Skip to content

P
Paddle

PaddlePaddle / Paddle
大约 2 年 前同步成功

通知 2325
Star 20933
Fork 5424
P
Paddle
未验证 提交 9fa98349 编写于 作者: I Infinity_lee 提交者： GitHub
浏览文件
操作

[CodeStyle][C405] Unnecessary <list/tuple> literal - rewrite as a set literal (#51972)

上级 7aa7fc49
隐藏空白更改
内联 并排
Showing with 347 addition and 392 deletion
paddle/fluid/eager/auto_code_generator/generator/codegen_utils.py
浏览文件 @ 9fa98349
......@@ -19,57 +19,55 @@ import yaml
####################
# Global Variables #
####################
ops_to_fill_zero_for_empty_grads = set(
[
"split_grad",
"split_with_num_grad",
"rnn_grad",
"matmul_double_grad",
"matmul_triple_grad",
"sigmoid_double_grad",
"sigmoid_triple_grad",
"add_double_grad",
"add_triple_grad",
"multiply_grad",
"multiply_double_grad",
"multiply_triple_grad",
"conv2d_grad_grad",
"conv2d_transpose_double_grad",
"batch_norm_double_grad",
"tanh_grad",
"tanh_double_grad",
"tanh_triple_grad",
"sin_double_grad",
"sin_triple_grad",
"cos_double_grad",
"cos_triple_grad",
"subtract_double_grad",
"divide_double_grad",
"log_double_grad",
"elu_double_grad",
"leaky_relu_double_grad",
"sqrt_double_grad",
"rsqrt_double_grad",
"square_double_grad",
"celu_double_grad",
"pad_double_grad",
"pad3d_double_grad",
"squeeze_double_grad",
"unsqueeze_double_grad",
"instance_norm_double_grad",
"conv3d_double_grad",
"depthwise_conv2d_grad_grad",
"concat_double_grad",
"expand_grad",
"argsort_grad",
"eigh_grad",
"add_grad",
"subtract_grad",
"multiply_grad",
"divide_grad",
"matmul_grad",
]
)
ops_to_fill_zero_for_empty_grads = {
"split_grad",
"split_with_num_grad",
"rnn_grad",
"matmul_double_grad",
"matmul_triple_grad",
"sigmoid_double_grad",
"sigmoid_triple_grad",
"add_double_grad",
"add_triple_grad",
"multiply_grad",
"multiply_double_grad",
"multiply_triple_grad",
"conv2d_grad_grad",
"conv2d_transpose_double_grad",
"batch_norm_double_grad",
"tanh_grad",
"tanh_double_grad",
"tanh_triple_grad",
"sin_double_grad",
"sin_triple_grad",
"cos_double_grad",
"cos_triple_grad",
"subtract_double_grad",
"divide_double_grad",
"log_double_grad",
"elu_double_grad",
"leaky_relu_double_grad",
"sqrt_double_grad",
"rsqrt_double_grad",
"square_double_grad",
"celu_double_grad",
"pad_double_grad",
"pad3d_double_grad",
"squeeze_double_grad",
"unsqueeze_double_grad",
"instance_norm_double_grad",
"conv3d_double_grad",
"depthwise_conv2d_grad_grad",
"concat_double_grad",
"expand_grad",
"argsort_grad",
"eigh_grad",
"add_grad",
"subtract_grad",
"multiply_grad",
"divide_grad",
"matmul_grad",
}
# For API dispatch used at python-level
# { op_name : [arg_name, ...] }
......
paddle/fluid/eager/auto_code_generator/generator/eager_gen.py
浏览文件 @ 9fa98349
......@@ -48,7 +48,7 @@ from codegen_utils import (
# But because there is no check in old dygraph mode, in order to
# keeping the code compatible, here we also skip inplace check in new dygraph temporarily,
# and this will be fixed in the futrue.
inplace_check_blacklist = set(["assign_out_"])
inplace_check_blacklist = {"assign_out_"}
# Black Ops list that's NO NEED to apply code generation
black_ops_list = [
......
paddle/fluid/eager/auto_code_generator/generator/python_c_gen.py
浏览文件 @ 9fa98349
......@@ -26,7 +26,7 @@ from codegen_utils import (
#########################
# Global Configurations #
#########################
skipped_forward_api_names = set([])
skipped_forward_api_names = set()
def SkipAPIGeneration(forward_api_name):
......
pyproject.toml
浏览文件 @ 9fa98349
......@@ -36,6 +36,9 @@ select = [
"C400",
"C401",
"C402",
"C403",
"C404",
"C405",
"C408",
"C409",
"C410",
......
python/paddle/distributed/auto_parallel/converter.py
浏览文件 @ 9fa98349
......@@ -482,7 +482,7 @@ class Converter:
split_indices_list = partition_index
split_indices_list = list(
map(
lambda x, y: list(set(x) - set([y]) - set([0])),
lambda x, y: list(set(x) - {y} - {0}),
split_indices_list,
complete_shape,
)
......
python/paddle/distributed/auto_parallel/tuner/algorithms.py
浏览文件 @ 9fa98349
......@@ -119,7 +119,7 @@ class ShardingStageAlgorithm(AlgorithmBase):
stage_range = self._config.sharding.get("tuning_range", None)
if stage_range:
assert set(stage_range).issubset(
set([0, 1, 2, 3])
{0, 1, 2, 3}
), "Sharding Stage should belong into range within 0 - 3 but got {}.".format(
stage_range
)
......
python/paddle/distributed/auto_parallel/utils.py
浏览文件 @ 9fa98349
......@@ -1172,7 +1172,7 @@ def _get_split_indices(
split_indices_list = partition_index
split_indices_list = list(
map(
lambda x, y: list(set(x) - set([y]) - set([0])),
lambda x, y: list(set(x) - {y} - {0}),
split_indices_list,
complete_shape,
)
......
python/paddle/distributed/fleet/meta_optimizers/parameter_server_optimizer.py
浏览文件 @ 9fa98349
......@@ -303,7 +303,7 @@ class ParameterServerOptimizer(MetaOptimizerBase):
vars_metatools,
)
processed_var_names = set(["@EMPTY@"])
processed_var_names = {"@EMPTY@"}
param_memory_size = 0
for varname in program.global_block().vars:
var = program.global_block().vars[varname]
......
python/paddle/distributed/fleet/meta_optimizers/ps_optimizer.py
浏览文件 @ 9fa98349
......@@ -208,7 +208,7 @@ class ParameterServerOptimizer(MetaOptimizerBase):
return False
free = get_sys_free_mem()
processed_var_names = set(["@EMPTY@"])
processed_var_names = {"@EMPTY@"}
param_memory_size = 0
for varname in program.global_block().vars:
var = program.global_block().vars[varname]
......
python/paddle/distributed/fleet/meta_optimizers/sharding/shard.py
浏览文件 @ 9fa98349
......@@ -27,7 +27,7 @@ class Shard:
def __init__(
self,
):
self.global_params = set([])
self.global_params = set()
self.worker_idx = -1
self.worker_num = -1
self.global_param2device = {}
......@@ -96,8 +96,8 @@ class Shard:
return -1
def find_broadcast_params(self, block):
broadcast_vars = set([])
fp16_params = set([])
broadcast_vars = set()
fp16_params = set()
fp16_to_fp32 = {}
param_usage = {x: 0 for x in self.global_params}
......
