未验证 提交 512cb296 编写于 作者: N Nyakku Shigure 提交者: GitHub

[CodeStyle][black] format dy2static unittests (#47268)

* [CodeStyle][black] format dy2static unittests

* format some missing files

* update lineno in test_origin_info

* update lineno in test_error

* update lineno
上级 cc753aa4
......@@ -33,12 +33,6 @@ repos:
hooks:
- id: black
files: (.*\.(py|pyi|bzl)|BUILD|.*\.BUILD|WORKSPACE)$
# Temporary exclude, will be formatted in a separate PR
exclude: |
(?x)^(
python/paddle/fluid/tests/unittests/dygraph_to_static/test_error.py|
python/paddle/fluid/tests/unittests/dygraph_to_static/test_origin_info.py
)$
- repo: https://github.com/PyCQA/flake8
rev: 4.0.1
hooks:
......
......@@ -22,17 +22,18 @@ import os
def parse_args():
parser = argparse.ArgumentParser("conda build for paddlepaddle version")
parser.add_argument("--paddle_version",
parser.add_argument(
"--paddle_version",
type=str,
required=True,
help="paddle version for conda build.")
help="paddle version for conda build.",
)
args = parser.parse_args()
return args
class ConstantVar:
def __init__(self):
self.build = r"""
build:
......@@ -96,7 +97,10 @@ about:
self.python39 = r" - python>=3.9, <3.10"
self.python_version = [
self.python36, self.python37, self.python38, self.python39
self.python36,
self.python37,
self.python38,
self.python39,
]
self.cuda101 = r"""
......@@ -112,9 +116,11 @@ about:
- cudnn>=8.1, <8.2
"""
self.cuda_info = [(self.cuda101, "cuda10.1", ".post101"),
self.cuda_info = [
(self.cuda101, "cuda10.1", ".post101"),
(self.cuda102, "cuda10.2", ""),
(self.cuda112, "cuda11.2", ".post112")]
(self.cuda112, "cuda11.2", ".post112"),
]
self.py_str = ["py36", "py37", "py38", "py39"]
self.pip_end = ".whl --no-deps"
self.pip_prefix_linux = "pip install /package/paddlepaddle"
......@@ -122,25 +128,36 @@ about:
self.pip_gpu = "_gpu-"
self.pip_cpu = "-"
self.mac_pip = [
"-cp36-cp36m-macosx_10_6_intel", "-cp37-cp37m-macosx_10_6_intel",
"-cp38-cp38-macosx_10_14_x86_64", "-cp39-cp39-macosx_10_14_x86_64"
"-cp36-cp36m-macosx_10_6_intel",
"-cp37-cp37m-macosx_10_6_intel",
"-cp38-cp38-macosx_10_14_x86_64",
"-cp39-cp39-macosx_10_14_x86_64",
]
self.linux_pip = [
"-cp36-cp36m-linux_x86_64", "-cp37-cp37m-linux_x86_64",
"-cp38-cp38-linux_x86_64", "-cp39-cp39-linux_x86_64"
"-cp36-cp36m-linux_x86_64",
"-cp37-cp37m-linux_x86_64",
"-cp38-cp38-linux_x86_64",
"-cp39-cp39-linux_x86_64",
]
self.windows_pip = [
"-cp36-cp36m-win_amd64", "-cp37-cp37m-win_amd64",
"-cp38-cp38-win_amd64", "-cp39-cp39-win_amd64"
"-cp36-cp36m-win_amd64",
"-cp37-cp37m-win_amd64",
"-cp38-cp38-win_amd64",
"-cp39-cp39-win_amd64",
]
def meta_build_mac(var, python_str, paddle_version, build_var, build_name_str):
package_str = """
package_str = (
"""
package:
name: paddlepaddle
version: """ + paddle_version
requirement = var.requirement_build + python_str + var.requirement_run + python_str
version: """
+ paddle_version
)
requirement = (
var.requirement_build + python_str + var.requirement_run + python_str
)
meta_build = var.build + build_name_str
meta_str = package_str + meta_build + requirement + var.test + var.about
build_str = var.build_const + build_var
......@@ -153,23 +170,28 @@ package:
f.write(build_str)
def meta_build_linux(var,
python_str,
paddle_version,
build_var,
build_name_str,
cuda_str=None):
def meta_build_linux(
var, python_str, paddle_version, build_var, build_name_str, cuda_str=None
):
if cuda_str == None:
package_str = """
package_str = (
"""
package:
name: paddlepaddle
version: """ + paddle_version
version: """
+ paddle_version
)
else:
package_str = """
package_str = (
"""
package:
name: paddlepaddle-gpu
version: """ + paddle_version
requirement = var.requirement_build + python_str + var.requirement_run + python_str
version: """
+ paddle_version
)
requirement = (
var.requirement_build + python_str + var.requirement_run + python_str
)
meta_build = var.build + build_name_str
meta_str = package_str + meta_build + requirement
if not (cuda_str == None):
......@@ -186,24 +208,32 @@ package:
f.write(build_str)
def meta_build_windows(var,
python_str,
paddle_version,
blt_var,
build_name_str,
cuda_str=None):
def meta_build_windows(
var, python_str, paddle_version, blt_var, build_name_str, cuda_str=None
):
if cuda_str == None:
package_str = """
package_str = (
"""
package:
name: paddlepaddle
