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# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Tests for script operations."""
from tensorflow.python.eager import def_function
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import test_util
from tensorflow.python.ops import gen_script_ops
from tensorflow.python.ops import resource_variable_ops
from tensorflow.python.ops import script_ops
from tensorflow.python.ops.script_ops import numpy_function
from tensorflow.python.platform import test
class ArgsAndDecoratorsTest(test.TestCase):
@test_util.run_in_graph_and_eager_modes
def test_decorator(self):
count = 0
@script_ops.numpy_function(Tout=dtypes.int32)
def plus(a, b):
nonlocal count
count += 1
return a + b
actual_result = plus(1, 2)
expect_result = constant_op.constant(3, dtypes.int32)
self.assertAllEqual(actual_result, expect_result)
self.assertEqual(count, 1)
@test_util.run_in_graph_and_eager_modes
def test_inline_decorator(self):
count = 0
def plus(a, b):
nonlocal count
count += 1
return a + b
py_plus = script_ops.eager_py_func(Tout=dtypes.int32)(plus)
actual_result = py_plus(1, 2)
expect_result = constant_op.constant(3, dtypes.int32)
self.assertAllEqual(actual_result, expect_result)
self.assertEqual(count, 1)
def test_bad_args(self):
def minus(a, b):
return a - b
# No Tout
with self.assertRaisesRegex(TypeError, r"Missing.*Tout"):
@script_ops.eager_py_func
def plus1(a, b):
return a + b
# Forgot to set arg-name
with self.assertRaisesRegex(TypeError, r"Missing.*Tout"):
@script_ops.eager_py_func(dtypes.int32)
def plus2(a, b):
return a + b
# inputs in the decoration doesn't make sense
with self.assertRaisesRegex(TypeError, r"Don't.*inp.*decorator"):
@script_ops.eager_py_func(inp=[], Tout=dtypes.int32)
def plus3(a, b):
return a + b
# Forgot to set the function is still a type-error.
with self.assertRaisesRegex(TypeError, r"Don't.*inp.*decorator"):
script_ops.eager_py_func(inp=[], Tout=dtypes.int32)
# Still an error to call without inp
with self.assertRaisesRegex(TypeError, r"Missing.*inp"):
script_ops.eager_py_func(minus, Tout=dtypes.int32)
# Why would you do this?
with self.assertRaisesRegex(TypeError, r"Missing.*inp"):
@script_ops.eager_py_func(func=minus, Tout=dtypes.int32)
def plus4(a, b):
return a + b
def test_decorator_pass_through_extra_args(self):
got_extra = None
def dummy_script_op(func, inp, extra=None, **kwargs):
del kwargs
nonlocal got_extra
got_extra = extra
return func(*inp)
decorator = script_ops._check_args_and_maybe_make_decorator(
dummy_script_op, "dummy", Tout=dtypes.int32, extra="extra"
)
@decorator
def plus(a, b):
return a + b
self.assertIsNone(got_extra)
self.assertEqual(plus(1, 2), 3)
self.assertEqual(got_extra, "extra")
class NumpyFunctionTest(test.TestCase):
@test_util.run_in_graph_and_eager_modes
def test_numpy_arguments(self):
def plus(a, b):
return a + b
actual_result = script_ops.numpy_function(plus, [1, 2], dtypes.int32)
expect_result = constant_op.constant(3, dtypes.int32)
self.assertAllEqual(actual_result, expect_result)
def test_stateless(self):
call_count = 0
def plus(a, b):
nonlocal call_count
call_count += 1
return a + b
@def_function.function
def numpy_func_stateless(a, b):
return numpy_function(plus, [a, b], dtypes.int32, stateful=False)
@def_function.function
def func_stateless(a, b):
sum1 = numpy_func_stateless(a, b)
sum2 = numpy_func_stateless(a, b)
return sum1 + sum2
self.evaluate(func_stateless(
constant_op.constant(1),
constant_op.constant(2),
))
self.assertIn(call_count, (1, 2)) # as stateless, func may be deduplicated
def test_stateful(self):
call_count = 0
def plus(a, b):
nonlocal call_count
call_count += 1
return a + b
@def_function.function
def numpy_func_stateful(a, b):
return numpy_function(plus, [a, b], dtypes.int32, stateful=True)
@def_function.function
def func_stateful(a, b):
sum1 = numpy_func_stateful(a, b)
sum2 = numpy_func_stateful(a, b)
return sum1 + sum2
self.evaluate(func_stateful(
constant_op.constant(1),
constant_op.constant(2),
))
self.assertEqual(call_count,
2) # as stateful, func is guaranteed to execute twice
class PyFunctionTest(test.TestCase):
@test_util.run_in_graph_and_eager_modes
def test_variable_arguments(self):
def plus(a, b):
return a + b
v1 = resource_variable_ops.ResourceVariable(1)
self.evaluate(v1.initializer)
actual_result = script_ops.eager_py_func(plus, [v1, 2], dtypes.int32)
expect_result = constant_op.constant(3, dtypes.int32)
self.assertAllEqual(actual_result, expect_result)
@test_util.run_in_graph_and_eager_modes
def test_fail_on_non_utf8_token(self):
value = constant_op.constant(value=[1, 2])
token = b"\xb0"
data_type = [dtypes.int32]
with self.assertRaises((errors.InternalError, UnicodeDecodeError)):
self.evaluate(
gen_script_ops.py_func(input=[value], token=token, Tout=data_type))
if __name__ == "__main__":
test.main()