!38638 Support abs(Tensor) in graph mode

Merge pull request !38638 from huangbingjian/fallback_builtin
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i-robot 2022-07-25 06:21:52 +00:00 committed by Gitee
commit acd873e378
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6 changed files with 63 additions and 24 deletions

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@ -106,7 +106,7 @@ _unsupported_internal_type = (
)
_hybrid_type = (
print, len, enumerate, zip, map, filter,
print, len, enumerate, zip, map, filter, abs,
)
# Unsupported python builtin type in JIT Fallback.

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@ -127,6 +127,7 @@ convert_object_map = {
T.not_contains: multitype_ops.not_in_,
# system function
T.abs: M.ms_abs,
T.len: M.ms_len,
T.bool_: M.bool_,
T.map: C.Map(),

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@ -1656,6 +1656,21 @@ def hasnext(it):
return it.__ms_hasnext__()
@constexpr
def constant_abs(x):
"""Returns the absolute value of the constant."""
if x is None:
raise ValueError("For abs(), the parameter should be a constant or Tensor type.")
return abs(x)
def ms_abs(x):
"""Implementation of `abs`."""
if isinstance(x, Tensor):
return abs_(x)
return constant_abs(x)
def ms_len(data):
"""Implementation of `len`."""
return data.__len__()

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@ -28,7 +28,7 @@ from operator import ( # noqa
# support system function call
from builtins import ( # noqa
bool, getattr, setattr, len, iter, next, pow, range, map, zip,
print, enumerate, isinstance, filter
print, enumerate, isinstance, filter, abs
)
# support functools
@ -45,8 +45,8 @@ __all__ = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'mod', 'eq', 'ne', 'lt',
'not_', 'and_', 'or_', 'xor', 'lshift', 'rshift', 'invert', 'is_', 'is_not', 'contains',
'matmul', 'getitem', 'setitem',
'bool', 'getattr', 'setattr', 'len', 'iter', 'next', 'pow', 'range', 'map', 'zip',
'partial', 'print', 'enumerate', 'isinstance',
'exp', 'log', 'sin', 'cos', 'tan', 'filter']
'partial', 'print', 'enumerate', 'isinstance', 'filter', 'abs',
'exp', 'log', 'sin', 'cos', 'tan']
def MakeTuple(*elts): # pragma: no cover

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@ -0,0 +1,41 @@
# 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 python built-in functions in graph mode"""
import pytest
import numpy as np
from mindspore import Tensor, context, nn
context.set_context(mode=context.GRAPH_MODE)
@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_abs_tensor():
"""
Feature: JIT Fallback
Description: Test abs(Tensor) a variable tensor in construct function in graph mode
Expectation: No exception
"""
class TestCell(nn.Cell):
def construct(self, y):
x = Tensor([-1, 2])
return abs(x + y)
test_cell = TestCell()
assert np.all(test_cell(Tensor([-1, 2])).asnumpy() == np.array([2, 4]))

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@ -15,7 +15,6 @@
""" test graph fallback """
import math
import numpy as np
import pytest
from mindspore import ms_function, context, Tensor, nn
@ -76,10 +75,10 @@ def test_fallback_abs_numpy():
@ms_function
def foo():
x = abs(np.array([1, -2, 3]))
x = abs(np.array([1, -2, 3])) + 1
return Tensor(x)
assert np.all(foo().asnumpy() == abs(np.array([-1, 2, -3])))
assert np.all(foo().asnumpy() == abs(np.array([-1, 2, -3]))) + 1
def test_fallback_abs_cell_construct_tensor():
@ -98,23 +97,6 @@ def test_fallback_abs_cell_construct_tensor():
assert np.all(test_cell().asnumpy() == np.array([1, 2]))
@pytest.mark.skip("Not Supported yet not support variable")
def test_fallback_abs_cell_variable_tensor():
"""
Feature: JIT Fallback
Description: Test abs(Tensor) a variable tensor in construct function in graph mode
Expectation: No exception
"""
class TestCell(nn.Cell):
def construct(self, y):
x = Tensor([-1, 2])
return abs(x + y)
test_cell = TestCell()
assert np.all(test_cell(Tensor([-1, 2])).asnumpy() == np.array([2, 4]))
def test_fallback_abs_cell_init_tensor():
"""
Feature: JIT Fallback