python/paddle/distributed/fleet/meta_optimizers/sharding/utils.py
浏览文件 @ 9fa98349
......@@ -981,7 +981,7 @@ def add_sync_comm(program, sharding_ring_id):
assert sharding_ring_id >= 0, "sharding_ring_id should larger than zero"
block = program.global_block()
not_sync_vars = set([])
not_sync_vars = set()
for op in block.ops:
if op.type in ["c_broadcast", "c_allreduce"]:
for input_name in op.desc.input_arg_names():
......
python/paddle/distributed/fleet/meta_optimizers/sharding_optimizer.py
浏览文件 @ 9fa98349
......@@ -78,8 +78,8 @@ class ShardingOptimizer(MetaOptimizerBase):
self._startup_program = None
self._segments = []
# params and fp16 params is for broadcast
self._params = set([])
self._broadcast_vars = set([])
self._params = set()
self._broadcast_vars = set()
# reduced grads to param name
self._reduced_grads_to_param = {}
self._shard = Shard()
......
python/paddle/distributed/passes/auto_parallel_sharding.py
浏览文件 @ 9fa98349
......@@ -1831,8 +1831,8 @@ class ShardingInfo:
# and sharding should only broadcast the casted fp16 param
# instead of the origin fp32 version param.
def get_broadcast_vars_and_param_usage(self, block):
broadcast_vars = set([])
fp16_params = set([])
broadcast_vars = set()
fp16_params = set()
fp16_to_fp32 = {}
param_usage = {x: 0 for x in self.param_names}
......
python/paddle/fluid/tests/unittests/auto_parallel/test_dist_pnorm.py
浏览文件 @ 9fa98349
......@@ -123,21 +123,21 @@ class TestDistPNormDP(TestDistPNorm):
assert op_dist_attr.impl_type == "p_norm"
if op.type in ["p_norm", "p_norm_grad"]:
for input_attr in op_dist_attr.inputs_dist_attrs.values():
assert set(input_attr.dims_mapping) == set([-1])
assert set(input_attr.dims_mapping) == {-1}
for output_attr in op_dist_attr.outputs_dist_attrs.values():
assert set(output_attr.dims_mapping) == set([-1])
assert set(output_attr.dims_mapping) == {-1}
if op.type == 'c_allgather':
for input_attr in op_dist_attr.inputs_dist_attrs.values():
assert input_attr.dims_mapping[0] == 0
assert set(input_attr.dims_mapping[1:]) == set([-1])
assert set(input_attr.dims_mapping[1:]) == {-1}
for output_attr in op_dist_attr.outputs_dist_attrs.values():
assert set(output_attr.dims_mapping) == set([-1])
assert set(output_attr.dims_mapping) == {-1}
if op.type == 'slice':
for input_attr in op_dist_attr.inputs_dist_attrs.values():
assert set(input_attr.dims_mapping) == set([-1])
assert set(input_attr.dims_mapping) == {-1}
for output_attr in op_dist_attr.outputs_dist_attrs.values():
assert output_attr.dims_mapping[0] == 0
assert set(output_attr.dims_mapping[1:]) == set([-1])
assert set(output_attr.dims_mapping[1:]) == {-1}
assert op_types == [
"c_allgather",
"p_norm",
......
python/paddle/fluid/tests/unittests/collective/fleet/hybrid_parallel_sharding_model.py
浏览文件 @ 9fa98349
......@@ -322,39 +322,35 @@ class TestDistMPTraning(unittest.TestCase):
)
def test_sharding_adam(self):
sharded_accumulators = set(
[
'linear_0.w_0_moment1_0',
'linear_1.b_0_moment1_0',
'linear_2.b_0_moment1_0',
'embedding_0.w_0_moment1_0',
'linear_0.w_0_moment2_0',
'linear_1.b_0_moment2_0',
'linear_2.b_0_moment2_0',
'embedding_0.w_0_moment2_0',
'linear_0.w_0_beta1_pow_acc_0',
'linear_1.b_0_beta1_pow_acc_0',
'linear_2.b_0_beta1_pow_acc_0',
'embedding_0.w_0_beta1_pow_acc_0',
'linear_0.w_0_beta2_pow_acc_0',
'linear_1.b_0_beta2_pow_acc_0',
'linear_2.b_0_beta2_pow_acc_0',
'embedding_0.w_0_beta2_pow_acc_0',
]
)
sharded_accumulators = {
'linear_0.w_0_moment1_0',
'linear_1.b_0_moment1_0',
'linear_2.b_0_moment1_0',
'embedding_0.w_0_moment1_0',
'linear_0.w_0_moment2_0',
'linear_1.b_0_moment2_0',
'linear_2.b_0_moment2_0',
'embedding_0.w_0_moment2_0',
'linear_0.w_0_beta1_pow_acc_0',
'linear_1.b_0_beta1_pow_acc_0',
'linear_2.b_0_beta1_pow_acc_0',
'embedding_0.w_0_beta1_pow_acc_0',
'linear_0.w_0_beta2_pow_acc_0',
'linear_1.b_0_beta2_pow_acc_0',
'linear_2.b_0_beta2_pow_acc_0',
'embedding_0.w_0_beta2_pow_acc_0',
}
self.sharding_model(
Optimizer="adam", sharded_accumulators=sharded_accumulators
)
def test_sharding_momentum(self):
sharded_accumulators = set(
[
'linear_6.w_0_velocity_0',
'linear_7.b_0_velocity_0',
'linear_8.b_0_velocity_0',
'embedding_2.w_0_velocity_0',
]
)
sharded_accumulators = {
'linear_6.w_0_velocity_0',
'linear_7.b_0_velocity_0',
'linear_8.b_0_velocity_0',
'embedding_2.w_0_velocity_0',
}
self.sharding_model(
Optimizer="Momentum", sharded_accumulators=sharded_accumulators
)
......
python/paddle/fluid/tests/unittests/collective/fleet/test_fleet_sharding_meta_optimizer.py
浏览文件 @ 9fa98349
......@@ -42,17 +42,15 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertIn('@BroadCast', ''.join(vars))
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
},
)
self.assertEqual(
......@@ -123,20 +121,18 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertIn('check_finite_and_unscale', ops)
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
"loss_scaling_0",
"num_bad_steps_0",
"num_good_steps_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
"loss_scaling_0",
"num_bad_steps_0",
"num_good_steps_0",
},
)
self.assertEqual(
......@@ -232,17 +228,15 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertIn('subprog', ''.join(vars))
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
},
)
self.assertEqual(
......@@ -322,20 +316,18 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
"loss_scaling_0",
"num_bad_steps_0",
"num_good_steps_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
"loss_scaling_0",
"num_bad_steps_0",
"num_good_steps_0",
},
)
self.assertEqual(
ops,
......@@ -448,23 +440,21 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertEqual(
set(parameters),
set(
[
'fc_2.b_0',
'num_good_steps_0',
'fc_2.w_0',
'loss_scaling_0',
'num_bad_steps_0',
'fc_2.w_0_velocity_0',
'fc_2.w_0.asp_mask',
'learning_rate_0',
'fc_1.b_0',
'fc_1.w_0.asp_mask',
'fc_0.w_0.asp_mask',
'fc_1.b_0_velocity_0',
'fc_2.b_0_velocity_0',
]
),
{
'fc_2.b_0',
'num_good_steps_0',
'fc_2.w_0',
'loss_scaling_0',
'num_bad_steps_0',
'fc_2.w_0_velocity_0',
'fc_2.w_0.asp_mask',
'learning_rate_0',
'fc_1.b_0',
'fc_1.w_0.asp_mask',
'fc_0.w_0.asp_mask',
'fc_1.b_0_velocity_0',
'fc_2.b_0_velocity_0',
},
)
self.assertEqual(
ops,
......@@ -563,17 +553,15 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertIn('@BroadCast', ''.join(vars))
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
},
)
self.assertEqual(
......@@ -650,17 +638,15 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
self.assertIn('@BroadCast', ''.join(vars))
self.assertEqual(
set(parameters),
set(
[
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
]
),
{
"fc_1.b_0",
"fc_2.b_0",
"fc_2.w_0",
"fc_1.b_0_velocity_0",
"fc_2.b_0_velocity_0",
"fc_2.w_0_velocity_0",
"learning_rate_0",
},
)
self.assertEqual(
......