version: """ + paddle_version
version: """
+ paddle_version
)
else:
package_str = """
package_str = (
"""
package:
name: paddlepaddle-gpu
version: """ + paddle_version
requirement = var.requirement_build + python_str + var.requirement_run_windows + python_str
version: """
+ paddle_version
)
requirement = (
var.requirement_build
+ python_str
+ var.requirement_run_windows
+ python_str
)
meta_build = var.build + build_name_str
meta_str = package_str + meta_build + requirement
......@@ -223,12 +253,17 @@ package:
def conda_build(paddle_version, var):
sysstr = platform.system()
if (sysstr == "Windows"):
if sysstr == "Windows":
os.system("mkdir paddle")
os.chdir(r"./paddle")
for i in range(len(var.python_version)):
blt_var = var.pip_prefix_windows + var.pip_cpu + paddle_version + var.windows_pip[
i] + var.pip_end
blt_var = (
var.pip_prefix_windows
+ var.pip_cpu
+ paddle_version
+ var.windows_pip[i]
+ var.pip_end
)
name = var.py_str[i] + "_cpu_windows"
python_str = var.python_version[i]
meta_build_windows(var, python_str, paddle_version, blt_var, name)
......@@ -237,21 +272,38 @@ def conda_build(paddle_version, var):
for i in range(len(var.python_version)):
for cuda_str in var.cuda_info:
post = cuda_str[2]
blt_var = var.pip_prefix_windows + var.pip_gpu + paddle_version + post + var.windows_pip[
i] + var.pip_end
blt_var = (
var.pip_prefix_windows
+ var.pip_gpu
+ paddle_version
+ post
+ var.windows_pip[i]
+ var.pip_end
)
name = var.py_str[i] + "_gpu_" + cuda_str[1] + "_windows"
cuda_cudnn_str = cuda_str[0]
python_str = var.python_version[i]
meta_build_windows(var, python_str, paddle_version, blt_var,
name, cuda_cudnn_str)
meta_build_windows(
var,
python_str,
paddle_version,
blt_var,
name,
cuda_cudnn_str,
)
os.system("conda build .")
elif (sysstr == "Linux"):
elif sysstr == "Linux":
os.system("mkdir paddle")
os.chdir(r"./paddle")
for i in range(len(var.python_version)):
build_var = var.pip_prefix_linux + var.pip_cpu + paddle_version + var.linux_pip[
i] + var.pip_end
build_var = (
var.pip_prefix_linux
+ var.pip_cpu
+ paddle_version
+ var.linux_pip[i]
+ var.pip_end
)
name = var.py_str[i] + "_cpu_many_linux"
python_str = var.python_version[i]
meta_build_linux(var, python_str, paddle_version, build_var, name)
......@@ -260,23 +312,40 @@ def conda_build(paddle_version, var):
for i in range(len(var.python_version)):
for cuda_str in var.cuda_info:
post = cuda_str[2]
build_var = var.pip_prefix_linux + var.pip_gpu + paddle_version + post + var.linux_pip[
i] + var.pip_end
build_var = (
var.pip_prefix_linux
+ var.pip_gpu
+ paddle_version
+ post
+ var.linux_pip[i]
+ var.pip_end
)
name = var.py_str[i] + "_gpu_" + cuda_str[1] + "_many_linux"
cuda_cudnn_str = cuda_str[0]
python_str = var.python_version[i]
meta_build_linux(var, python_str, paddle_version, build_var,
name, cuda_cudnn_str)
meta_build_linux(
var,
python_str,
paddle_version,
build_var,
name,
cuda_cudnn_str,
)
os.system("conda build .")
os.system("cd ..")
elif (sysstr == "Darwin"):
elif sysstr == "Darwin":
os.system("mkdir paddle")
os.chdir(r"./paddle")
for i in range(len(var.python_version)):
build_var = var.pip_prefix_linux + var.pip_cpu + paddle_version + var.mac_pip[
i] + var.pip_end
build_var = (
var.pip_prefix_linux
+ var.pip_cpu
+ paddle_version
+ var.mac_pip[i]
+ var.pip_end
)
name = var.py_str[i] + "_mac"
python_str = var.python_version[i]
meta_build_mac(var, python_str, paddle_version, build_var, name)
......
......@@ -20,16 +20,17 @@ from model_zoo import resnet_model
class TestBuildCINNPass(DistPassTestBase):
def init(self):
self.atol = 0.5
self.rtol = 0.0
def apply_passes(self, main_prog, startup_prog):
pass_manager = PassManager([
pass_manager = PassManager(
[
new_pass("build_cinn"),
new_pass("fuse_elewise_add_act"),
])
]
)
pass_manager.apply([main_prog], [startup_prog])
print(pass_manager.names)
......
......@@ -20,16 +20,17 @@ from model_zoo import simple_net
class TestBuildCINNPass(DistPassTestBase):
def init(self):
self.atol = 0.0
self.rtol = 0.0
def apply_passes(self, main_prog, startup_prog):
pass_manager = PassManager([
pass_manager = PassManager(
[
new_pass("build_cinn"),
new_pass("fuse_elewise_add_act"),
])
]
)
pass_manager.apply([main_prog], [startup_prog])
op_types = [op.type for op in main_prog.global_block().ops]
self.assertTrue('cinn_launch' in op_types)
......
