experiments/STT-tensorflow
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Fixing linter errors

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This commit is contained in:
Eugene Kuznetsov 2020-03-26 15:42:51 -07:00
parent b64dde60e8
commit 461598528c
6 changed files with 6 additions and 6 deletions
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2
tensorflow/python/kernel_tests/batch_matmul_op_test.py
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@ -263,7 +263,7 @@ class BatchMatMulBenchmark(test.Benchmark):
if __name__ == "__main__": if __name__ == "__main__":
dtypes_to_test = [np.float16, np.float32, np.float64, np.int32, dtypes_to_test = [np.float16, np.float32, np.float64, np.int32,
np.complex64, np.complex128] np.complex64, np.complex128]
for dtype_ in dtypes_to_test: for dtype_ in dtypes_to_test:
for adjoint_a_ in False, True: for adjoint_a_ in False, True:
for adjoint_b_ in False, True: for adjoint_b_ in False, True:

2
tensorflow/python/kernel_tests/eig_op_test.py
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@ -184,7 +184,7 @@ def _GetEigTest(dtype_, shape_, compute_v_):
if __name__ == "__main__": if __name__ == "__main__":
dtypes_to_test = [dtypes_lib.float32, dtypes_lib.float64, dtypes_to_test = [dtypes_lib.float32, dtypes_lib.float64,
dtypes_lib.complex64, dtypes_lib.complex128] dtypes_lib.complex64, dtypes_lib.complex128]
for compute_v in True, False: for compute_v in True, False:
for dtype in dtypes_to_test: for dtype in dtypes_to_test:
for size in 1, 2, 5, 10: for size in 1, 2, 5, 10:

2
tensorflow/python/kernel_tests/linalg/linear_operator_adjoint_test.py
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@ -200,7 +200,7 @@ class LinearOperatorAdjointTest(
def test_solve_adjoint_complex_operator(self): def test_solve_adjoint_complex_operator(self):
if test.is_built_with_rocm(): if test.is_built_with_rocm():
self.skipTest("ROCm does not support BLAS solve operations" self.skipTest("ROCm does not support BLAS solve operations"
" for complex types") " for complex types")
matrix1 = self.evaluate(linear_operator_test_util.random_tril_matrix( matrix1 = self.evaluate(linear_operator_test_util.random_tril_matrix(
[4, 4], dtype=dtypes.complex128, force_well_conditioned=True) + [4, 4], dtype=dtypes.complex128, force_well_conditioned=True) +
1j * linear_operator_test_util.random_tril_matrix( 1j * linear_operator_test_util.random_tril_matrix(

2
tensorflow/python/kernel_tests/matmul_op_test.py
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@ -227,7 +227,7 @@ if __name__ == "__main__":
sizes = [1, 3, 5] sizes = [1, 3, 5]
trans_options = [[False, False], [True, False], [False, True]] trans_options = [[False, False], [True, False], [False, True]]
dtypes_to_test = [np.int32, np.int64, np.float16, np.float32, np.float64, dtypes_to_test = [np.int32, np.int64, np.float16, np.float32, np.float64,
np.complex64, np.complex128] np.complex64, np.complex128]
# TF2 does not support placeholders under eager so we skip it # TF2 does not support placeholders under eager so we skip it
for use_static_shape in set([True, tf2.enabled()]): for use_static_shape in set([True, tf2.enabled()]):
for dtype in dtypes_to_test: for dtype in dtypes_to_test:

2
tensorflow/python/kernel_tests/self_adjoint_eig_op_test.py
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@ -241,7 +241,7 @@ def _GetSelfAdjointEigGradTest(dtype_, shape_, compute_v_):
if __name__ == "__main__": if __name__ == "__main__":
dtypes_to_test = [dtypes_lib.float32, dtypes_lib.float64, dtypes_to_test = [dtypes_lib.float32, dtypes_lib.float64,
dtypes_lib.complex64, dtypes_lib.complex128] dtypes_lib.complex64, dtypes_lib.complex128]
for compute_v in True, False: for compute_v in True, False:
for dtype in dtypes_to_test: for dtype in dtypes_to_test:
for size in 1, 2, 5, 10: for size in 1, 2, 5, 10:

2
tensorflow/python/kernel_tests/tensordot_op_test.py
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@ -222,7 +222,7 @@ def _get_tensordot_tests(dtype_, rank_a_, rank_b_, num_dims_, dynamic_shape_):
if __name__ == "__main__": if __name__ == "__main__":
dtypes_to_test = [np.float16, np.float32, np.float64, dtypes_to_test = [np.float16, np.float32, np.float64,
np.complex64, np.complex128] np.complex64, np.complex128]
for dtype in dtypes_to_test: for dtype in dtypes_to_test:
for rank_a in 1, 2, 4, 5: for rank_a in 1, 2, 4, 5:
for rank_b in 1, 2, 4, 5: for rank_b in 1, 2, 4, 5: