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[Unity] Enhance Torch-consistency in rehsape #16360

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Merged
yongwww merged 1 commit into from
Jan 7, 2024
Merged

[Unity] Enhance Torch-consistency in rehsape #16360

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4 changes: 2 additions & 2 deletions python/tvm/relax/frontend/nn/_tensor_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,10 +78,10 @@ def minimum(self, other):
other = _convert_scalar(other, self)
return _op().minimum(self, other)

def reshape(self, shape):
def reshape(self, *shape):
return _op().reshape(self, shape)

def permute_dims(self, axes):
def permute_dims(self, *axes):
return _op().permute_dims(self, axes)

def repeat(self, repeats: int, axis: Optional[int] = None):
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10 changes: 5 additions & 5 deletions tests/python/relax/test_frontend_nn_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,15 +14,15 @@
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import numpy as np
import pytest

import tvm
import tvm.testing
from tvm import relax
from tvm.relax.frontend.nn import Tensor, Module, spec
from tvm.relax.frontend.nn import Module, Tensor, spec
from tvm.script import relax as R

import numpy as np


def test_tensor_from_numpy():
x = np.random.rand(1, 10)
Expand Down Expand Up @@ -136,8 +136,8 @@ def test(x: R.Tensor((1, 10), dtype="float32"), _io: R.Object) -> R.Tuple(R.Tens
def test_tensor_op_manipulate():
class Model(Module):
def test(self, x: Tensor):
z0 = x.reshape([2, 5, 2])
z1 = x.permute_dims([2, 1, 0])
z0 = x.reshape(2, 5, 2)
z1 = x.permute_dims(2, 1, 0)
z2 = x.repeat(2, axis=1)
return (z0, z1, z2)

Expand Down