Merge pull request #1270 from IntelPython/logical-operators-impl

Implements logical operators and, or, xor, and not

dpctl/tensor/__init__.py

@@ -111,6 +111,10 @@
     less_equal,
     log,
     log1p,
+    logical_and,
+    logical_not,
+    logical_or,
+    logical_xor,
     multiply,
     not_equal,
     proj,
@@ -211,6 +215,10 @@
     "less",
     "less_equal",
     "log",
+    "logical_and",
+    "logical_not",
+    "logical_or",
+    "logical_xor",
     "log1p",
     "proj",
     "real",

dpctl/tensor/_elementwise_funcs.py

@@ -572,16 +572,116 @@
 # FIXME: implement B15
 
 # B16: ==== LOGICAL_AND (x1, x2)
-# FIXME: implement B16
+_logical_and_docstring_ = """
+logical_and(x1, x2, out=None, order='K')
+
+Computes the logical AND for each element `x1_i` of the input array `x1`
+with the respective element `x2_i` of the input array `x2`.
+
+Args:
+    x1 (usm_ndarray):
+        First input array.
+    x2 (usm_ndarray):
+        Second input array.
+    out ({None, usm_ndarray}, optional):
+        Output array to populate.
+        Array have the correct shape and the expected data type.
+    order ("C","F","A","K", optional):
+        Memory layout of the newly output array, if parameter `out` is `None`.
+        Default: "K".
+Returns:
+    usm_narray:
+        An array containing the element-wise logical AND results.
+"""
+logical_and = BinaryElementwiseFunc(
+    "logical_and",
+    ti._logical_and_result_type,
+    ti._logical_and,
+    _logical_and_docstring_,
+)
 
 # U24: ==== LOGICAL_NOT (x)
-# FIXME: implement U24
+_logical_not_docstring = """
+logical_not(x, out=None, order='K')
+Computes the logical NOT for each element `x_i` of input array `x`.
+Args:
+    x (usm_ndarray):
+        Input array.
+    out (usm_ndarray):
+        Output array to populate. Array must have the correct
+        shape and the expected data type.
+    order ("C","F","A","K", optional): memory layout of the new
+        output array, if parameter `out` is `None`.
+        Default: "K".
+Return:
+    usm_ndarray:
+        An array containing the element-wise logical NOT results.
+"""
+
+logical_not = UnaryElementwiseFunc(
+    "logical_not",
+    ti._logical_not_result_type,
+    ti._logical_not,
+    _logical_not_docstring,
+)
 
 # B17: ==== LOGICAL_OR  (x1, x2)
-# FIXME: implement B17
+_logical_or_docstring_ = """
+logical_or(x1, x2, out=None, order='K')
+
+Computes the logical OR for each element `x1_i` of the input array `x1`
+with the respective element `x2_i` of the input array `x2`.
+
+Args:
+    x1 (usm_ndarray):
+        First input array.
+    x2 (usm_ndarray):
+        Second input array.
+    out ({None, usm_ndarray}, optional):
+        Output array to populate.
+        Array have the correct shape and the expected data type.
+    order ("C","F","A","K", optional):
+        Memory layout of the newly output array, if parameter `out` is `None`.
+        Default: "K".
+Returns:
+    usm_narray:
+        An array containing the element-wise logical OR results.
+"""
+logical_or = BinaryElementwiseFunc(
+    "logical_or",
+    ti._logical_or_result_type,
+    ti._logical_or,
+    _logical_or_docstring_,
+)
 
 # B18: ==== LOGICAL_XOR (x1, x2)
-# FIXME: implement B18
+_logical_xor_docstring_ = """
+logical_xor(x1, x2, out=None, order='K')
+
+Computes the logical XOR for each element `x1_i` of the input array `x1`
+with the respective element `x2_i` of the input array `x2`.
+
+Args:
+    x1 (usm_ndarray):
+        First input array.
+    x2 (usm_ndarray):
+        Second input array.
+    out ({None, usm_ndarray}, optional):
+        Output array to populate.
+        Array have the correct shape and the expected data type.
+    order ("C","F","A","K", optional):
+        Memory layout of the newly output array, if parameter `out` is `None`.
+        Default: "K".
+Returns:
+    usm_narray:
+        An array containing the element-wise logical XOR results.
+"""
+logical_xor = BinaryElementwiseFunc(
+    "logical_xor",
+    ti._logical_xor_result_type,
+    ti._logical_xor,
+    _logical_xor_docstring_,
+)
 
 # B19: ==== MULTIPLY    (x1, x2)
 _multiply_docstring_ = """