......@@ -23,7 +23,6 @@ program_translator = ProgramTranslator()
class TestResnetWithPass(unittest.TestCase):
def setUp(self):
self.build_strategy = paddle.static.BuildStrategy()
self.build_strategy.fuse_elewise_add_act_ops = True
......@@ -48,19 +47,24 @@ class TestResnetWithPass(unittest.TestCase):
dy_pre,
st_pre,
rtol=1e-05,
err_msg='dy_pre:\n {}\n, st_pre: \n{}.'.format(dy_pre, st_pre))
err_msg='dy_pre:\n {}\n, st_pre: \n{}.'.format(dy_pre, st_pre),
)
np.testing.assert_allclose(
dy_jit_pre,
st_pre,
rtol=1e-05,
err_msg='dy_jit_pre:\n {}\n, st_pre: \n{}.'.format(
dy_jit_pre, st_pre))
dy_jit_pre, st_pre
),
)
np.testing.assert_allclose(
predictor_pre,
st_pre,
rtol=1e-05,
err_msg='predictor_pre:\n {}\n, st_pre: \n{}.'.format(
predictor_pre, st_pre))
predictor_pre, st_pre
),
)
def test_resnet(self):
static_loss = self.train(to_static=True)
......@@ -70,7 +74,9 @@ class TestResnetWithPass(unittest.TestCase):
dygraph_loss,
rtol=1e-05,
err_msg='static_loss: {} \n dygraph_loss: {}'.format(
static_loss, dygraph_loss))
static_loss, dygraph_loss
),
)
self.verify_predict()
def test_in_static_mode_mkldnn(self):
......@@ -83,9 +89,7 @@ class TestResnetWithPass(unittest.TestCase):
class TestError(unittest.TestCase):
def test_type_error(self):
def foo(x):
out = x + 1
return out
......
......@@ -66,13 +66,13 @@ def func_decorated_by_other_2():
class LayerErrorInCompiletime(fluid.dygraph.Layer):
def __init__(self, fc_size=20):
super(LayerErrorInCompiletime, self).__init__()
self._linear = fluid.dygraph.Linear(fc_size, fc_size)
@paddle.jit.to_static(
input_spec=[paddle.static.InputSpec(shape=[20, 20], dtype='float32')])
input_spec=[paddle.static.InputSpec(shape=[20, 20], dtype='float32')]
)
def forward(self, x):
y = self._linear(x)
z = fluid.layers.fill_constant(shape=[1, 2], value=9, dtype="int")
......@@ -81,7 +81,6 @@ class LayerErrorInCompiletime(fluid.dygraph.Layer):
class LayerErrorInCompiletime2(fluid.dygraph.Layer):
def __init__(self):
super(LayerErrorInCompiletime2, self).__init__()
......@@ -93,7 +92,7 @@ class LayerErrorInCompiletime2(fluid.dygraph.Layer):
"""
NOTE: The next line has a tab. And this test to check the IndentationError when spaces and tabs are mixed.
A tab here.
"""
""" # fmt: skip
return
......@@ -108,7 +107,6 @@ def func_error_in_runtime_with_empty_line(x):
class SuggestionErrorTestNet(paddle.nn.Layer):
def __init__(self):
super(SuggestionErrorTestNet, self).__init__()
self.inner_net = SuggestionErrorTestNet2()
......@@ -118,11 +116,10 @@ class SuggestionErrorTestNet(paddle.nn.Layer):
return self.inner_net.forward(x)
class SuggestionErrorTestNet2():
class SuggestionErrorTestNet2:
def __init__(self):
super(SuggestionErrorTestNet2, self).__init__()
self.w = paddle.to_tensor([2.])
self.w = paddle.to_tensor([2.0])
def forward(self, x):
out = paddle.matmul(self.w, x)
......@@ -135,7 +132,6 @@ def func_suggestion_error_in_runtime(x):
class TestFlags(unittest.TestCase):
def setUp(self):
self.reset_flags_to_default()
......@@ -144,13 +140,15 @@ class TestFlags(unittest.TestCase):
# 1. A flag to set whether to open the dygraph2static error reporting module
os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
error.DEFAULT_DISABLE_NEW_ERROR)
error.DEFAULT_DISABLE_NEW_ERROR
)
disable_error = int(os.getenv(error.DISABLE_ERROR_ENV_NAME, 999))
self.assertEqual(disable_error, 0)
# 2. A flag to set whether to display the simplified error stack
os.environ[error.SIMPLIFY_ERROR_ENV_NAME] = str(
error.DEFAULT_SIMPLIFY_NEW_ERROR)
error.DEFAULT_SIMPLIFY_NEW_ERROR
)
simplify_error = int(os.getenv(error.SIMPLIFY_ERROR_ENV_NAME, 999))
self.assertEqual(simplify_error, 1)
......@@ -167,7 +165,6 @@ class TestFlags(unittest.TestCase):
class TestErrorBase(unittest.TestCase):
def setUp(self):
self.set_input()
self.set_func()
......@@ -188,20 +185,24 @@ class TestErrorBase(unittest.TestCase):
def set_exception_type(self):
raise NotImplementedError(
"Error test should implement set_exception_type")
"Error test should implement set_exception_type"
)
def set_message(self):
raise NotImplementedError("Error test should implement set_message")
def reset_flags_to_default(self):
os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
error.DEFAULT_DISABLE_NEW_ERROR)
error.DEFAULT_DISABLE_NEW_ERROR
)
os.environ[error.SIMPLIFY_ERROR_ENV_NAME] = str(
error.DEFAULT_SIMPLIFY_NEW_ERROR)
error.DEFAULT_SIMPLIFY_NEW_ERROR
)
def disable_new_error(self):
os.environ[error.DISABLE_ERROR_ENV_NAME] = str(
1 - error.DEFAULT_DISABLE_NEW_ERROR)
1 - error.DEFAULT_DISABLE_NEW_ERROR
)
def _test_new_error_message(self, new_exception, disable_new_error=0):
