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Drop unused imports from caffe2/python
Summary: From ``` ./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/ ``` Test Plan: Standard sandcastle tests Differential Revision: D25727359 fbshipit-source-id: 1107492aa1fc2e4e69d659da40625f097af25f64
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Lines changed: 37 additions & 155 deletions

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‎caffe2/python/_import_c_extension.py‎

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import sys
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from caffe2.python import extension_loader
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# NOTE: we have to import python protobuf here **before** we load cpp extension.
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# Otherwise it breaks under certain build conditions if cpp implementation of
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# protobuf is used. Presumably there's some registry in protobuf library and
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# python side has to initialize the dictionary first, before static
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# initialization in python extension does so. Otherwise, duplicated protobuf
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# descriptors will be created and it can lead to obscure errors like
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# "Parameter to MergeFrom() must be instance of same class:
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# expected caffe2.NetDef got caffe2.NetDef."
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import caffe2.proto
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# We will first try to load the gpu-enabled caffe2. If it fails, we will then
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# attempt to load the cpu version. The cpu backend is the minimum required, so
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# if that still fails, we will exit loud.

‎caffe2/python/benchmarks/sparse_lengths_sum_nbit_benchmark.py‎

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import hypothesis.strategies as st
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import numpy as np
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from caffe2.python import core, dyndep, workspace
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from caffe2.python import core, workspace
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def benchmark_sparse_lengths_sum(

‎caffe2/python/convert.py‎

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from caffe2.proto import caffe2_pb2, torch_pb2
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import caffe2.python._import_c_extension as C

‎caffe2/python/convert_test.py‎

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from caffe2.python import convert, workspace
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from caffe2.proto import caffe2_pb2, torch_pb2
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from caffe2.python import workspace
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import unittest
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import numpy as np
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class TestOperator(unittest.TestCase):
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def setUp(self):

‎caffe2/python/core_gradients_test.py‎

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from future.utils import bytes_to_native_str
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from hypothesis import given, settings
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import hypothesis.strategies as st
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import unittest

‎caffe2/python/dataio_test.py‎

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from caffe2.python.dataio import (
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CompositeReader,
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CompositeReaderBuilder,
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Reader,
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ReaderBuilder,
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ReaderWithDelay,
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ReaderWithLimit,
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import shutil
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import unittest
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import tempfile
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import time
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def make_source_dataset(ws, size=100, offset=0, name=None):

‎caffe2/python/ideep/conv_op_test.py‎

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import unittest
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import sys
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import hypothesis.strategies as st
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from hypothesis import given, settings
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import numpy as np

‎caffe2/python/ideep/convfusion_op_test.py‎

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import unittest
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import hypothesis.strategies as st
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from hypothesis import given, settings
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import copy
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from hypothesis import given
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import numpy as np
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import math
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from caffe2.proto import caffe2_pb2

‎caffe2/python/ideep/dropout_op_test.py‎

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from hypothesis import given
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import hypothesis.strategies as st
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import numpy as np
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from caffe2.proto import caffe2_pb2
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from caffe2.python import core, workspace
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.ideep_test_util as mu

‎caffe2/python/ideep/order_switch_op_test.py‎

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import caffe2.python.ideep_test_util as mu
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from hypothesis import given, settings
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from caffe2.proto import caffe2_pb2
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from caffe2.python import core, workspace
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