python/paddle/fluid/tests/unittests/dygraph_to_static/test_loop.py
浏览文件 @ 9fa98349
......@@ -238,12 +238,12 @@ class TestNameVisitor(unittest.TestCase):
for_loop_dufunc_with_listcomp,
]
self.loop_var_names = [
set(["i", "x"]),
set(["i", "ret", "max_len"]),
set(["i", "x"]),
set(["j", "array", "res", "x"]),
{"i", "x"},
{"i", "ret", "max_len"},
{"i", "x"},
{"j", "array", "res", "x"},
]
self.create_var_names = [set(), set(["ret"]), set(), set(["res", "x"])]
self.create_var_names = [set(), {"ret"}, set(), {"res", "x"}]
self.nested_for_loop_func = nested_for_loop_dyfunc
......@@ -269,11 +269,11 @@ class TestNameVisitor(unittest.TestCase):
name_visitor = NameVisitor(gast_root)
self.loop_var_names = [
set(["j", "two"]),
set(["i", "three", "b"]),
set(["i"]),
{"j", "two"},
{"i", "three", "b"},
{"i"},
]
self.create_var_names = [set(), set(["b"]), set()]
self.create_var_names = [set(), {"b"}, set()]
i = 0
for node in gast.walk(gast_root):
......
python/paddle/fluid/tests/unittests/ir/inference/inference_pass_test.py
浏览文件 @ 9fa98349
......@@ -46,7 +46,7 @@ class InferencePassTest(unittest.TestCase):
random.seed(1)
def _get_place(self):
return set([False, core.is_compiled_with_cuda()])
return {False, core.is_compiled_with_cuda()}
def _save_models(
self, dirname, feeded_var_names, target_vars, executor, program, scope
......
python/paddle/fluid/tests/unittests/ir/test_convert_to_mixed_precision.py
浏览文件 @ 9fa98349
......@@ -53,7 +53,7 @@ class TestConvertToMixedPrecision(unittest.TestCase):
PrecisionType.Bfloat16,
]
keep_io_types_options = [True, False, False, True]
black_list_options = [set(), set(), set(['conv2d']), set()]
black_list_options = [set(), set(), {'conv2d'}, set()]
test_configs = zip(
mixed_precision_options, keep_io_types_options, black_list_options
......
python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_bf16_mkldnn_op.py
浏览文件 @ 9fa98349
......@@ -206,7 +206,7 @@ class TestConv2DWithGradBF16Op(TestConv2DBF16Op):
core.CPUPlace(),
["Input"],
"Output",
set(['Filter']),
{'Filter'},
user_defined_grads=[dx],
user_defined_grad_outputs=[convert_float_to_uint16(dout)],
)
......@@ -222,7 +222,7 @@ class TestConv2DWithGradBF16Op(TestConv2DBF16Op):
core.CPUPlace(),
["Filter"],
"Output",
set(['Input']),
{'Input'},
user_defined_grads=[dweights],
user_defined_grad_outputs=[convert_float_to_uint16(dout)],
)
......
python/paddle/fluid/tests/unittests/mkldnn/test_pool2d_bf16_mkldnn_op.py
浏览文件 @ 9fa98349
......@@ -79,7 +79,7 @@ class TestPoolBf16MklDNNOpGrad(TestPool2D_Op_Mixin, OpTest):
)
x_grad = x_grad / np.prod(self.outputs['Out'].shape)
self.check_grad_with_place(
core.CPUPlace(), set(['X']), 'Out', user_defined_grads=[x_grad]
core.CPUPlace(), {'X'}, 'Out', user_defined_grads=[x_grad]
)
......
python/paddle/fluid/tests/unittests/prim_op_test.py
浏览文件 @ 9fa98349
......@@ -164,7 +164,7 @@ class OpTestUtils:
if api_params == []:
results.append(input_arguments)
return results
api_ignore_param_list = set(['name', 'dtype', 'out', 'output'])
api_ignore_param_list = {'name', 'dtype', 'out', 'output'}
idx_of_op_proto_arguments = 0
for idx, arg_name in enumerate(api_params):
if arg_name in api_ignore_param_list:
......
python/paddle/fluid/tests/unittests/sequence/test_sequence_conv.py
浏览文件 @ 9fa98349
......@@ -179,7 +179,7 @@ class TestSeqProject(OpTest):
self.check_grad(
['PaddingData'],
'Out',
no_grad_set=set(['X', 'Filter']),
no_grad_set={'X', 'Filter'},
check_dygraph=False,
)
......@@ -198,7 +198,7 @@ class TestSeqProject(OpTest):
['X', 'Filter'],
'Out',
max_relative_error=0.05,
no_grad_set=set(['PaddingData']),
no_grad_set={'PaddingData'},
check_dygraph=False,
)
......@@ -208,7 +208,7 @@ class TestSeqProject(OpTest):
self.inputs_val_no_f,
'Out',
max_relative_error=0.05,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
check_dygraph=False,
)
......@@ -218,7 +218,7 @@ class TestSeqProject(OpTest):
self.inputs_val_no_x,
'Out',
max_relative_error=0.05,
no_grad_set=set(['X']),
no_grad_set={'X'},
check_dygraph=False,
)
......
python/paddle/fluid/tests/unittests/test_affine_channel_op.py
浏览文件 @ 9fa98349
......@@ -62,7 +62,7 @@ class TestAffineChannelOp(OpTest):
self.check_grad(
['X'],
'Out',
no_grad_set=set(['Scale', 'Bias']),
no_grad_set={'Scale', 'Bias'},
check_dygraph=False,
)
......
python/paddle/fluid/tests/unittests/test_backward.py
浏览文件 @ 9fa98349
......@@ -187,16 +187,14 @@ class TestBackward(unittest.TestCase):
class SimpleNet(BackwardNet):
def __init__(self):
super().__init__()
self.stop_gradient_grad_vars = set(
[
'x_no_grad@GRAD',
'x2_no_grad@GRAD',
'x3_no_grad@GRAD',
'label_no_grad@GRAD',
]
)
self.stop_gradient_grad_vars = {
'x_no_grad@GRAD',
'x2_no_grad@GRAD',
'x3_no_grad@GRAD',
'label_no_grad@GRAD',
}
self.no_grad_vars = set()
self.params_names = set(['w2v', 'fc_predict.b_0', 'fc_w'])
self.params_names = {'w2v', 'fc_predict.b_0', 'fc_w'}
self.op_path = [
'lookup_table_v2',
'lookup_table_v2', # embedding
......