error_message = str(new_exception)
......@@ -242,7 +243,6 @@ class TestErrorBase(unittest.TestCase):
# Situation 1: Call StaticLayer.__call__ to use Dynamic-to-Static
class TestErrorStaticLayerCallInCompiletime(TestErrorBase):
def set_func(self):
self.func = func_error_in_compile_time
......@@ -255,7 +255,8 @@ class TestErrorStaticLayerCallInCompiletime(TestErrorBase):
def set_message(self):
self.expected_message = [
'File "{}", line 33, in func_error_in_compile_time'.format(
self.filepath),
self.filepath
),
'inner_func()',
'File "{}", line 26, in inner_func'.format(self.filepath),
'def inner_func():',
......@@ -274,8 +275,8 @@ class TestErrorStaticLayerCallInCompiletime(TestErrorBase):
class TestErrorStaticLayerCallInCompiletime_2(
TestErrorStaticLayerCallInCompiletime):
TestErrorStaticLayerCallInCompiletime
):
def set_func(self):
self.func = func_error_in_compile_time_2
......@@ -285,7 +286,8 @@ class TestErrorStaticLayerCallInCompiletime_2(
def set_message(self):
self.expected_message = [
'File "{}", line 44, in func_error_in_compile_time_2'.format(
self.filepath),
self.filepath
),
'def func_error_in_compile_time_2(x):',
'x = fluid.dygraph.to_variable(x)',
'x = fluid.layers.reshape(x, shape=[1, 2])',
......@@ -295,8 +297,8 @@ class TestErrorStaticLayerCallInCompiletime_2(
class TestErrorStaticLayerCallInCompiletime_3(
TestErrorStaticLayerCallInCompiletime):
TestErrorStaticLayerCallInCompiletime
):
def setUp(self):
self.reset_flags_to_default()
self.set_func_call()
......@@ -309,7 +311,7 @@ class TestErrorStaticLayerCallInCompiletime_3(
def set_message(self):
self.expected_message = [
'File "{}", line 90, in forward'.format(self.filepath),
'File "{}", line 89, in forward'.format(self.filepath),
'@paddle.jit.to_static',
'def forward(self):',
'self.test_func()',
......@@ -325,7 +327,6 @@ class TestErrorStaticLayerCallInCompiletime_3(
class TestErrorStaticLayerCallInRuntime(TestErrorStaticLayerCallInCompiletime):
def set_func(self):
self.func = func_error_in_runtime
......@@ -335,7 +336,8 @@ class TestErrorStaticLayerCallInRuntime(TestErrorStaticLayerCallInCompiletime):
def set_message(self):
self.expected_message = [
'File "{}", line 52, in func_error_in_runtime'.format(
self.filepath),
self.filepath
),
'x = fluid.dygraph.to_variable(x)',
'two = fluid.layers.fill_constant(shape=[1], value=2, dtype="int32")',
'x = fluid.layers.reshape(x, shape=[1, two])',
......@@ -345,14 +347,14 @@ class TestErrorStaticLayerCallInRuntime(TestErrorStaticLayerCallInCompiletime):
class TestErrorStaticLayerCallInRuntime2(TestErrorStaticLayerCallInRuntime):
def set_func(self):
self.func = func_error_in_runtime_with_empty_line
def set_message(self):
self.expected_message = [
'File "{}", line 105, in func_error_in_runtime_with_empty_line'.
format(self.filepath),
'File "{}", line 104, in func_error_in_runtime_with_empty_line'.format(
self.filepath
),
'two = fluid.layers.fill_constant(shape=[1], value=2, dtype="int32")',
'x = fluid.layers.reshape(x, shape=[1, two])',
'<--- HERE',
......@@ -362,29 +364,29 @@ class TestErrorStaticLayerCallInRuntime2(TestErrorStaticLayerCallInRuntime):
# Situation 2: Call ProgramTranslator().get_output(...) to use Dynamic-to-Static
class TestErrorGetOutputInCompiletime(TestErrorStaticLayerCallInCompiletime):
def set_func_call(self):
self.func_call = lambda: self.prog_trans.get_output(
unwrap(self.func), self.input)
unwrap(self.func), self.input
)
class TestErrorGetOutputInCompiletime_2(TestErrorStaticLayerCallInCompiletime_2
):
class TestErrorGetOutputInCompiletime_2(
TestErrorStaticLayerCallInCompiletime_2
):
def set_func_call(self):
self.func_call = lambda: self.prog_trans.get_output(
unwrap(self.func), self.input)
unwrap(self.func), self.input
)
class TestErrorGetOutputInRuntime(TestErrorStaticLayerCallInRuntime):
def set_func_call(self):
self.func_call = lambda: self.prog_trans.get_output(
unwrap(self.func), self.input)
unwrap(self.func), self.input
)
class TestJitSaveInCompiletime(TestErrorBase):
def setUp(self):
self.reset_flags_to_default()
self.set_func_call()
......@@ -409,7 +411,8 @@ class TestJitSaveInCompiletime(TestErrorBase):
def set_func_call(self):
layer = LayerErrorInCompiletime()
self.func_call = lambda: paddle.jit.save(
layer, path="./test_dy2stat_error/model")
layer, path="./test_dy2stat_error/model"
)
def test_error(self):
self._test_raise_new_exception()
......@@ -419,21 +422,20 @@ class TestJitSaveInCompiletime(TestErrorBase):
class TestSuggestionErrorInRuntime(TestErrorBase):
def set_func(self):
self.func = func_suggestion_error_in_runtime
def set_input(self):
self.input = paddle.to_tensor([2.])
