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Fix SyntaxWarnings on Python >= 3.8

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This commit is contained in:
cclauss 2020-06-07 15:56:59 +02:00
parent e39f23b59a
commit b8f57874ba
5 changed files with 7 additions and 9 deletions
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2
tensorflow/python/kernel_tests/matrix_band_part_op_test.py
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@ -56,7 +56,7 @@ def _GetMatrixBandPartTest(dtype_, batch_shape_, shape_):
band_np = np.triu(band_np, -lower)
if upper >= 0:
band_np = np.tril(band_np, upper)
if batch_shape_ is not ():
if batch_shape_ != ():
band_np = np.tile(band_np, batch_shape_ + (1, 1))
for index_dtype in [dtypes_lib.int32, dtypes_lib.int64]:
with self.cached_session(use_gpu=False):

2
tensorflow/python/kernel_tests/matrix_solve_ls_op_test.py
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@ -107,7 +107,7 @@ class MatrixSolveLsOpTest(test_lib.TestCase):
np_ans = _SolveWithNumpy(x, y, l2_regularizer=l2_regularizer)
np_r = np.dot(np.conj(a.T), b - np.dot(a, np_ans))
np_r_norm = np.sqrt(np.sum(np.conj(np_r) * np_r))
if batch_shape is not ():
if batch_shape != ():
a = np.tile(a, batch_shape + (1, 1))
b = np.tile(b, batch_shape + (1, 1))
np_ans = np.tile(np_ans, batch_shape + (1, 1))

3
tensorflow/python/ops/ragged/ragged_batch_gather_with_default_op.py
View File

@ -81,8 +81,7 @@ def batch_gather_with_default(params,
return_dtype=True))
# TODO(hterry): lift this restriction and support default_values of
# of rank > 1
if (default_value.shape.ndims is not 0
and default_value.shape.ndims is not 1):
if default_value.shape.ndims not in (0, 1):
raise ValueError('"default_value" must be a scalar or vector')
upper_bounds = None
if indices.shape.ndims is None:

4
tensorflow/python/ops/random_ops.py
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@ -288,8 +288,8 @@ def random_uniform(shape,
shape = tensor_util.shape_tensor(shape)
# In case of [0,1) floating results, minval and maxval is unused. We do an
# `is` comparison here since this is cheaper than isinstance or __eq__.
minval_is_zero = minval is 0 # pylint: disable=literal-comparison
maxval_is_one = maxval is 1 # pylint: disable=literal-comparison
minval_is_zero = minval == 0
maxval_is_one = maxval == 1
if not minval_is_zero or not maxval_is_one or dtype.is_integer:
minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
maxval = ops.convert_to_tensor(maxval, dtype=dtype, name="max")

5
tensorflow/tools/docs/doc_generator_visitor.py
View File

@ -240,10 +240,9 @@ class DocGeneratorVisitor(object):
# We cannot use the duplicate mechanism for some constants, since e.g.,
# id(c1) == id(c2) with c1=1, c2=1. This is unproblematic since constants
# have no usable docstring and won't be documented automatically.
if (py_object is not None and
if (py_object not in (None, ())
not isinstance(py_object, six.integer_types + six.string_types +
(six.binary_type, six.text_type, float, complex, bool))
and py_object is not ()): # pylint: disable=literal-comparison
(six.binary_type, six.text_type, float, complex, bool))):
object_id = id(py_object)
if object_id in reverse_index:
master_name = reverse_index[object_id]