support bool str function

.jenkins/check/config/filter_pylint.txt

@@ -62,6 +62,7 @@
 "mindspore/mindspore/python/mindspore/ops/functional.py"                                                                 "unused-wildcard-import"
 "mindspore/mindspore/python/mindspore/_extends/parse/standard_method.py"                                                 "redefined-builtin"
 "mindspore/mindspore/python/mindspore/_extends/parse/standard_method.py"                                                 "protected-access"
+"mindspore/mindspore/python/mindspore/_extends/parse/standard_method.py"                                                 "len-as-condition"
 "mindspore/mindspore/python/mindspore/common/tensor.py"                                                                  "redefined-builtin"
 "mindspore/mindspore/python/mindspore/ops/function/array_func.py"                                                        "redefined-builtin"
 "mindspore/mindspore/python/mindspore/ops/operations/array_ops.py"                                                       "redefined-builtin"

mindspore/python/mindspore/_extends/parse/parser.py

@@ -100,7 +100,7 @@ _builtin_function_or_method_type = type(abs)
 
 # Unsupported python builtin type in graph mode.
 _unsupported_python_builtin_type = (
-    set, dict, slice, bool, str, complex, reversed, type,
+    set, dict, slice, complex, reversed, type,
 )
 
 _unsupported_internal_type = (

mindspore/python/mindspore/_extends/parse/resources.py

@@ -182,4 +182,6 @@ convert_class_to_function_map = {
     "class 'tuple'": M.tuple_func,
     "class 'int'":   M.int_func,
     "class 'float'": M.float_func,
+    "class 'bool'":  M.bool_func,
+    "class 'str'":   M.str_func
 }

mindspore/python/mindspore/_extends/parse/standard_method.py

@@ -1870,25 +1870,74 @@ def ms_round(*data):
 
 
 @constexpr
-def cast_to_int(data):
+def cast_to_str(data):
-    if isinstance(data, Tensor_):
+    return str(data)
-        data = Tensor(data, internal=True)
+
-    return int(data)
+
+def str_func(*data):
+    """Implementation of `str`."""
+    data_len = len(data)
+    if data_len >= 2:
+        const_utils.raise_type_error("str() requires 0 or 1 arguments.")
+    if data_len == 0:
+        return ''
+    data = data[0]
+    if isinstance(data, (CSRTensor, COOTensor, RowTensor)):
+        const_utils.raise_type_error("str() does not support sparse tensor input.")
+    if not F.isconstant(data):
+        const_utils.raise_type_error("str() does not support non-constant input.")
+    return cast_to_str(data)
+
+
+@constexpr
+def cast_to_bool(data):
+    return bool(data)
+
+
+def bool_func(*data):
+    """Implementation of `bool`."""
+    data_len = len(data)
+    if data_len >= 2:
+        const_utils.raise_type_error("bool() requires 0 or 1 arguments.")
+    if data_len == 0:
+        return False
+    data = data[0]
+    if isinstance(data, (CSRTensor, COOTensor, RowTensor)):
+        const_utils.raise_type_error("bool() does not support sparse tensor input.")
+    if isinstance(data, (Tensor, Tensor_)):
+        tensor_shape = F.shape(data)
+        tensor_shape_len = len(tensor_shape)
+        if tensor_shape_len == 0 or (tensor_shape_len == 1 and tensor_shape[0] == 1):
+            return data != 0
+        const_utils.raise_value_error("The truth value of an array with several elements is ambiguous.")
+    if not F.isconstant(data):
+        return len(data) != 0
+    return cast_to_bool(data)
+
+
+@constexpr
+def cast_to_int(*data):
+    target = data[0]
+    if isinstance(target, Tensor_):
+        target = Tensor(target, internal=True)
+    if len(data) == 1:
+        return int(target)
+    return int(target, data[1])
 
 
 def int_func(*data):
     """Implementation of `int`."""
     data_len = len(data)
-    if data_len >= 2:
+    if data_len >= 3:
-        const_utils.raise_type_error("int() requires 0 or 1 arguments.")
+        const_utils.raise_type_error("int() requires 0, 1 or 2 arguments.")
     if data_len == 0:
         return 0
-    data = data[0]
+    target = data[0]
-    if not F.isconstant(data):
+    if not F.isconstant(target):
         const_utils.raise_type_error("int() does not support non-constant input.")
-    if isinstance(data, (CSRTensor, COOTensor, RowTensor)):
+    if isinstance(target, (CSRTensor, COOTensor, RowTensor)):
         const_utils.raise_type_error("int() does not support sparse tensor input.")
-    return cast_to_int(data)
+    return cast_to_int(*data)
 
