chore: import upstream snapshot with attribution

2026-07-13 13:36:25 +08:00
commit 26446540fa
3151 changed files with 974126 additions and 0 deletions
@@ -0,0 +1,104 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# ruff: noqa: F821
+"""Adding member operators to nn.Tensor."""
+
+from tvm import tirx
+
+
+def _op():
+    from tvm.relax.frontend.nn import op  # pylint: disable=import-outside-toplevel
+
+    return op
+
+
+def _convert_scalar(scalar, ref) -> "Tensor":
+    from .core import Tensor  # pylint: disable=import-outside-toplevel
+
+    if isinstance(scalar, Tensor):
+        return scalar
+    if isinstance(scalar, tirx.FloatImm | tirx.IntImm):
+        return Tensor.from_scalar(scalar.value, dtype=ref.dtype)
+    if isinstance(scalar, int | float):
+        return Tensor.from_scalar(scalar, dtype=ref.dtype)
+    return scalar
+
+
+class _TensorOp:
+    def __add__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().add(self, other)
+
+    def __radd__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().add(self, other)
+
+    def __sub__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().subtract(self, other)
+
+    def __rsub__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().subtract(other, self)
+
+    def __mul__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().multiply(self, other)
+
+    def __rmul__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().multiply(self, other)
+
+    def __truediv__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().divide(self, other)
+
+    def __lt__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().less(self, other)
+
+    def __le__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().less_equal(self, other)
+
+    def __gt__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().greater(self, other)
+
+    def __ge__(self, other):
+        other = _convert_scalar(other, self)
+        return _op().greater_equal(self, other)
+
+    def astype(self, dtype):
+        return _op().astype(self, dtype)
+
+    def maximum(self, other):
+        other = _convert_scalar(other, self)
+        return _op().maximum(self, other)
+
+    def minimum(self, other):
+        other = _convert_scalar(other, self)
+        return _op().minimum(self, other)
+
+    def reshape(self, *shape):
+        return _op().reshape(self, shape)
+
+    def permute_dims(self, *axes):
+        return _op().permute_dims(self, axes)
+
+    def repeat(self, repeats: int, axis: int | None = None):
+        return _op().repeat(self, repeats, axis)