wehub-resource-sync
419 lines
12 KiB
Python
419 lines
12 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import inspect
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import os
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import unittest
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import numpy as np
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import paddle
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from paddle.jit.dy2static import error
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from paddle.jit.dy2static.utils import ENV_ENABLE_CINN_IN_DY2ST
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ENV_ENABLE_CINN_IN_DY2ST.set(False)
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def inner_func():
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paddle.tensor.fill_constant(shape=[1, 2], value=9, dtype="invalid_type")
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return # noqa: PLR1711
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@paddle.jit.to_static(full_graph=True)
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def func_error_in_compile_time(x):
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x = paddle.to_tensor(x)
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inner_func()
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if paddle.mean(x) < 0:
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x_v = x - 1
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else:
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x_v = x + 1
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return x_v
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@paddle.jit.to_static(full_graph=True)
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def func_error_in_compile_time_2(x):
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x = paddle.to_tensor(x)
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x = paddle.reshape(x, shape=[1, 2])
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return x
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@paddle.jit.to_static(full_graph=True)
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def func_error_in_runtime(x):
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x = paddle.to_tensor(x)
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two = paddle.tensor.fill_constant(shape=[1], value=2, dtype="int32")
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x = paddle.reshape(x, shape=[1, two])
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return x
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@inspect.unwrap
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@paddle.jit.to_static(full_graph=True)
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def func_decorated_by_other_1():
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return 1
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@paddle.jit.to_static(full_graph=True)
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@inspect.unwrap
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def func_decorated_by_other_2():
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return 1
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class LayerErrorInCompiletime2(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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@paddle.jit.to_static(full_graph=True)
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def forward(self):
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self.test_func()
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def test_func(self):
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"""
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NOTE: The next line has a tab. And this test to check the IndentationError when spaces and tabs are mixed.
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A tab here.
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""" # fmt: skip
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return
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@paddle.jit.to_static(full_graph=True)
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def func_error_in_runtime_with_empty_line(x):
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x = paddle.to_tensor(x)
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two = paddle.tensor.fill_constant(shape=[1], value=2, dtype="int32")
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x = paddle.reshape(x, shape=[1, two])
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return x
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class SuggestionErrorTestNet(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.inner_net = SuggestionErrorTestNet2()
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@paddle.jit.to_static(full_graph=True)
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def forward(self, x):
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return self.inner_net.forward(x)
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class SuggestionErrorTestNet2:
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def __init__(self):
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super().__init__()
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self.w = paddle.to_tensor([2.0])
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def forward(self, x):
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out = paddle.matmul(self.w, x)
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return out
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def func_suggestion_error_in_runtime(x):
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net = SuggestionErrorTestNet()
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net(x)
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class TestFlags(unittest.TestCase):
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def setUp(self):
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self.reset_flags_to_default()
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def reset_flags_to_default(self):
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# Reset flags to use default value
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# 1. A flag to set whether to open the dygraph2static error reporting module
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os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
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error.DEFAULT_DISABLE_NEW_ERROR
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)
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disable_error = int(os.getenv(error.DISABLE_ERROR_ENV_NAME, 999))
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self.assertEqual(disable_error, 0)
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# 2. A flag to set whether to display the simplified error stack
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os.environ[error.SIMPLIFY_ERROR_ENV_NAME] = str(
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error.DEFAULT_SIMPLIFY_NEW_ERROR
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)
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simplify_error = int(os.getenv(error.SIMPLIFY_ERROR_ENV_NAME, 999))
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self.assertEqual(simplify_error, 1)
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def _test_set_flag(self, flag_name, set_value):
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os.environ[flag_name] = str(set_value)
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new_value = int(os.getenv(error.DISABLE_ERROR_ENV_NAME, 999))
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self.assertEqual(new_value, set_value)
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def test_translator_disable_new_error(self):
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self._test_set_flag(error.DISABLE_ERROR_ENV_NAME, 1)
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def test_translator_simplify_new_error(self):
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self._test_set_flag(error.SIMPLIFY_ERROR_ENV_NAME, 0)
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class TestErrorBase(unittest.TestCase):
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def setUp(self):
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self.set_input()