python/paddle/fluid/tests/unittests/test_batch_norm_op.py
浏览文件 @ 9fa98349
......@@ -617,7 +617,7 @@ class TestBatchNormOpTraining(unittest.TestCase):
class TestBatchNormOpTrainingCase1(TestBatchNormOpTraining):
def init_test_case(self):
self.use_global_stats = False
self.no_grad_set = set(['scale@GRAD', 'bias@GRAD'])
self.no_grad_set = {'scale@GRAD', 'bias@GRAD'}
self.fetch_list = ['y', 'mean', 'variance', 'x@GRAD']
......@@ -641,7 +641,7 @@ class TestBatchNormOpTrainingCase2(TestBatchNormOpTraining):
class TestBatchNormOpTrainingCase3(TestBatchNormOpTraining):
def init_test_case(self):
self.use_global_stats = False
self.no_grad_set = set(['x@GRAD'])
self.no_grad_set = {'x@GRAD'}
self.fetch_list = ['y', 'mean', 'variance', 'scale@GRAD', 'bias@GRAD']
......@@ -747,7 +747,7 @@ class TestBatchNormOpFreezeStatsAndScaleBiasTraining(
):
def init_test_case(self):
self.use_global_stats = True
self.no_grad_set = set(['scale@GRAD', 'bias@GRAD'])
self.no_grad_set = {'scale@GRAD', 'bias@GRAD'}
self.fetch_list = ['y', 'mean', 'variance', 'x@GRAD']
......
python/paddle/fluid/tests/unittests/test_conv2d_op.py
浏览文件 @ 9fa98349
......@@ -183,14 +183,14 @@ def create_test_cudnn_fp16_class(parent, grad_check=True):
place = core.CUDAPlace(0)
if core.is_float16_supported(place) and grad_check:
self.check_grad_with_place(
place, ['Input'], 'Output', no_grad_set=set(['Filter'])
place, ['Input'], 'Output', no_grad_set={'Filter'}
)
def test_check_grad_no_input(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place) and grad_check:
self.check_grad_with_place(
place, ['Filter'], 'Output', no_grad_set=set(['Input'])
place, ['Filter'], 'Output', no_grad_set={'Input'}
)
cls_name = "{0}_{1}".format(parent.__name__, "CUDNNFp16")
......@@ -231,7 +231,7 @@ def create_test_cudnn_bf16_class(parent):
place,
['Input'],
'Output',
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
user_defined_grads=[numeric_grads],
)
......@@ -242,7 +242,7 @@ def create_test_cudnn_bf16_class(parent):
place,
['Filter'],
'Output',
no_grad_set=set(['Input']),
no_grad_set={'Input'},
user_defined_grads=[numeric_grads],
)
......@@ -307,14 +307,14 @@ def create_test_cudnn_channel_last_fp16_class(parent, grad_check=True):
place = core.CUDAPlace(0)
if core.is_float16_supported(place) and grad_check:
self.check_grad_with_place(
place, ['Input'], 'Output', no_grad_set=set(['Filter'])
place, ['Input'], 'Output', no_grad_set={'Filter'}
)
def test_check_grad_no_input(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place) and grad_check:
self.check_grad_with_place(
place, ['Filter'], 'Output', no_grad_set=set(['Input'])
place, ['Filter'], 'Output', no_grad_set={'Input'}
)
def init_data_format(self):
......@@ -506,7 +506,7 @@ class TestConv2DOp(OpTest):
['Input'],
'Output',
max_relative_error=0.02,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
check_dygraph=(not self.use_mkldnn),
)
......@@ -521,7 +521,7 @@ class TestConv2DOp(OpTest):
place,
['Filter'],
'Output',
no_grad_set=set(['Input']),
no_grad_set={'Input'},
check_dygraph=(not self.use_mkldnn),
)
......@@ -826,7 +826,7 @@ class TestConv2DOp_v2(OpTest):
['Input'],
'Output',
max_relative_error=0.02,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
check_dygraph=(not self.use_mkldnn),
)
......@@ -839,7 +839,7 @@ class TestConv2DOp_v2(OpTest):
place,
['Filter'],
'Output',
no_grad_set=set(['Input']),
no_grad_set={'Input'},
check_dygraph=(not self.use_mkldnn),
)
......
python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py
浏览文件 @ 9fa98349
......@@ -228,24 +228,20 @@ class TestConv2DTransposeOp(OpTest):
['Filter'],
'Output',
max_relative_error=0.02,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
else:
self.check_grad(
['Filter'], 'Output', no_grad_set=set(['Input'])
)
self.check_grad(['Filter'], 'Output', no_grad_set={'Input'})
def test_check_grad_no_filter(self):
if self.need_check_grad:
if self.use_cudnn:
place = core.CUDAPlace(0)
self.check_grad_with_place(
place, ['Input'], 'Output', no_grad_set=set(['Filter'])
place, ['Input'], 'Output', no_grad_set={'Filter'}
)
else:
self.check_grad(
['Input'], 'Output', no_grad_set=set(['Filter'])
)
self.check_grad(['Input'], 'Output', no_grad_set={'Filter'})
def test_check_grad(self):
if self.need_check_grad:
......@@ -253,13 +249,13 @@ class TestConv2DTransposeOp(OpTest):
place = core.CUDAPlace(0)
self.check_grad_with_place(
place,
set(['Input', 'Filter']),
{'Input', 'Filter'},
'Output',
max_relative_error=0.02,
)
else:
self.check_grad(
set(['Input', 'Filter']), 'Output', max_relative_error=0.02
{'Input', 'Filter'}, 'Output', max_relative_error=0.02
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/test_conv3d_op.py
浏览文件 @ 9fa98349
......@@ -380,7 +380,7 @@ class TestConv3DOp(OpTest):
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
check_dygraph=(not self.use_mkldnn),
)
......@@ -394,7 +394,7 @@ class TestConv3DOp(OpTest):
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
check_dygraph=(not self.use_mkldnn),
)
......@@ -694,7 +694,7 @@ class TestConv3DOp_2(OpTest):
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
def test_check_grad_no_input(self):
......@@ -706,7 +706,7 @@ class TestConv3DOp_2(OpTest):
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py
浏览文件 @ 9fa98349
......@@ -206,13 +206,13 @@ class TestConv3DTransposeOp(OpTest):
place = core.CUDAPlace(0)
self.check_grad_with_place(
place,
set(['Input', 'Filter']),
{'Input', 'Filter'},
'Output',
max_relative_error=0.03,
)
else:
self.check_grad(
set(['Input', 'Filter']), 'Output', max_relative_error=0.03
{'Input', 'Filter'}, 'Output', max_relative_error=0.03
)
def test_check_grad_no_filter(self):
......@@ -223,14 +223,14 @@ class TestConv3DTransposeOp(OpTest):
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
elif self.check_no_filter:
self.check_grad(
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
def test_check_grad_no_input(self):
......@@ -241,14 +241,14 @@ class TestConv3DTransposeOp(OpTest):
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
elif self.check_no_input:
self.check_grad(
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/test_data_norm_op.py
浏览文件 @ 9fa98349
......@@ -276,7 +276,7 @@ class TestDataNormOp(OpTest):
test check backward, check grad
"""
# NODE(yjjiang11): This op will be deprecated.
self.check_grad(['X'], 'Y', no_grad_set=set([]), check_dygraph=False)
self.check_grad(['X'], 'Y', no_grad_set=set(), check_dygraph=False)
class TestDataNormOpWithEnableScaleAndShift(OpTest):
......@@ -340,7 +340,7 @@ class TestDataNormOpWithEnableScaleAndShift(OpTest):
test check backward, check grad
"""
# NODE(yjjiang11): This op will be deprecated.
self.check_grad(['X'], 'Y', no_grad_set=set([]), check_dygraph=False)
self.check_grad(['X'], 'Y', no_grad_set=set(), check_dygraph=False)
class TestDataNormOpWithoutEnableScaleAndShift(OpTest):
......@@ -399,7 +399,7 @@ class TestDataNormOpWithoutEnableScaleAndShift(OpTest):
test check backward, check grad
"""
