chore: import upstream snapshot with attribution

python/tvm/relax/op/unary.py

@@ -0,0 +1,617 @@
+# 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=redefined-builtin, invalid-name
+"""Relax unary arithmetic operators."""
+
+from ..expr import Expr
+from ..utils import convert_to_expr
+from . import _ffi_api
+
+###################### Arithmetic operators ######################
+
+
+def abs(x: Expr) -> Expr:
+    """Compute element-wise absolute value of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.abs(x)  # type: ignore
+
+
+def acos(x: Expr) -> Expr:
+    """Compute element-wise arc cos of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.acos(x)  # type: ignore
+
+
+def acosh(x: Expr) -> Expr:
+    """Compute element-wise arc cosh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.acosh(x)  # type: ignore
+
+
+def asin(x: Expr) -> Expr:
+    """Compute element-wise arc sin of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.asin(x)  # type: ignore
+
+
+def asinh(x: Expr) -> Expr:
+    """Compute element-wise arc sinh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.asinh(x)  # type: ignore
+
+
+def atan(x: Expr) -> Expr:
+    """Compute element-wise arc tan of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.atan(x)  # type: ignore
+
+
+def atanh(x: Expr) -> Expr:
+    """Compute element-wise arc tanh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.atanh(x)  # type: ignore
+
+
+def bitwise_not(x: Expr) -> Expr:
+    """Compute bitwise NOT of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.bitwise_not(x)  # type: ignore
+
+
+def ceil(x: Expr) -> Expr:
+    """Take ceil of input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.ceil(x)  # type: ignore
+
+
+def cos(x: Expr) -> Expr:
+    """Compute element-wise cos of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.cos(x)  # type: ignore
+
+
+def cosh(x: Expr) -> Expr:
+    """Compute element-wise cosh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.cosh(x)  # type: ignore
+
+
+def exp(x: Expr) -> Expr:
+    """Compute element-wise exp of data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.exp(x)  # type: ignore
+
+
+def floor(x: Expr) -> Expr:
+    """Take floor of input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.floor(x)  # type: ignore
+
+
+def log(x: Expr) -> Expr:
+    """Compute element-wise natural logarithm of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.log(x)  # type: ignore
+
+
+def logical_not(x: Expr) -> Expr:
+    """Compute logical NOT of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.logical_not(x)  # type: ignore
+
+
+def negative(x: Expr) -> Expr:
+    """Compute element-wise negative of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result
+    """
+    return _ffi_api.negative(x)  # type: ignore
+
+
+def round(x: Expr) -> Expr:
+    """Rounds each element of the input data to nearest integer.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.round(x)  # type: ignore
+
+
+def rsqrt(x: Expr) -> Expr:
+    """Compute element-wise reciprocal square root of the input data.
+
+    .. math::
+
+      1/sqrt(x)
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.rsqrt(x)  # type: ignore
+
+
+def sigmoid(x: Expr) -> Expr:
+    """Compute element-wise sigmoid of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.sigmoid(x)  # type: ignore
+
+
+def sign(x: Expr) -> Expr:
+    """Returns an indication of the sign of a number for each element of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.sign(x)  # type: ignore
+
+
+def sin(x: Expr) -> Expr:
+    """Compute element-wise sin of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.sin(x)  # type: ignore
+
+
+def sinh(x: Expr) -> Expr:
+    """Compute element-wise sinh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.sinh(x)  # type: ignore
+
+
+def square(x: Expr) -> Expr:
+    """Squares each element of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.square(x)  # type: ignore
+
+
+def sqrt(x: Expr) -> Expr:
+    """Compute element-wise square root of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.sqrt(x)  # type: ignore
+
+
+def tan(x: Expr) -> Expr:
+    """Compute element-wise tan of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.tan(x)  # type: ignore
+
+
+def tanh(x: Expr) -> Expr:
+    """Compute element-wise tanh of the input data.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+
+    Note
+    ----
+    The input tensor is required to have float dtype
+    """
+    return _ffi_api.tanh(x)  # type: ignore
+
+
+def trunc(x: Expr) -> Expr:
+    """Take trunc of input data.
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.trunc(x)  # type: ignore
+
+
+def clip(x: Expr, min: Expr, max: Expr) -> Expr:
+    """Clips tensor values to a specified min and max.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    min : relax.Expr
+        The minimum value
+
+    max : relax.Expr
+        The maximum value
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    min = convert_to_expr(min)
+    max = convert_to_expr(max)
+    return _ffi_api.clip(x, min, max)  # type: ignore
+
+
+def erf(x: Expr) -> Expr:
+    """Computes the error function of the input.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        Computed error function for each element.
+    """
+    return _ffi_api.erf(x)  # type: ignore
+
+
+###################### Check operators ######################
+
+
+def isfinite(x: Expr) -> Expr:
+    """Check if input value is finite.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.isfinite(x)  # type: ignore
+
+
+def isinf(x: Expr) -> Expr:
+    """Check if input value is infinite.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.isinf(x)  # type: ignore
+
+
+def isnan(x: Expr) -> Expr:
+    """Check if input value is Nan.
+
+    Parameters
+    ----------
+    x : relax.Expr
+        The input data
+
+    Returns
+    -------
+    result : relax.Expr
+        The computed result.
+    """
+    return _ffi_api.isnan(x)  # type: ignore