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Merged
seanpmorgan merged 3 commits into from
Mar 27, 2019
Merged

CLN: reformat all codes #105

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3b3bffd
CLN: reformat all codes
facaiy Mar 27, 2019
448e103
BUG: fix missing BUILD
facaiy Mar 27, 2019
33d617c
CLN: fix pylint error
facaiy Mar 27, 2019
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4 changes: 2 additions & 2 deletions tensorflow_addons/activations/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -6,11 +6,11 @@ py_library(
name = "activations",
srcs = [
"__init__.py",
"sparsemax.py"
"sparsemax.py",
],
srcs_version = "PY2AND3",
deps = [
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/utils",
],
)

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8 changes: 5 additions & 3 deletions tensorflow_addons/custom_ops/image/BUILD
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Expand Up @@ -2,23 +2,25 @@ licenses(["notice"]) # Apache 2.0

package(default_visibility = ["//visibility:public"])


cc_binary(
name = "_distort_image_ops.so",
srcs = [
"cc/kernels/adjust_hsv_in_yiq_op.cc",
"cc/kernels/adjust_hsv_in_yiq_op.h",
"cc/ops/distort_image_ops.cc",
],
copts = [
"-pthread",
"-std=c++11",
"-D_GLIBCXX_USE_CXX11_ABI=0",
],
linkshared = 1,
deps = [
"@local_config_tf//:libtensorflow_framework",
"@local_config_tf//:tf_header_lib",
],
copts = ["-pthread", "-std=c++11", "-D_GLIBCXX_USE_CXX11_ABI=0"]
)


cc_binary(
name = "_image_ops.so",
srcs = [
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3 changes: 2 additions & 1 deletion tensorflow_addons/custom_ops/image/cc/kernels/image_projective_transform_op.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,8 @@ class ImageProjectiveTransformV2 : public OpKernel {
Interpolation interpolation_;

public:
explicit ImageProjectiveTransformV2(OpKernelConstruction* ctx) : OpKernel(ctx) {
explicit ImageProjectiveTransformV2(OpKernelConstruction* ctx)
: OpKernel(ctx) {
string interpolation_str;
OP_REQUIRES_OK(ctx, ctx->GetAttr("interpolation", &interpolation_str));
if (interpolation_str == "NEAREST") {
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3 changes: 1 addition & 2 deletions tensorflow_addons/custom_ops/seq2seq/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@ licenses(["notice"]) # Apache 2.0

package(default_visibility = ["//visibility:public"])


cc_binary(
name = "_beam_search_ops.so",
srcs = [
Expand All @@ -21,4 +20,4 @@ cc_binary(
"@local_config_tf//:libtensorflow_framework",
"@local_config_tf//:tf_header_lib",
],
)
)
1 change: 0 additions & 1 deletion tensorflow_addons/custom_ops/text/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@ licenses(["notice"]) # Apache 2.0

package(default_visibility = ["//visibility:public"])


cc_binary(
name = "_skip_gram_ops.so",
srcs = [
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5 changes: 2 additions & 3 deletions tensorflow_addons/image/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@ licenses(["notice"]) # Apache 2.0

package(default_visibility = ["//visibility:public"])


py_library(
name = "image",
srcs = ([
Expand All @@ -13,7 +12,7 @@ py_library(
data = [
"//tensorflow_addons/custom_ops/image:_distort_image_ops.so",
"//tensorflow_addons/custom_ops/image:_image_ops.so",
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/utils",
],
srcs_version = "PY2AND3",
)
Expand All @@ -25,10 +24,10 @@ py_test(
"distort_image_ops_test.py",
],
main = "distort_image_ops_test.py",
srcs_version = "PY2AND3",
deps = [
":image",
],
srcs_version = "PY2AND3"
)

# TODO: use cuda_test later.
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14 changes: 7 additions & 7 deletions tensorflow_addons/layers/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -14,8 +14,8 @@ py_library(
],
srcs_version = "PY2AND3",
deps = [
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/activations:activations",
"//tensorflow_addons/activations",
"//tensorflow_addons/utils",
],
)

Expand All @@ -29,7 +29,7 @@ py_test(
srcs_version = "PY2AND3",
deps = [
":layers",
]
],
)

py_test(
Expand All @@ -55,18 +55,18 @@ py_test(
srcs_version = "PY2AND3",
deps = [
":layers",
]
],
)

py_test(
name = "layers_normalizations_test",
size= "small",
size = "small",
srcs = [
"normalizations_test.py",
],
main = "normalizations_test.py",
srcs_version = "PY2AND3",
deps = [
":layers",
]
":layers",
],
)
6 changes: 3 additions & 3 deletions tensorflow_addons/losses/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -14,8 +14,8 @@ py_library(
],
srcs_version = "PY2AND3",
deps = [
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/activations:activations",
"//tensorflow_addons/activations",
"//tensorflow_addons/utils",
],
)

Expand All @@ -39,10 +39,10 @@ py_test(
"sparsemax_loss_test.py",
],
main = "sparsemax_loss_test.py",
srcs_version = "PY2AND3",
deps = [
":losses",
],
srcs_version = "PY2AND3",
)

py_test(
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2 changes: 1 addition & 1 deletion tensorflow_addons/optimizers/BUILD
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Expand Up @@ -10,7 +10,7 @@ py_library(
],
srcs_version = "PY2AND3",
deps = [
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/utils",
],
)

