chore: import upstream snapshot with attribution

python/tvm/relax/op/mask.py

@@ -0,0 +1,39 @@
+# 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.
+"""Operators with mask."""
+
+from ..expr import Expr
+from . import _ffi_api
+
+
+def masked_fill(x: Expr, mask: Expr, value: Expr):
+    """Fill a tensor by a specified value in places defined by a mask.
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data to the operator.
+    mask : relax.Expr
+        The mask.
+    value : relax.Expr
+        The value to set in the input tensor.
+    Returns
+    -------
+    result : relax.Expr
+        The filled tensor.
+    """
+    values = _ffi_api.full_like(x, value, value.ty.dtype.dtype)  # type: ignore
+    return _ffi_api.where(mask, values, x)  # type: ignore