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self.set_func()
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self.set_func_call()
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self.filepath = inspect.getfile(inspect.unwrap(self.func_call))
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self.set_exception_type()
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self.set_message()
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def set_input(self):
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self.input = np.ones([3, 2])
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def set_func(self):
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raise NotImplementedError("Error test should implement set_func")
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def set_func_call(self):
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raise NotImplementedError("Error test should implement set_func_call")
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def set_exception_type(self):
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raise NotImplementedError(
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"Error test should implement set_exception_type"
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)
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def set_message(self):
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raise NotImplementedError("Error test should implement set_message")
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def reset_flags_to_default(self):
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os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
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error.DEFAULT_DISABLE_NEW_ERROR
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)
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os.environ[error.SIMPLIFY_ERROR_ENV_NAME] = str(
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error.DEFAULT_SIMPLIFY_NEW_ERROR
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)
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def disable_new_error(self):
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os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
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1 - error.DEFAULT_DISABLE_NEW_ERROR
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)
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def _test_new_error_message(self, new_exception, disable_new_error=0):
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error_message = str(new_exception)
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if disable_new_error:
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# If disable new error, 'In user code:' should not in error_message.
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self.assertNotIn('In transformed code:', error_message)
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else:
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# 1. 'In user code:' must be in error_message because it indicates that
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# this is an optimized error message
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self.assertIn('In transformed code:', error_message)
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# 2. Check whether the converted static graph code is mapped to the dygraph code.
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for m in self.expected_message:
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self.assertIn(m, error_message)
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def _test_raise_new_exception(self, disable_new_error=0):
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paddle.disable_static()
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if disable_new_error:
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self.disable_new_error()
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else:
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self.reset_flags_to_default()
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# 1. Check whether the new exception type is the same as the old one
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with self.assertRaises(self.exception_type) as new_cm:
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self.func_call()
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new_exception = new_cm.exception
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# 2. Check whether the new_exception is attached ErrorData to indicate that this is a new exception
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error_data = getattr(new_exception, error.ERROR_DATA, None)
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self.assertIsInstance(error_data, error.ErrorData)
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# 3. Check whether the error message is optimized
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self._test_new_error_message(new_exception, disable_new_error)
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# Situation 1: Call StaticLayer.__call__ to use Dynamic-to-Static
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class TestErrorStaticLayerCallInCompiletime(TestErrorBase):
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def set_func(self):
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self.func = func_error_in_compile_time
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def set_input(self):
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self.input = np.ones([3, 2])
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def set_exception_type(self):
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self.exception_type = TypeError
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def set_message(self):
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self.expected_message = [
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'inner_func()',
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'def inner_func():',
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'paddle.tensor.fill_constant(shape=[1, 2], value=9, dtype="invalid_type")',
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'<--- HERE',
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'return',
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]
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def set_func_call(self):
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# NOTE: self.func(self.input) is the StaticLayer().__call__(self.input)
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self.func_call = lambda: self.func(self.input)
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def test_error(self):
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for disable_new_error in [0, 1]:
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self._test_raise_new_exception(disable_new_error)
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class TestErrorStaticLayerCallInCompiletime_2(
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TestErrorStaticLayerCallInCompiletime
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):
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def set_func(self):
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self.func = func_error_in_compile_time_2
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def set_exception_type(self):
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self.exception_type = ValueError
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def set_message(self):
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self.expected_message = [
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'def func_error_in_compile_time_2(x):',
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'x = paddle.to_tensor(x)',
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'x = paddle.reshape(x, shape=[1, 2])',
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'<--- HERE',
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'return x',
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]
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class TestErrorStaticLayerCallInCompiletime_3(
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TestErrorStaticLayerCallInCompiletime
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):