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3 changes: 1 addition & 2 deletions tensorflow_addons/seq2seq/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@ licenses(["notice"]) # Apache 2.0

package(default_visibility = ["//visibility:public"])


py_library(
name = "seq2seq",
srcs = [
Expand All @@ -19,7 +18,7 @@ py_library(
],
srcs_version = "PY2AND3",
deps = [
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/utils",
],
)

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27 changes: 14 additions & 13 deletions tensorflow_addons/seq2seq/attention_wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1389,7 +1389,7 @@ def with_same_shape(old, new):
new_shape = array_ops.shape(new)
old_shape = array_ops.shape(old)
with ops.control_dependencies([
check_ops.assert_equal(
check_ops.assert_equal( # pylint: disable=bad-continuation
new_shape,
old_shape,
data=[new_shape, old_shape])
Expand Down Expand Up @@ -1491,8 +1491,9 @@ def _maybe_mask_score(score,
message = ("All values in memory_sequence_length must greater than "
"zero.")
with ops.control_dependencies([
check_ops.assert_positive(
memory_sequence_length, message=message)
check_ops.assert_positive( # pylint: disable=bad-continuation
memory_sequence_length,
message=message)
]):
memory_mask = array_ops.sequence_mask(
memory_sequence_length, maxlen=array_ops.shape(score)[1])
Expand Down Expand Up @@ -1759,8 +1760,8 @@ def __init__(self,
"initial state via the tf.contrib.seq2seq.tile_batch "
"function with argument multiple=beam_width.")
with ops.control_dependencies(
self._batch_size_checks(state_batch_size,
error_message)):
self._batch_size_checks( # pylint: disable=bad-continuation
state_batch_size, error_message)):
self._initial_cell_state = nest.map_structure(
lambda s: array_ops.identity(
s, name="check_initial_cell_state"),
Expand All @@ -1785,9 +1786,9 @@ def _item_or_tuple(self, seq):
seq: A non-empty sequence of items or generator.

Returns:
Either the values in the sequence as a tuple if
AttentionMechanism(s) were passed to the constructor as a sequence
or the singular element.
Either the values in the sequence as a tuple if
AttentionMechanism(s) were passed to the constructor as a sequence
or the singular element.
"""
t = tuple(seq)
if self._is_multi:
Expand All @@ -1807,8 +1808,8 @@ def state_size(self):
"""The `state_size` property of `AttentionWrapper`.

Returns:
An `AttentionWrapperState` tuple containing shapes used by this
object.
An `AttentionWrapperState` tuple containing shapes used
by this object.
"""
return AttentionWrapperState(
cell_state=self._cell.state_size,
Expand Down Expand Up @@ -1843,7 +1844,7 @@ def zero_state(self, batch_size, dtype):
to the wrapper object at initialization time.
"""
with ops.name_scope(
type(self).__name__ + "ZeroState", values=[batch_size]):
type(self).__name__ + "ZeroState", values=[batch_size]): # pylint: disable=bad-continuation
if self._initial_cell_state is not None:
cell_state = self._initial_cell_state
else:
Expand All @@ -1859,7 +1860,7 @@ def zero_state(self, batch_size, dtype):
"tf.contrib.seq2seq.tile_batch, and the batch_size= argument "
"passed to zero_state is batch_size * beam_width.")
with ops.control_dependencies(
self._batch_size_checks(batch_size, error_message)):
self._batch_size_checks(batch_size, error_message)): # pylint: disable=bad-continuation
cell_state = nest.map_structure(
lambda s: array_ops.identity(s, name="checked_cell_state"),
cell_state)
Expand Down Expand Up @@ -1938,7 +1939,7 @@ def call(self, inputs, state):
"via the tf.contrib.seq2seq.tile_batch function with argument "
"multiple=beam_width.")
with ops.control_dependencies(
self._batch_size_checks(cell_batch_size, error_message)):
self._batch_size_checks(cell_batch_size, error_message)): # pylint: disable=bad-continuation
cell_output = array_ops.identity(
cell_output, name="checked_cell_output")

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4 changes: 2 additions & 2 deletions tensorflow_addons/text/BUILD
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Expand Up @@ -8,11 +8,11 @@ py_library(
"__init__.py",
"skip_gram_ops.py",
]),
srcs_version = "PY2AND3",
data = [
"//tensorflow_addons/custom_ops/text:_skip_gram_ops.so",
"//tensorflow_addons/utils:utils",
"//tensorflow_addons/utils",
],
srcs_version = "PY2AND3",
)

py_test(
Expand Down
2 changes: 1 addition & 1 deletion tools/ci_build/builds/builds_common.sh
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Expand Up @@ -55,7 +55,7 @@ get_changed_files_from_master_branch() {
# Usage: get_bazel_files_to_check [--incremental]
get_bazel_files_to_check() {
if [[ "$1" == "--incremental" ]]; then
get_changed_files_from_master_branch -- 'BUILD' '*.bazel' '*.bzl'
get_changed_files_from_master_branch -- '*BUILD' '*.bazel' '*.bzl'
elif [[ -z "$1" ]]; then
find . -name 'BUILD' -o -name '*.bazel' -o -name '*.bzl'
else
Expand Down