self.input = paddle.to_tensor([2.0])
def set_exception_type(self):
self.exception_type = ValueError
def set_message(self):
self.expected_message = [
'File "{}", line 118, in forward'.format(self.filepath),
'File "{}", line 116, in forward'.format(self.filepath),
'return self.inner_net.forward(x)',
'File "{}", line 128, in forward'.format(self.filepath),
'File "{}", line 125, in forward'.format(self.filepath),
'def forward(self, x):',
'out = paddle.matmul(self.w, x)',
'<--- HERE',
......@@ -460,7 +462,6 @@ def func_ker_error(x):
class TestKeyError(unittest.TestCase):
def test_key_error(self):
paddle.disable_static()
with self.assertRaises(error.Dy2StKeyError):
......@@ -476,7 +477,6 @@ def NpApiErr():
class TestNumpyApiErr(unittest.TestCase):
def test_numpy_api_err(self):
with self.assertRaises(TypeError) as e:
NpApiErr()
......@@ -490,11 +490,11 @@ class TestNumpyApiErr(unittest.TestCase):
self.assertIn(
"values will be changed to variables by dy2static, numpy api can not handle variables",
error_message)
error_message,
)
class test_set_state_dict_err_layer(paddle.nn.Layer):
def __init__(self):
super(test_set_state_dict_err_layer, self).__init__()
self.linear = paddle.nn.Linear(5, 2)
......@@ -514,11 +514,10 @@ class test_set_state_dict_err_layer(paddle.nn.Layer):
class TestSetStateDictErr(unittest.TestCase):
def test_set_state_dict_err(self):
with self.assertRaises(ValueError) as e:
layer = test_set_state_dict_err_layer()
x = paddle.to_tensor([1., 2., 3., 4., 5.])
x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0, 5.0])
y = layer(x)
new_exception = e.exception
......@@ -530,7 +529,8 @@ class TestSetStateDictErr(unittest.TestCase):
self.assertIn(
"This error might happens in dy2static, while calling 'set_state_dict' dynamicly in 'forward', which is not supported. If you only need call 'set_state_dict' once, move it to '__init__'.",
error_message)
error_message,
)
if __name__ == '__main__':
......
......@@ -15,8 +15,19 @@
import sys
import unittest
from paddle.fluid.dygraph.dygraph_to_static.ast_transformer import DygraphToStaticAst
from paddle.fluid.dygraph.dygraph_to_static.origin_info import Location, ORIGI_INFO, OriginInfo, attach_origin_info, create_and_update_origin_info_map, gast, inspect, unwrap
from paddle.fluid.dygraph.dygraph_to_static.ast_transformer import (
DygraphToStaticAst,
)
from paddle.fluid.dygraph.dygraph_to_static.origin_info import (
Location,
ORIGI_INFO,
OriginInfo,
attach_origin_info,
create_and_update_origin_info_map,
gast,
inspect,
unwrap,
)
from paddle.fluid.dygraph.dygraph_to_static.utils import ast_to_func
from paddle.fluid.dygraph.jit import declarative
......@@ -27,7 +38,6 @@ def simple_func(x):
def nested_func(x):
def f1(a):
return a
......@@ -47,7 +57,6 @@ def decorated_func2(x):
class TestOriginInfo(unittest.TestCase):
def setUp(self):
self.set_test_func()
self.dygraph_func = unwrap(self.func)
......@@ -55,8 +64,9 @@ class TestOriginInfo(unittest.TestCase):
self.source_code = inspect.getsource(self.dygraph_func)
lines, self.start_lineno = inspect.getsourcelines(self.dygraph_func)
lines = [line.strip("\n") for line in lines]
self.lines = [line for line in lines
if line != ""] # Delete empty lines
self.lines = [
line for line in lines if line != ""
] # Delete empty lines
self.set_static_lineno()
self.set_dygraph_info()
......@@ -77,8 +87,9 @@ class TestOriginInfo(unittest.TestCase):
def set_origin_info_list(self, dygraph_ast):
assert isinstance(dygraph_ast, gast.Module)
self.transformed_node_list = [
dygraph_ast.body[0], dygraph_ast.body[0].body[0],
dygraph_ast.body[0].body[1]
dygraph_ast.body[0],
dygraph_ast.body[0].body[0],
dygraph_ast.body[0].body[1],
]
def _get_OriginInfo_map(self):
......@@ -91,8 +102,9 @@ class TestOriginInfo(unittest.TestCase):
# step3
self.static_func, _ = ast_to_func(transformed_ast, self.dygraph_func)
info_map = create_and_update_origin_info_map(dygraph_ast,
self.static_func)
info_map = create_and_update_origin_info_map(
dygraph_ast, self.static_func
)
return info_map
def test_origin_info_map(self):
......@@ -115,9 +127,12 @@ class TestOriginInfo(unittest.TestCase):
code = self.lines[line_idx]
origin_info = OriginInfo(
Location(self.dygraph_filepath, dy_lineno, dy_col_offset),
self.dy_func_name[i], code)
self.assertEqual(str(origin_info_map[staic_loc.line_location]),
str(origin_info))
self.dy_func_name[i],
code,
)
self.assertEqual(
str(origin_info_map[staic_loc.line_location]), str(origin_info)
)
def test_attach_origin_info(self):
dygraph_ast = gast.parse(self.source_code)
......@@ -144,7 +159,6 @@ class TestOriginInfo(unittest.TestCase):
class TestOriginInfoWithNestedFunc(TestOriginInfo):
def set_test_func(self):
self.func = nested_func
......@@ -154,23 +168,26 @@ class TestOriginInfoWithNestedFunc(TestOriginInfo):
def set_dygraph_info(self):
self.line_num = 5
self.line_index_list = [0, 1, 2, 3, 4]
self.dy_rel_lineno_list = [0, 2, 3, 5, 6]
self.dy_rel_lineno_list = [0, 1, 2, 4, 5]
self.dy_abs_col_offset = [0, 4, 8, 4, 4]
self.dy_func_name = [self.dygraph_func.__name__] + \
["f1"] * 2 + \
[self.dygraph_func.__name__] * 2
self.dy_func_name = (
[self.dygraph_func.__name__]
+ ["f1"] * 2
+ [self.dygraph_func.__name__] * 2
)
def set_origin_info_list(self, dygraph_ast):
assert isinstance(dygraph_ast, gast.Module)
self.transformed_node_list = [
dygraph_ast.body[0], dygraph_ast.body[0].body[0],
dygraph_ast.body[0].body[0].body[0], dygraph_ast.body[0].body[1],
dygraph_ast.body[0].body[2]
dygraph_ast.body[0],
dygraph_ast.body[0].body[0],
dygraph_ast.body[0].body[0].body[0],
dygraph_ast.body[0].body[1],
dygraph_ast.body[0].body[2],
]
class TestOriginInfoWithDecoratedFunc(TestOriginInfo):
def set_test_func(self):
self.func = decorated_func
......@@ -205,7 +222,6 @@ class TestOriginInfoWithDecoratedFunc(TestOriginInfo):
class TestOriginInfoWithDecoratedFunc2(TestOriginInfo):
def set_test_func(self):
self.func = decorated_func2
......
