_elem == 1:
+ return _op.squeeze(x)
+ else:
+ if force_assert:
+ assert num_elem == 1, "Cannot squeeze tensor shape {} to scalar
form.".format(x_shape)
+ else:
+ return x
Review comment:
This changes the behavior of `ensure_scalar_shape` -- now we can return
non-scalar elements, I would instead in `QLinearMatMul's`
`try_resolve_to_const` simply, wrap `ensure_scalar_shape` calls with a check if
the number of elements is 1.
##########
File path: python/tvm/relay/frontend/common.py
##########
@@ -938,9 +939,14 @@ def ensure_scalar_shape(x):
return x
num_elem = np.prod(x_shape)
- assert num_elem == 1, "Cannot squeeze tensor shape {} to scalar
form.".format(x_shape)
-
- return _op.squeeze(x)
+ if num_elem == 1:
+ return _op.squeeze(x)
+ else:
+ if force_assert:
+ assert num_elem == 1, "Cannot squeeze tensor shape {} to scalar
form.".format(x_shape)
Review comment:
In this codepath, you will return None
##########
File path: python/tvm/relay/frontend/onnx.py
##########
@@ -3804,10 +3804,9 @@ def _impl_v10(cls, inputs, attr, params):
#
# This function attempts to present 'x' in a form that meets both of
those
# requirements.
- def try_resolve_to_const_scalar(x, dtype_override=None):
+ def try_resolve_to_const(x, dtype_override=None, allow1D=False):
x2 = try_resolve_var_to_const(x, params)
- x3 = ensure_scalar_shape(x2)
Review comment:
echoing above, instead of adding a new flag to ensure_scalar_shape that
breaks invariants, take the check you wrote and push it out here.
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