chore: import upstream snapshot with attribution

python/tvm/topi/tensor.py

@@ -0,0 +1,113 @@
+# 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.
+# pylint: disable=invalid-name,consider-using-enumerate,unused-argument,len-as-condition
+"""Elementwise operators"""
+
+import math as _math
+
+from tvm import te
+
+from . import cpp
+
+
+def elemwise_sum(xs):
+    """Perform element-wise sum on inputs
+
+    Parameters
+    ----------
+    xs : list of tvm.te.Tensor
+        Input arguments.
+
+    Returns
+    -------
+    y : tvm.te.Tensor
+        The result.
+    """
+    return cpp.elemwise_sum(xs)
+
+
+def full(shape, dtype, fill_value):
+    """Fill tensor with fill_value
+
+    Parameters
+    ----------
+    shape : tuple
+        Input tensor shape.
+    dtype : str
+        Data type
+    fill_value : float
+        Value to be filled
+
+    Returns
+    -------
+    y : tvm.te.Tensor
+        The result.
+    """
+
+    if isinstance(fill_value, int | float) and (_math.isinf(fill_value) or _math.isnan(fill_value)):
+        if not ("float" in dtype or "bfloat16" in dtype):
+            raise ValueError("Infinite and NaN require a floating-point dtype.")
+
+    return cpp.full(shape, dtype, fill_value)
+
+
+def full_like(x, fill_value):
+    """Construct a tensor with same shape as input tensor,
+       then fill tensor with fill_value.
+
+    Parameters
+    ----------
+    x : tvm.te.Tensor
+        Input argument.
+    fill_value : float
+        Value to be filled
+
+    Returns
+    -------
+    y : tvm.te.Tensor
+        The result.
+    """
+    return cpp.full_like(x, fill_value)
+
+
+def eye(n: int, m: int | None = None, k: int = 0, dtype: str = "float32") -> te.Tensor:
+    """Generate an identity matrix or a matrix with ones on the k-th diagonal.
+
+    Parameters
+    ----------
+    n : int
+        Number of rows
+    m : int, optional
+        Number of columns. If None, defaults to n.
+    k : int, optional
+        Index of the diagonal. 0 (default) refers to the main diagonal.
+        A positive value refers to an upper diagonal, and a negative value
+        to a lower diagonal.
+    dtype : str, optional
+        Data type of the returned array.
+
+    Returns
+    -------
+    y : tvm.te.Tensor
+        The result.
+    """
+    m = m if m is not None else n
+    return te.compute(
+        (n, m),
+        lambda i, j: te.if_then_else(i == j - k, te.const(1, dtype), te.const(0, dtype)),
+        name="eye",
+    )