......@@ -19,7 +19,6 @@ from test_eager_deletion_padding_rnn import RNNConfig, PaddingRNNTestBase
class FusionGroupPaddingRNNTest(PaddingRNNTestBase):
def set_customed_config(self):
self.build_strategy.enable_auto_fusion = True
......
......@@ -25,7 +25,6 @@ import tempfile
class TestPassBuilder(unittest.TestCase):
def check_network_convergence(self, use_cuda, build_strategy=None):
os.environ['CPU_NUM'] = str(4)
main = fluid.Program()
......@@ -47,20 +46,22 @@ class TestPassBuilder(unittest.TestCase):
feed_dict = {'image': image, 'label': label}
train_cp = compiler.CompiledProgram(main).with_data_parallel(
loss_name=loss.name, build_strategy=build_strategy)
loss_name=loss.name, build_strategy=build_strategy
)
test_cp = compiler.CompiledProgram(test_program).with_data_parallel(
loss_name=loss.name,
build_strategy=build_strategy,
share_vars_from=train_cp)
share_vars_from=train_cp,
)
for i in range(5):
_ = exe.run(train_cp, fetch_list=[loss.name], feed=feed_dict)
test_loss, = exe.run(test_cp,
fetch_list=[loss.name],
feed=feed_dict)
train_loss, = exe.run(train_cp,
fetch_list=[loss.name],
feed=feed_dict)
(test_loss,) = exe.run(
test_cp, fetch_list=[loss.name], feed=feed_dict
)
(train_loss,) = exe.run(
train_cp, fetch_list=[loss.name], feed=feed_dict
)
avg_test_loss_val = np.array(test_loss).mean()
if math.isnan(float(avg_test_loss_val)):
......@@ -70,32 +71,38 @@ class TestPassBuilder(unittest.TestCase):
if math.isnan(float(avg_train_loss_val)):
sys.exit("got NaN loss, training failed.")
np.testing.assert_allclose(train_loss,
np.testing.assert_allclose(
train_loss,
test_loss,
rtol=1e-05,
atol=1e-08,
err_msg='Train loss: ' +
str(train_loss) + '\n Test loss:' +
str(test_loss))
err_msg='Train loss: '
+ str(train_loss)
+ '\n Test loss:'
+ str(test_loss),
)
def test_parallel_testing_with_new_strategy(self):
build_strategy = fluid.BuildStrategy()
self.assertFalse(build_strategy.fuse_elewise_add_act_ops)
build_strategy.fuse_elewise_add_act_ops = True
#FIXME: currently fuse_elewise_add_act_ops not compatible with below options
# FIXME: currently fuse_elewise_add_act_ops not compatible with below options
build_strategy.enable_inplace = False
build_strategy.memory_optimize = False
pass_builder = build_strategy._finalize_strategy_and_create_passes()
self.assertTrue("fuse_elewise_add_act_pass" in
[p.type() for p in pass_builder.all_passes()])
self.assertTrue(
"fuse_elewise_add_act_pass"
in [p.type() for p in pass_builder.all_passes()]
)
origin_len = len(pass_builder.all_passes())
viz_pass = pass_builder.append_pass("graph_viz_pass")
self.assertEqual(origin_len + 1, len(pass_builder.all_passes()))
pass_builder.insert_pass(len(pass_builder.all_passes()),
"graph_viz_pass")
pass_builder.insert_pass(
len(pass_builder.all_passes()), "graph_viz_pass"
)
self.assertEqual(origin_len + 2, len(pass_builder.all_passes()))
pass_builder.remove_pass(len(pass_builder.all_passes()) - 1)
......@@ -106,7 +113,8 @@ class TestPassBuilder(unittest.TestCase):
self.check_network_convergence(
use_cuda=core.is_compiled_with_cuda(),
build_strategy=build_strategy)
build_strategy=build_strategy,
)
try:
os.stat(graph_viz_path)
except os.error:
......