# NODE(yjjiang11): This op will be deprecated.
self.check_grad(['X'], 'Y', no_grad_set=set([]), check_dygraph=False)
self.check_grad(['X'], 'Y', no_grad_set=set(), check_dygraph=False)
class TestDataNormOpWithEnableScaleAndShift_1(OpTest):
......@@ -463,7 +463,7 @@ class TestDataNormOpWithEnableScaleAndShift_1(OpTest):
test check backward, check grad
"""
# NODE(yjjiang11): This op will be deprecated.
self.check_grad(['X'], 'Y', no_grad_set=set([]), check_dygraph=False)
self.check_grad(['X'], 'Y', no_grad_set=set(), check_dygraph=False)
class TestDataNormOpWithSlotDim(OpTest):
......@@ -521,7 +521,7 @@ class TestDataNormOpWithSlotDim(OpTest):
test check backward, check grad
"""
# NODE(yjjiang11): This op will be deprecated.
self.check_grad(['X'], 'Y', no_grad_set=set([]), check_dygraph=False)
self.check_grad(['X'], 'Y', no_grad_set=set(), check_dygraph=False)
class TestDataNormOpErrorr(unittest.TestCase):
......
python/paddle/fluid/tests/unittests/test_deformable_conv_v1_op.py
浏览文件 @ 9fa98349
......@@ -202,7 +202,7 @@ class TestModulatedDeformableConvOp(OpTest):
['Input', 'Offset'],
'Output',
max_relative_error=0.1,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/test_filter_by_instag_op.py
浏览文件 @ 9fa98349
......@@ -73,9 +73,7 @@ class TestFilterByInstagOp(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(
['Ins'], 'Out', no_grad_set=set(['Ins_tag', 'Filter_tag'])
)
self.check_grad(['Ins'], 'Out', no_grad_set={'Ins_tag', 'Filter_tag'})
"""This is Test Case 2"""
......@@ -119,9 +117,7 @@ class TestFilterByInstagOp2(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(
['Ins'], 'Out', no_grad_set=set(['Ins_tag', 'Filter_tag'])
)
self.check_grad(['Ins'], 'Out', no_grad_set={'Ins_tag', 'Filter_tag'})
"""This is Test Case 3"""
......@@ -162,9 +158,7 @@ class TestFilterByInstagOp3(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(
['Ins'], 'Out', no_grad_set=set(['Ins_tag', 'Filter_tag'])
)
self.check_grad(['Ins'], 'Out', no_grad_set={'Ins_tag', 'Filter_tag'})
"""This is Test Case 4"""
......@@ -204,9 +198,7 @@ class TestFilterByInstagOp4(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(
['Ins'], 'Out', no_grad_set=set(['Ins_tag', 'Filter_tag'])
)
self.check_grad(['Ins'], 'Out', no_grad_set={'Ins_tag', 'Filter_tag'})
class TestFilterByInstagOp6(OpTest):
......
python/paddle/fluid/tests/unittests/test_group_norm_op.py
浏览文件 @ 9fa98349
......@@ -126,7 +126,7 @@ class TestGroupNormOp(OpTest):
self.op = create_op(
self.scope, self.op_type, op_inputs, op_outputs, op_attrs
)
inputs_to_check = set(['X', 'Scale', 'Bias'])
inputs_to_check = {'X', 'Scale', 'Bias'}
output_names = 'Y'
cpu_grads = self._get_gradient(
inputs_to_check, place, output_names, None
......@@ -148,12 +148,12 @@ class TestGroupNormOp(OpTest):
return
place = core.CPUPlace()
self.check_grad_with_place(place, set(['X', 'Scale', 'Bias']), 'Y')
self.check_grad_with_place(place, {'X', 'Scale', 'Bias'}, 'Y')
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
self.check_grad_with_place(
place,
set(['X', 'Scale', 'Bias']),
{'X', 'Scale', 'Bias'},
'Y',
)
......@@ -187,7 +187,7 @@ class TestGroupNormFP16OP(TestGroupNormOp):
return
place = core.CUDAPlace(0)
self.check_grad_with_place(place, set(['X', 'Scale', 'Bias']), 'Y')
self.check_grad_with_place(place, {'X', 'Scale', 'Bias'}, 'Y')
def init_test_case(self):
self.dtype = np.float16
......@@ -250,7 +250,7 @@ class TestGroupNormBF16Op(OpTest):
return
place = core.CUDAPlace(0)
self.check_grad_with_place(place, set(['X', 'Scale', 'Bias']), 'Y')
self.check_grad_with_place(place, {'X', 'Scale', 'Bias'}, 'Y')
def init_test_case(self):
pass
......
python/paddle/fluid/tests/unittests/test_imperative_trace_non_persistable_inputs.py
浏览文件 @ 9fa98349
......@@ -48,13 +48,11 @@ class TestTracedLayerRecordNonPersistableInput(unittest.TestCase):
learning_rate=1e-3, parameter_list=layer.parameters()
)
expected_persistable_vars = set(
[
layer._linear.weight.name,
layer._linear.bias.name,
layer._offset.name,
]
)
expected_persistable_vars = {
layer._linear.weight.name,
layer._linear.bias.name,
layer._offset.name,
}
for _ in range(10):
in_x = fluid.dygraph.to_variable(
......
python/paddle/fluid/tests/unittests/test_infer_no_need_buffer_slots.py
浏览文件 @ 9fa98349
......@@ -60,7 +60,7 @@ class TestInferNoNeedBufferSlots(unittest.TestCase):
core.infer_no_need_buffer_slots(
op.type, inputs, outputs, attrs
),
set([]),
set(),
)
elif idx == 1:
# fill constant op
......@@ -68,7 +68,7 @@ class TestInferNoNeedBufferSlots(unittest.TestCase):
core.infer_no_need_buffer_slots(
op.type, inputs, outputs, attrs
),
set([]),
set(),
)
else:
# elementwise_add_grad op
......@@ -76,7 +76,7 @@ class TestInferNoNeedBufferSlots(unittest.TestCase):
core.infer_no_need_buffer_slots(
op.type, inputs, outputs, attrs
),
set(['Y', 'X']),
{'Y', 'X'},
)
......
python/paddle/fluid/tests/unittests/test_instance_norm_op.py
浏览文件 @ 9fa98349
......@@ -221,14 +221,14 @@ class TestInstanceNormOpTraining(unittest.TestCase):
class TestInstanceNormOpTrainingCase1(TestInstanceNormOpTraining):
def init_test_case(self):
self.shape = [2, 3, 4, 5]
self.no_grad_set = set(['scale@GRAD', 'bias@GRAD'])
self.no_grad_set = {'scale@GRAD', 'bias@GRAD'}
self.fetch_list = ['y', 'saved_mean', 'saved_variance', 'x@GRAD']
class TestInstanceNormOpTrainingCase2(TestInstanceNormOpTraining):
def init_test_case(self):
self.shape = [20, 50, 4, 5]
self.no_grad_set = set(['scale@GRAD', 'bias@GRAD'])
self.no_grad_set = {'scale@GRAD', 'bias@GRAD'}
self.fetch_list = ['y', 'saved_mean', 'saved_variance', 'x@GRAD']
......
python/paddle/fluid/tests/unittests/test_lstm_cudnn_op.py
浏览文件 @ 9fa98349
......@@ -534,7 +534,7 @@ class TestCUDNNLstmOp(OpTest):
for var_name in var_name_list:
self.check_grad_with_place(
place,
set(['Input', var_name, 'InitH', 'InitC']),
{'Input', var_name, 'InitH', 'InitC'},
['Out', 'LastH', 'LastC'],
)
......