 
 @constexpr

tests/st/syntax/test_graph_fallback_python_builtin_tensor.py

@@ -386,3 +386,22 @@ def test_builtin_function_tuple_with_non_constant_tensor():
     assert len(ret) == 2
     assert np.all(ret[0].asnumpy() == np.array([1, 2, 3]))
     assert np.all(ret[1].asnumpy() == np.array([4, 5, 6]))
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.env_onecard
+def test_fallback_bool_with_input_tensor_2():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = Tensor([10])
+        return bool(x)
+
+    assert foo()

tests/ut/python/python_builtin/test_bool.py

@@ -0,0 +1,187 @@
+# Copyright 2022 Huawei Technologies Co., Ltd
+#
+# Licensed 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.
+# ============================================================================
+""" test graph fallback buildin python function bool"""
+import pytest
+import numpy as np
+from mindspore import ms_function, context, Tensor
+
+context.set_context(mode=context.GRAPH_MODE)
+
+
+def test_fallback_bool_with_input_tensor():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo(x):
+        return bool(x)
+    with pytest.raises(ValueError) as ex:
+        foo(Tensor([1, 2, 4]))
+    assert "The truth value of an array with" in str(ex.value)
+
+
+def test_fallback_bool_with_input_tensor_3():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = Tensor([0])
+        return bool(x)
+
+    assert not foo()
+
+
+def test_fallback_bool_with_input_tensor_4():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = Tensor([1, 2, 3])
+        return bool(x)
+
+    with pytest.raises(ValueError) as ex:
+        foo()
+    assert "The truth value of an array with" in str(ex.value)
+
+
+def test_fallback_bool_with_input_scalar():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with scalar input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return bool(10.0)
+
+    assert foo()
+
+
+def test_fallback_bool_with_input_list():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with list input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = [1, 2, 3]
+        return bool(x)
+
+    assert foo()
+
+
+def test_fallback_bool_with_input_list_2():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with list input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo(a):
+        x = [1, 2, 3, a]
+        return bool(x)
+
+    assert foo(Tensor([1, 2, 3]))
+
+
+def test_fallback_bool_with_input_string():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with string input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return bool("test")
+
+    assert foo()
+
+
+def test_fallback_bool_with_input_string_2():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with string input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return bool("")
+
+    assert not foo()
+
+
+def test_fallback_bool_with_input_numpy():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with numpy input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = np.array([1, 2, 3, 4])
+        return bool(x)
+
+    with pytest.raises(ValueError) as ex:
+        foo()
+    assert "The truth value of an array" in str(ex.value)
+
+
+def test_fallback_bool_with_input_numpy_2():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with numpy input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = np.array([1,])
+        return bool(x)
+
+    assert foo()
+
+
+def test_fallback_bool_with_no_input():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with no input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return bool()
+
+    assert not foo()
+
+
+def test_fallback_bool_with_type_input():
+    """
+    Feature: JIT Fallback
+    Description: Test bool() in graph mode with type input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return bool(int)
+
+    assert foo()

tests/ut/python/python_builtin/test_int_float.py

@@ -173,6 +173,26 @@ def test_fallback_int_with_no_input():
     assert ret == 0
 
 
+def test_fallback_int_with_base_input():
+    """
+    Feature: JIT Fallback
+    Description: Test int() in graph mode with string input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x1 = int('12', 16)
+        x2 = int('0xa', 16)
+        x3 = int('10', 8)
+        return x1, x2, x3
+
+    ret = foo()
+    assert len(ret) == 3
+    assert ret[0] == 18
+    assert ret[1] == 10
+    assert ret[2] == 8
+
+
 def test_fallback_float_with_input_tensor():
     """
     Feature: JIT Fallback

tests/ut/python/python_builtin/test_str.py

@@ -0,0 +1,128 @@
+# Copyright 2022 Huawei Technologies Co., Ltd
+#
+# Licensed 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.
+# ============================================================================
+""" test graph fallback buildin python function str"""
+import pytest
+import numpy as np
+from mindspore import ms_function, context, Tensor
+
+context.set_context(mode=context.GRAPH_MODE)
+
+
+def test_fallback_str_with_input_tensor():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo(x):
+        return str(x)
+    with pytest.raises(TypeError) as ex:
+        foo(Tensor([1, 2, 4]))
+    assert "str() does not support non-constant input." in str(ex.value)
+
+
+def test_fallback_str_with_input_tensor_2():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with tensor input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = Tensor([10])
+        return str(x)
+
+    assert foo() == "Tensor(shape=[1], dtype=Int64, value=[10])"
+
+
+def test_fallback_str_with_input_scalar():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with scalar input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return str(10.0)
+
+    assert foo() == "10.0"
+
+
+def test_fallback_str_with_input_list():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with list input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = [1, 2, 3]
+        return str(x)
+
+    assert foo() == "[1, 2, 3]"
+
+
+def test_fallback_str_with_input_string():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with string input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return str("test")
+
+    assert foo() == "test"
+
+
+def test_fallback_str_with_input_numpy():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with numpy input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        x = np.array([1, 2, 3])
+        return str(x)
+
+    assert foo() == "[1 2 3]"
+
+
+def test_fallback_str_with_no_input():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with no input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return str()
+
+    assert foo() == ""
+
+
+def test_fallback_str_with_type_input():
+    """
+    Feature: JIT Fallback
+    Description: Test str() in graph mode with type input.
+    Expectation: No exception.
+    """
+    @ms_function
+    def foo():
+        return str(int)
+
+    assert foo() == "<class 'int'>"