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def setUp(self):
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self.reset_flags_to_default()
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self.set_func_call()
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self.filepath = inspect.getfile(inspect.unwrap(self.func_call))
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self.set_exception_type()
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self.set_message()
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def set_exception_type(self):
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self.exception_type = IndentationError
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def set_message(self):
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self.expected_message = [
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'@paddle.jit.to_static',
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'def forward(self):',
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'self.test_func()',
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'<--- HERE',
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]
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def set_func_call(self):
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layer = LayerErrorInCompiletime2()
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self.func_call = lambda: layer()
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def test_error(self):
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self._test_raise_new_exception()
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class TestErrorStaticLayerCallInRuntime(TestErrorStaticLayerCallInCompiletime):
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def set_func(self):
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self.func = func_error_in_runtime
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def set_exception_type(self):
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self.exception_type = ValueError
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def set_message(self):
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self.expected_message = [
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'x = paddle.to_tensor(x)',
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'two = paddle.tensor.fill_constant(shape=[1], value=2, dtype="int32")',
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'x = paddle.reshape(x, shape=[1, two])',
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'<--- HERE',
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'return x',
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]
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class TestErrorStaticLayerCallInRuntime2(TestErrorStaticLayerCallInRuntime):
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def set_func(self):
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self.func = func_error_in_runtime_with_empty_line
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def set_message(self):
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self.expected_message = [
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'two = paddle.tensor.fill_constant(shape=[1], value=2, dtype="int32")',
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'x = paddle.reshape(x, shape=[1, two])',
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'<--- HERE',
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'return x',
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]
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@paddle.jit.to_static(full_graph=True)
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def func_ker_error(x):
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d = {'x': x}
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y = d['y'] + x
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return y
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class TestKeyError(unittest.TestCase):
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def test_key_error(self):
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paddle.disable_static()
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with self.assertRaises(error.Dy2StKeyError):
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x = paddle.to_tensor([1])
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func_ker_error(x)
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@paddle.jit.to_static(full_graph=True)
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def NpApiErr():
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a = paddle.to_tensor([1, 2])
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b = np.count_nonzero(a.numpy())
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print(b)
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class TestNumpyApiErr(unittest.TestCase):
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def test_numpy_api_err(self):
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with self.assertRaises(TypeError) as e:
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NpApiErr()
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new_exception = e.exception
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error_data = getattr(new_exception, error.ERROR_DATA, None)
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self.assertIsInstance(error_data, error.ErrorData)
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error_message = str(new_exception)
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self.assertIn(
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"values will be changed to variables by dy2static, numpy api can not handle variables",
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error_message,
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)
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class test_set_state_dict_err_layer(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.linear = paddle.nn.Linear(5, 2)
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@paddle.jit.to_static(full_graph=True)
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def forward(self, x):
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old_dict = self.state_dict()
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wgt = old_dict['linear.weight']
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drop_w = paddle.nn.functional.dropout(wgt)
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old_dict['linear.weight'] = drop_w
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# old_dict['linear.weight'][0][0] = 0.01
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self.set_state_dict(old_dict)
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y = self.linear(x)
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return y
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class TestSetStateDictErr(unittest.TestCase):
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def test_set_state_dict_err(self):
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with self.assertRaises(ValueError) as e:
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layer = test_set_state_dict_err_layer()
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x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0, 5.0])
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y = layer(x)
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new_exception = e.exception
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error_data = getattr(new_exception, error.ERROR_DATA, None)
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self.assertIsInstance(error_data, error.ErrorData)
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error_message = str(new_exception)
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self.assertIn(
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"This error might happens in dy2static, while calling 'set_state_dict' dynamically in 'forward', which is not supported. If you only need call 'set_state_dict' once, move it to '__init__'.",
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error_message,
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)
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if __name__ == '__main__':
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unittest.main()
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