python/paddle/fluid/tests/unittests/test_matmul_v2_op.py
浏览文件 @ 9fa98349
......@@ -414,7 +414,7 @@ def create_test_bf16_class(parent, atol=0.01):
place,
['X'],
'Out',
no_grad_set=set(['Y']),
no_grad_set={'Y'},
user_defined_grads=[numeric_grads],
)
......@@ -425,7 +425,7 @@ def create_test_bf16_class(parent, atol=0.01):
place,
['Y'],
'Out',
no_grad_set=set(['X']),
no_grad_set={'X'},
user_defined_grads=[numeric_grads],
)
......
python/paddle/fluid/tests/unittests/test_multiplex_op.py
浏览文件 @ 9fa98349
......@@ -54,7 +54,7 @@ class TestMultiplexOp(OpTest):
self.check_grad(['x2', 'x3', 'x4'], 'Out', no_grad_set=set('x1'))
def test_check_grad_ignore_x1_x2(self):
self.check_grad(['x3', 'x4'], 'Out', no_grad_set=set(['x1', 'x2']))
self.check_grad(['x3', 'x4'], 'Out', no_grad_set={'x1', 'x2'})
def test_check_grad_ignore_x3(self):
self.check_grad(['x1', 'x2', 'x4'], 'Out', no_grad_set=set('x3'))
......
python/paddle/fluid/tests/unittests/test_operator_desc.py
浏览文件 @ 9fa98349
......@@ -66,18 +66,16 @@ class TestOperator(unittest.TestCase):
self.assertEqual(mul_op.output("Out"), ["mul.out"])
self.assertEqual(
set(mul_op.attr_names),
set(
[
"x_num_col_dims",
"y_num_col_dims",
"op_role",
"op_role_var",
"op_namescope",
"op_callstack",
"op_device",
"with_quant_attr",
]
),
{
"x_num_col_dims",
"y_num_col_dims",
"op_role",
"op_role_var",
"op_namescope",
"op_callstack",
"op_device",
"with_quant_attr",
},
)
self.assertEqual(mul_op.has_attr("x_num_col_dims"), True)
self.assertEqual(mul_op.attr_type("x_num_col_dims"), core.AttrType.INT)
......
python/paddle/fluid/tests/unittests/test_pool2d_op.py
浏览文件 @ 9fa98349
......@@ -358,14 +358,14 @@ class TestPool2D_Op_Mixin:
place = core.CUDAPlace(0)
self.check_grad_with_place(
place,
set(['X']),
{'X'},
'Out',
max_relative_error=0.07,
check_dygraph=(not self.use_mkldnn),
)
elif self.pool_type != "max":
self.check_grad(
set(['X']),
{'X'},
'Out',
max_relative_error=0.07,
check_dygraph=(not self.use_mkldnn),
......@@ -524,7 +524,7 @@ def create_test_cudnn_fp16_class(parent, check_grad=True):
):
self.check_grad_with_place(
place,
set(['X']),
{'X'},
'Out',
max_relative_error=0.07,
check_dygraph=(not self.use_mkldnn),
......@@ -565,7 +565,7 @@ def create_test_fp16_class(parent, check_grad=True):
):
self.check_grad_with_place(
place,
set(['X']),
{'X'},
'Out',
max_relative_error=0.07,
check_dygraph=(not self.use_mkldnn),
......@@ -864,10 +864,10 @@ class TestCase5_Max(TestCase2):
if self.has_cudnn() and self.pool_type == "max":
place = core.CUDAPlace(0)
self.check_grad_with_place(
place, set(['X']), 'Out', max_relative_error=1.00
place, {'X'}, 'Out', max_relative_error=1.00
)
elif self.pool_type == "max":
self.check_grad(set(['X']), 'Out', max_relative_error=1.00)
self.check_grad({'X'}, 'Out', max_relative_error=1.00)
class TestCase5_channel_last_Max(TestCase5_Max):
......
python/paddle/fluid/tests/unittests/test_pool3d_op.py
浏览文件 @ 9fa98349
......@@ -339,15 +339,15 @@ class TestPool3D_Op(OpTest):
place = core.CUDAPlace(0)
if core.is_compiled_with_rocm():
self.check_grad_with_place(
place, set(['X']), 'Out', max_relative_error=1e-2
place, {'X'}, 'Out', max_relative_error=1e-2
)
else:
self.check_grad_with_place(place, set(['X']), 'Out')
self.check_grad_with_place(place, {'X'}, 'Out')
elif self.pool_type != "max":
if core.is_compiled_with_rocm():
self.check_grad(set(['X']), 'Out', max_relative_error=1e-2)
self.check_grad({'X'}, 'Out', max_relative_error=1e-2)
else:
self.check_grad(set(['X']), 'Out')
self.check_grad({'X'}, 'Out')
def init_data_format(self):
self.data_format = "NCDHW"
......@@ -783,10 +783,10 @@ class TestCase5_Max(TestCase2):
if self.has_cudnn() and self.pool_type == "max":
place = core.CUDAPlace(0)
self.check_grad_with_place(
place, set(['X']), 'Out', max_relative_error=1.00
place, {'X'}, 'Out', max_relative_error=1.00
)
elif self.pool_type == "max":
self.check_grad(set(['X']), 'Out', max_relative_error=1.00)
self.check_grad({'X'}, 'Out', max_relative_error=1.00)
class TestCase5_channel_last_Max(TestCase5_Max):
......
python/paddle/fluid/tests/unittests/test_pool_max_op.py
浏览文件 @ 9fa98349
......@@ -163,7 +163,7 @@ class TestMaxPoolWithIndex_Op(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(set(['X']), ['Out'])
self.check_grad({'X'}, ['Out'])
def init_test_case(self):
self.op_type = "max_pool3d_with_index"
......
python/paddle/fluid/tests/unittests/test_save_inference_model_conditional_op.py
浏览文件 @ 9fa98349
......@@ -91,16 +91,14 @@ class TestConditionalOp(unittest.TestCase):
model_file = os.path.join(root_path.name, "while_net")
paddle.jit.save(net, model_file)
right_pdmodel = set(
[
"uniform_random",
"shape",
"slice",
"not_equal",
"while",
"elementwise_add",
]
)
right_pdmodel = {
"uniform_random",
"shape",
"slice",
"not_equal",
"while",
"elementwise_add",
}
paddle.enable_static()
pdmodel = getModelOp(model_file + ".pdmodel")
self.assertTrue(
......@@ -119,16 +117,14 @@ class TestConditionalOp(unittest.TestCase):
model_file = os.path.join(root_path.name, "for_net")
paddle.jit.save(net, model_file)
right_pdmodel = set(
[
"randint",
"fill_constant",
"cast",
"less_than",
"while",
"elementwise_add",
]
)
right_pdmodel = {
"randint",
"fill_constant",
"cast",
"less_than",
"while",
"elementwise_add",
}
paddle.enable_static()
pdmodel = getModelOp(model_file + ".pdmodel")
self.assertTrue(
......@@ -147,16 +143,14 @@ class TestConditionalOp(unittest.TestCase):
model_file = os.path.join(root_path.name, "if_net")
paddle.jit.save(net, model_file)
right_pdmodel = set(
[
"assign_value",
"greater_than",
"cast",
"conditional_block",
"logical_not",
"select_input",
]
)
right_pdmodel = {
"assign_value",
"greater_than",
"cast",
"conditional_block",
"logical_not",
"select_input",
}
paddle.enable_static()
pdmodel = getModelOp(model_file + ".pdmodel")
self.assertTrue(
......