......@@ -865,18 +865,18 @@ class TestOverlapAddException(unittest.TestCase):
@parameterize(
(TEST_CASE_NAME, 'x', 'n_fft', 'hop_length', 'win_length', 'window', 'center', 'pad_mode', 'normalized', 'onesided'),
[
('test_1d_input', rand_x(1, np.float64, shape=[160000]),
512, None, None, get_window('hann', 512), True, 'reflect', False, True),
('test_2d_input', rand_x(2, np.float64, shape=[1, 160000]),
512, None, None, get_window('hann', 512), True, 'reflect', False, True),
('test_hop_length', rand_x(2, np.float64, shape=[1, 160000]),
512, 255, None, get_window('hann', 512), True, 'reflect', False, True),
('test_win_length', rand_x(2, np.float64, shape=[1, 160000]),
512, 255, 499, get_window('hann', 499), True, 'reflect', False, True),
('test_window', rand_x(2, np.float64, shape=[1, 160000]),
512, None, None, None, True, 'reflect', False, True),
('test_center', rand_x(2, np.float64, shape=[1, 160000]),
512, None, None, None, False, 'reflect', False, True),
('test_1d_input', rand_x(1, np.float64, shape=[160000]), 512,
None, None, get_window('hann', 512), True, 'reflect', False, True),
('test_2d_input', rand_x(2, np.float64, shape=[1, 160000]), 512,
None, None, get_window('hann', 512), True, 'reflect', False, True),
('test_hop_length', rand_x(2, np.float64, shape=[1, 160000]), 512,
255, None, get_window('hann', 512), True, 'reflect', False, True),
('test_win_length', rand_x(2, np.float64, shape=[1, 160000]), 512,
255, 499, get_window('hann', 499), True, 'reflect', False, True),
('test_window', rand_x(2, np.float64, shape=[1, 160000]), 512,
None, None, None, True, 'reflect', False, True),
('test_center', rand_x(2, np.float64, shape=[1, 160000]), 512,
None, None, None, False, 'reflect', False, True),
]) # fmt: skip
class TestStft(unittest.TestCase):
def test_stft(self):
......@@ -917,22 +917,22 @@ class TestStft(unittest.TestCase):
@parameterize(
(TEST_CASE_NAME, 'x', 'n_fft', 'hop_length', 'win_length', 'window', 'center', 'pad_mode', 'normalized', 'onesided', 'expect_exception'),
[
('test_dims', rand_x(1, np.float64, shape=[1, 2, 3]),
512, None, None, None, True, 'reflect', False, True, AssertionError),
('test_hop_length', rand_x(1, np.float64, shape=[16000]),
512, 0, None, None, True, 'reflect', False, True, AssertionError),
('test_nfft1', rand_x(1, np.float64, shape=[16000]),
0, None, None, None, True, 'reflect', False, True, AssertionError),
('test_nfft2', rand_x(1, np.float64, shape=[16000]),
16001, None, None, None, True, 'reflect', False, True, AssertionError),
('test_win_length', rand_x(1, np.float64, shape=[16000]),
512, None, 0, None, True, 'reflect', False, True, AssertionError),
('test_win_length', rand_x(1, np.float64, shape=[16000]),
512, None, 513, None, True, 'reflect', False, True, AssertionError),
('test_pad_mode', rand_x(1, np.float64, shape=[16000]),
512, None, None, None, True, 'nonsense', False, True, AssertionError),
('test_complex_onesided', rand_x(1, np.float64, shape=[16000], complex=True),
512, None, None, None, False, 'reflect', False, True, AssertionError),
('test_dims', rand_x(1, np.float64, shape=[1, 2, 3]), 512,
None, None, None, True, 'reflect', False, True, AssertionError),
('test_hop_length', rand_x(1, np.float64, shape=[16000]), 512,
0, None, None, True, 'reflect', False, True, AssertionError),
('test_nfft1', rand_x(1, np.float64, shape=[16000]), 0,
None, None, None, True, 'reflect', False, True, AssertionError),
('test_nfft2', rand_x(1, np.float64, shape=[16000]), 16001,
None, None, None, True, 'reflect', False, True, AssertionError),
('test_win_length', rand_x(1, np.float64, shape=[16000]), 512,
None, 0, None, True, 'reflect', False, True, AssertionError),
('test_win_length', rand_x(1, np.float64, shape=[16000]), 512,
None, 513, None, True, 'reflect', False, True, AssertionError),
('test_pad_mode', rand_x(1, np.float64, shape=[16000]), 512,
None, None, None, True, 'nonsense', False, True, AssertionError),
('test_complex_onesided', rand_x(1, np.float64, shape=[16000], complex=True), 512,
None, None, None, False, 'reflect', False, True, AssertionError),
]) # fmt: skip
class TestStftException(unittest.TestCase):
def test_stft(self):
......@@ -959,20 +959,20 @@ class TestStftException(unittest.TestCase):
@parameterize(
(TEST_CASE_NAME, 'x', 'n_fft', 'hop_length', 'win_length', 'window', 'center', 'normalized', 'onesided', 'length', 'return_complex'),
[
('test_2d_input', rand_x(2, np.float64, shape=[257, 471], complex=True),
512, None, None, get_window('hann', 512), True, False, True, None, False),
('test_3d_input', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, get_window('hann', 512), True, False, True, None, False),
('test_hop_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, 99, None, get_window('hann', 512), True, False, True, None, False),
('test_win_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, 99, 299, get_window('hann', 299), True, False, True, None, False),
('test_window', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, None, True, False, True, None, False),
('test_center', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, None, False, False, True, None, False),
('test_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, None, False, False, True, 1888, False),
('test_2d_input', rand_x(2, np.float64, shape=[257, 471], complex=True), 512,
None, None, get_window('hann', 512), True, False, True, None, False),
('test_3d_input', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, get_window('hann', 512), True, False, True, None, False),
('test_hop_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
99, None, get_window('hann', 512), True, False, True, None, False),
('test_win_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
99, 299, get_window('hann', 299), True, False, True, None, False),
('test_window', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, None, True, False, True, None, False),
('test_center', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, None, False, False, True, None, False),
('test_length', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, None, False, False, True, 1888, False),
]) # fmt: skip
class TestIstft(unittest.TestCase):
def test_istft(self):
......@@ -1013,30 +1013,30 @@ class TestIstft(unittest.TestCase):
@parameterize(
(TEST_CASE_NAME, 'x', 'n_fft', 'hop_length', 'win_length', 'window', 'center', 'normalized', 'onesided', 'length', 'return_complex', 'expect_exception'),
[