python/paddle/fluid/tests/unittests/test_spectral_norm_op.py
浏览文件 @ 9fa98349
......@@ -115,7 +115,7 @@ class TestSpectralNormOp(TestSpectralNormOpNoGrad):
self.check_grad(
['Weight'],
'Out',
no_grad_set=set(["U", "V"]),
no_grad_set={"U", "V"},
)
def initTestCase(self):
......
python/paddle/fluid/tests/unittests/test_strided_slice_op.py
浏览文件 @ 9fa98349
......@@ -99,7 +99,7 @@ class TestStrideSliceOp(OpTest):
self.check_output(check_eager=True)
def test_check_grad(self):
self.check_grad(set(['Input']), 'Out', check_eager=True)
self.check_grad({'Input'}, 'Out', check_eager=True)
def initTestCase(self):
self.input = np.random.rand(100)
......
python/paddle/fluid/tests/unittests/test_top_k_op.py
浏览文件 @ 9fa98349
......@@ -57,7 +57,7 @@ class TestTopkOp(OpTest):
self.check_output()
def test_check_grad(self):
self.check_grad(set(['X']), 'Out')
self.check_grad({'X'}, 'Out')
if __name__ == "__main__":
......
python/paddle/fluid/tests/unittests/xpu/test_affine_channel_op_xpu.py
浏览文件 @ 9fa98349
......@@ -79,7 +79,7 @@ class TestAffineChannelOp(XPUOpTest):
paddle.enable_static()
place = paddle.XPUPlace(0)
self.check_grad_with_place(
place, ['X'], 'Out', no_grad_set=set(['Scale', 'Bias'])
place, ['X'], 'Out', no_grad_set={'Scale', 'Bias'}
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/xpu/test_conv2d_op_xpu.py
浏览文件 @ 9fa98349
......@@ -276,7 +276,7 @@ class XPUTestConv2DOp(XPUOpTestWrapper):
if core.is_compiled_with_xpu():
paddle.enable_static()
self.check_grad_with_place(
self.place, ['Input'], 'Output', no_grad_set=set(['Filter'])
self.place, ['Input'], 'Output', no_grad_set={'Filter'}
)
def test_check_grad_no_input(self):
......@@ -285,7 +285,7 @@ class XPUTestConv2DOp(XPUOpTestWrapper):
if core.is_compiled_with_xpu():
paddle.enable_static()
self.check_grad_with_place(
self.place, ['Filter'], 'Output', no_grad_set=set(['Input'])
self.place, ['Filter'], 'Output', no_grad_set={'Input'}
)
def init_test_case(self):
......@@ -440,7 +440,7 @@ class XPUTestConv2DOp_v2(XPUOpTestWrapper):
if core.is_compiled_with_xpu():
paddle.enable_static()
self.check_grad_with_place(
self.place, ['Input'], 'Output', no_grad_set=set(['Filter'])
self.place, ['Input'], 'Output', no_grad_set={'Filter'}
)
def test_check_grad_no_input(self):
......@@ -450,7 +450,7 @@ class XPUTestConv2DOp_v2(XPUOpTestWrapper):
if core.is_compiled_with_xpu():
paddle.enable_static()
self.check_grad_with_place(
self.place, ['Filter'], 'Output', no_grad_set=set(['Input'])
self.place, ['Filter'], 'Output', no_grad_set={'Input'}
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/xpu/test_conv2d_transpose_op_xpu.py
浏览文件 @ 9fa98349
......@@ -192,19 +192,19 @@ class XPUTestConv2DTransposeOp(XPUOpTestWrapper):
def test_check_grad_no_input(self):
if self.need_check_grad:
self.check_grad_with_place(
self.place, ['Filter'], 'Output', no_grad_set=set(['Input'])
self.place, ['Filter'], 'Output', no_grad_set={'Input'}
)
def test_check_grad_no_filter(self):
if self.need_check_grad:
self.check_grad_with_place(
self.place, ['Input'], 'Output', no_grad_set=set(['Filter'])
self.place, ['Input'], 'Output', no_grad_set={'Filter'}
)
def test_check_grad(self):
if self.need_check_grad:
self.check_grad_with_place(
self.place, set(['Input', 'Filter']), 'Output'
self.place, {'Input', 'Filter'}, 'Output'
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/xpu/test_conv3d_op_xpu.py
浏览文件 @ 9fa98349
......@@ -275,7 +275,7 @@ class XPUTestConv3DOp(XPUOpTestWrapper):
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
def test_check_grad_no_input(self):
......@@ -286,7 +286,7 @@ class XPUTestConv3DOp(XPUOpTestWrapper):
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
def init_test_case(self):
......@@ -445,7 +445,7 @@ class XPUTestConv3DOp_v2(XPUOpTestWrapper):
['Input'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Filter']),
no_grad_set={'Filter'},
)
def test_check_grad_no_input(self):
......@@ -455,7 +455,7 @@ class XPUTestConv3DOp_v2(XPUOpTestWrapper):
['Filter'],
'Output',
max_relative_error=0.03,
no_grad_set=set(['Input']),
no_grad_set={'Input'},
)
def init_test_case(self):
......
python/paddle/fluid/tests/unittests/xpu/test_instance_norm_op_xpu.py
浏览文件 @ 9fa98349
......@@ -145,27 +145,27 @@ class XPUTestInstanceNormOp(XPUOpTestWrapper):
class TestXPUInstanceNormOp6(XPUTestInstanceNormOp):
def set_attrs(self):
self.shape = [10, 12, 32, 32]
self.no_grad_set = set(['Scale', 'Bias'])
self.no_grad_set = {'Scale', 'Bias'}
class TestXPUInstanceNormOp7(XPUTestInstanceNormOp):
def set_attrs(self):
self.shape = [4, 5, 6, 7]
self.no_grad_set = set(['Scale', 'Bias'])
self.no_grad_set = {'Scale', 'Bias'}
class TestXPUInstanceNormOp8(XPUTestInstanceNormOp):
def set_attrs(self):
self.shape = [1, 8, 16, 16]
self.no_grad_set = set(['Scale', 'Bias'])
self.no_grad_set = {'Scale', 'Bias'}
class TestXPUInstanceNormOp9(XPUTestInstanceNormOp):
def set_attrs(self):
self.shape = [4, 16, 256, 128]
self.no_grad_set = set(['Scale', 'Bias'])
self.no_grad_set = {'Scale', 'Bias'}
class TestXPUInstanceNormOp10(XPUTestInstanceNormOp):
def set_attrs(self):
self.shape = [10, 3, 512, 1]
self.no_grad_set = set(['Scale', 'Bias'])
self.no_grad_set = {'Scale', 'Bias'}
class TestInstanceNormOpError(XPUOpTest):
def setUp(self):
......
python/paddle/fluid/tests/unittests/xpu/test_kldiv_loss_op_xpu.py
浏览文件 @ 9fa98349
......@@ -79,8 +79,8 @@ class XPUTestKLDivLossOp(XPUOpTestWrapper):
paddle.XPUPlace(0),
['X'],
'Loss',
no_grad_set=set(["Target"]),
check_dygraph=True,
no_grad_set={"Target"},
check_eager=True,
)
def initTestCase(self):
......
python/paddle/fluid/tests/unittests/xpu/test_pool2d_op_xpu.py
浏览文件 @ 9fa98349
......@@ -346,7 +346,7 @@ class XPUTestPool2D_Op(XPUOpTestWrapper):
self.check_output_with_place(self.place)
def test_check_grad(self):
self.check_grad_with_place(self.place, set(['X']), 'Out')
self.check_grad_with_place(self.place, {'X'}, 'Out')
def init_data_format(self):
self.data_format = "NCHW"
......