('test_dims', rand_x(4, np.float64, shape=[1, 2, 3, 4], complex=True),
512, None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_n_fft', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
257, None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_hop_length1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, 0, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_hop_length2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, 513, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_win_length1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, 0, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_win_length2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, 513, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_onesided1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
20, None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_onesided2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
256, None, None, None, True, False, False, None, False, AssertionError),
('test_window', rand_x(3, np.float64, shape=[1, 512, 471], complex=True),
512, None, 511, get_window('hann', 512), True, False, False, None, False, AssertionError),
('test_return_complex1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, get_window('hann', 512), True, False, True, None, True, AssertionError),
('test_return_complex2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, None, None, rand_x(1, np.float64, shape=[512], complex=True), True, False, True, None, False, AssertionError),
('test_NOLA', rand_x(3, np.float64, shape=[1, 257, 471], complex=True),
512, 512, None, get_window('hann', 512), True, False, True, None, False, ValueError),
('test_dims', rand_x(4, np.float64, shape=[1, 2, 3, 4], complex=True), 512,
None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_n_fft', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 257,
None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_hop_length1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
0, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_hop_length2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
513, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_win_length1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, 0, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_win_length2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, 513, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_onesided1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 20,
None, None, get_window('hann', 512), True, False, True, None, False, AssertionError),
('test_onesided2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 256,
None, None, None, True, False, False, None, False, AssertionError),
('test_window', rand_x(3, np.float64, shape=[1, 512, 471], complex=True), 512,
None, 511, get_window('hann', 512), True, False, False, None, False, AssertionError),
('test_return_complex1', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, get_window('hann', 512), True, False, True, None, True, AssertionError),
('test_return_complex2', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
None, None, rand_x(1, np.float64, shape=[512], complex=True), True, False, True, None, False, AssertionError),
('test_NOLA', rand_x(3, np.float64, shape=[1, 257, 471], complex=True), 512,
512, None, get_window('hann', 512), True, False, True, None, False, ValueError),
]) # fmt: skip
class TestIstftException(unittest.TestCase):
def test_istft(self):
......
......@@ -26,10 +26,12 @@ def strToSecond(strTime):
def getUsefulBuildTimeFile(filename):
os.system(
"grep -Po -- '-o .*' %s | grep ' elapsed' | grep -P -v '0:00.* elapse' > %s/tools/analysis_build_time"
% (filename, root_path))
% (filename, root_path)
)
os.system(
"grep -v -- '-o .*' %s |grep ' elapse' | grep -P -v '0:00.* elapse' >> %s/tools/analysis_build_time"
% (filename, root_path))
% (filename, root_path)
)
def analysisBuildTime():
......@@ -45,19 +47,24 @@ def analysisBuildTime():
buildFile = line.split(', ')[0].split(' ')[1]
buildTime = line.split(', ')[1].split('elapsed')[0].strip()
secondTime = strToSecond(buildTime)
os.system("echo %s, %s >> %s/tools/tempbuildTime.txt" %
(buildFile, secondTime, root_path))
os.system(
"echo %s, %s >> %s/tools/tempbuildTime.txt"
% (buildFile, secondTime, root_path)
)
else:
buildTime = line.split(', ')[1].split('elapsed')[0].strip()
secondTime = strToSecond(buildTime)
if secondTime > 30:
os.system("echo %s, %s >> %s/tools/tempbuildTime.txt" %
(line, secondTime, root_path))
os.system(
"echo %s, %s >> %s/tools/tempbuildTime.txt"
% (line, secondTime, root_path)
)
except ValueError:
print(line)
os.system(
'sort -n -k 2 -r %s/tools/tempbuildTime.txt > %s/tools/buildTime.txt' %
(root_path, root_path))
'sort -n -k 2 -r %s/tools/tempbuildTime.txt > %s/tools/buildTime.txt'
% (root_path, root_path)
)
analysisBuildTime()
......@@ -18,12 +18,14 @@
def is_manylinux1_compatible():
# Only Linux, and only x86-64 / i686
from distutils.util import get_platform
if get_platform() not in ["linux-x86_64", "linux-i686"]:
return False
# Check for presence of _manylinux module
try:
import _manylinux
return bool(_manylinux.manylinux1_compatible)
except (ImportError, AttributeError):
# Fall through to heuristic check below
......@@ -62,9 +64,10 @@ def have_compatible_glibc(major, minimum_minor):
import sys
if is_manylinux1_compatible():
print("%s is manylinux1 compatible" % (sys.executable, ))
print("%s is manylinux1 compatible" % (sys.executable,))
sys.exit(0)
else:
print("%s is NOT manylinux1 compatible" % (sys.executable, ))
print("%s is NOT manylinux1 compatible" % (sys.executable,))
sys.exit(1)
......@@ -21,22 +21,24 @@ import sys
print("Testing SSL certificate checking for Python:", sys.version)
if (sys.version_info[:2] < (2, 7) or sys.version_info[:2] < (3, 4)):
if sys.version_info[:2] < (2, 7) or sys.version_info[:2] < (3, 4):
print("This version never checks SSL certs; skipping tests")
sys.exit(0)
if sys.version_info[0] >= 3:
from urllib.request import urlopen
EXC = OSError
else:
from urllib import urlopen
EXC = IOError
print("Connecting to %s should work" % (GOOD_SSL, ))
print("Connecting to %s should work" % (GOOD_SSL,))
urlopen(GOOD_SSL)
print("...it did, yay.")
print("Connecting to %s should fail" % (BAD_SSL, ))
print("Connecting to %s should fail" % (BAD_SSL,))
try:
urlopen(BAD_SSL)
# If we get here then we failed:
......
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