python/paddle/fluid/tests/unittests/xpu/test_pool3d_op_xpu.py
浏览文件 @ 9fa98349
......@@ -344,7 +344,7 @@ class XPUTestPool3DOp(XPUOpTestWrapper):
return
place = paddle.XPUPlace(0)
self.check_grad_with_place(place, set(['X']), 'Out')
self.check_grad_with_place(place, {'X'}, 'Out')
def init_data_format(self):
self.data_format = "NCDHW"
......@@ -532,7 +532,7 @@ class XPUTestPool3DOp(XPUOpTestWrapper):
if self.dtype == np.float16:
return
place = paddle.XPUPlace(0)
self.check_grad_with_place(place, set(['X']), 'Out')
self.check_grad_with_place(place, {'X'}, 'Out')
support_types = get_xpu_op_support_types('pool3d')
......
python/paddle/fluid/tests/unittests/xpu/test_pool_max_op_xpu.py
浏览文件 @ 9fa98349
......@@ -112,7 +112,7 @@ class XPUTestPoolWithIndex_op(XPUOpTestWrapper):
self.check_output_with_place(self.place)
def test_check_grad(self):
self.check_grad_with_place(self.place, set(['X']), ['Out'])
self.check_grad_with_place(self.place, {'X'}, ['Out'])
def init_test_case(self):
self.pool_forward_naive = max_pool2D_forward_naive
......
python/paddle/fluid/tests/unittests/xpu/test_sequence_conv_op_xpu.py
浏览文件 @ 9fa98349
......@@ -178,7 +178,7 @@ class XPUTestSequenceConv(XPUOpTestWrapper):
def test_check_grad_padding_data(self):
if self.padding_trainable:
self.check_grad(
['PaddingData'], 'Out', no_grad_set=set(['X', 'Filter'])
['PaddingData'], 'Out', no_grad_set={'X', 'Filter'}
)
def test_check_grad_Filter(self):
......@@ -189,20 +189,18 @@ class XPUTestSequenceConv(XPUOpTestWrapper):
def test_check_grad_input_filter(self):
if self.padding_trainable:
self.check_grad(
['X', 'Filter'], 'Out', no_grad_set=set(['PaddingData'])
['X', 'Filter'], 'Out', no_grad_set={'PaddingData'}
)
def test_check_grad_padding_input(self):
if self.padding_trainable:
self.check_grad(
self.inputs_val_no_f, 'Out', no_grad_set=set(['Filter'])
self.inputs_val_no_f, 'Out', no_grad_set={'Filter'}
)
def test_check_grad_padding_filter(self):
if self.padding_trainable:
self.check_grad(
self.inputs_val_no_x, 'Out', no_grad_set=set(['X'])
)
self.check_grad(self.inputs_val_no_x, 'Out', no_grad_set={'X'})
def init_test_case(self):
self.input_row = 7
......
python/paddle/jit/dy2static/basic_api_transformer.py
浏览文件 @ 9fa98349
......@@ -197,11 +197,9 @@ class AttributeJstTransformer(BaseTransformer):
assert isinstance(
node, gast.AST
), "Input non-gast.AST node for the initialization of ToTensorTransformer."
self.interested_name = set(
[
'size',
]
)
self.interested_name = {
'size',
}
self.root = node
def transform(self):
......
python/paddle/jit/dy2static/ifelse_transformer.py
浏览文件 @ 9fa98349
......@@ -288,7 +288,7 @@ class NameVisitor(gast.NodeVisitor):
return new_name_ids
def _is_call_func_name_node(self, node):
white_func_names = set(['append', 'extend'])
white_func_names = {'append', 'extend'}
if len(self.ancestor_nodes) > 1:
assert self.ancestor_nodes[-1] == node
parent_node = self.ancestor_nodes[-2]
......
python/paddle/static/quantization/quant2_int8_mkldnn_pass.py
浏览文件 @ 9fa98349
......@@ -62,7 +62,7 @@ class Quant2Int8MkldnnPass:
]
self._ops_to_quantize = _ops_to_quantize
self._op_ids_to_skip = (
_op_ids_to_skip if _op_ids_to_skip is not None else set([-1])
_op_ids_to_skip if _op_ids_to_skip is not None else {-1}
)
self._scale_immutable_ops = [
'transpose2',
......
python/paddle/static/quantization/tests/quant2_int8_image_classification_comparison.py
浏览文件 @ 9fa98349
......@@ -387,7 +387,7 @@ class Quant2Int8ImageClassificationComparisonTest(unittest.TestCase):
test_case_args.ops_to_quantize
)
self._op_ids_to_skip = set([-1])
self._op_ids_to_skip = {-1}
if test_case_args.op_ids_to_skip:
self._op_ids_to_skip = self._ints_from_csv(
test_case_args.op_ids_to_skip
......
python/paddle/static/quantization/tests/quant2_int8_nlp_comparison.py
浏览文件 @ 9fa98349
......@@ -325,7 +325,7 @@ class QuantInt8NLPComparisonTest(unittest.TestCase):
test_case_args.ops_to_quantize
)
self._op_ids_to_skip = set([-1])
self._op_ids_to_skip = {-1}
if test_case_args.op_ids_to_skip:
self._op_ids_to_skip = self._ints_from_csv(
test_case_args.op_ids_to_skip
......
python/paddle/utils/cpp_extension/extension_utils.py
浏览文件 @ 9fa98349
......@@ -887,7 +887,7 @@ def add_compile_flag(extra_compile_args, flags):
def is_cuda_file(path):
cuda_suffix = set(['.cu'])
cuda_suffix = {'.cu'}
items = os.path.splitext(path)
assert len(items) > 1
return items[-1] in cuda_suffix
......
tools/check_op_register_type.py
浏览文件 @ 9fa98349
......@@ -25,8 +25,8 @@ import sys
from paddle import fluid
INTS = set(['int', 'int64_t'])
FLOATS = set(['float', 'double'])
INTS = {'int', 'int64_t'}
FLOATS = {'float', 'double'}
def get_all_kernels():
......
tools/print_signatures.py
浏览文件 @ 9fa98349
......@@ -192,7 +192,7 @@ def insert_api_into_dict(full_name, gen_doc_anno=None):
api_info_dict[fc_id]["all_names"].add(full_name)
else:
api_info_dict[fc_id] = {
"all_names": set([full_name]),
"all_names": {full_name},
"id": fc_id,
"object": obj,
"type": type(obj).__name__,
......
tools/sampcd_processor.py
浏览文件 @ 9fa98349
......@@ -251,7 +251,7 @@ def is_required_match(requirestr, cbtitle='not-specified'):
None - skipped # trick
"""
global SAMPLE_CODE_TEST_CAPACITY, RUN_ON_DEVICE # readonly
requires = set(['cpu'])
requires = {'cpu'}
if requirestr:
for r in requirestr.split(','):
rr = r.strip().lower()
......
tools/test_print_signatures.py
浏览文件 @ 9fa98349
......@@ -77,7 +77,7 @@ class Test_is_primitive(unittest.TestCase):
self.assertTrue(is_primitive(set()))
self.assertTrue(is_primitive([1, 2]))
self.assertTrue(is_primitive((1.1, 2.2)))
self.assertTrue(is_primitive(set([1, 2.3])))
self.assertTrue(is_primitive({1, 2.3}))
self.assertFalse(is_primitive(range(3)))
self.assertFalse(is_primitive({}))
self.assertFalse(is_primitive([1, 1j]))
......
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或