提交 ee1d08ab 编写于 作者: M minqiyang

Fix CI issues

上级 46a26946
develop 2.0.1-rocm-post Ligoml-patch-1 OliverLPH-patch-1 OliverLPH-patch-2 PaddlePM-patch-1 PaddlePM-patch-2 ZHUI-patch-1 add_default_att add_model_benchmark_ci add_some_yaml_config addfile all_new_design_exec ascendrc ascendrelease cherry_undefined_var compile_windows cp_2.4_fix_numpy delete_2.0.1-rocm-post delete_add_default_att delete_all_new_design_exec delete_ascendrc delete_compile_windows delete_delete_addfile delete_disable_iterable_dataset_unittest delete_fix_dataloader_memory_leak delete_fix_imperative_dygraph_error delete_fix_retry_ci delete_fix_undefined_var delete_improve_sccache delete_incubate/lite delete_paddle_tiny_install delete_paralleltest delete_prv-disable-more-cache delete_revert-31068-fix_conv3d_windows delete_revert-31562-mean delete_revert-33630-bug-fix delete_revert-34159-add_npu_bce_logical_dev delete_revert-34910-spinlocks_for_allocator delete_revert-35069-revert-34910-spinlocks_for_allocator delete_revert-36057-dev/read_flags_in_ut dingjiaweiww-patch-1 disable_iterable_dataset_unittest dy2static enable_eager_model_test final_state_gen_python_c final_state_intermediate fix-numpy-issue fix_concat_slice fix_dataloader_memory_leak fix_dlpack_for fix_imperative_dygraph_error fix_npu_ci fix_op_flops fix_retry_ci fix_rnn_docs fix_tensor_type fix_undefined_var fix_var_stop_gradient_error fixiscan fixiscan1 fixiscan2 fixiscan3 github/fork/123malin/netifaces github/fork/123malin/tdm_abacus github/fork/AshburnLee/dev_unique github/fork/ForFishes/fix_memory_matmul github/fork/ForFishes/rm_fluid github/fork/LielinJiang/move-2.0-api github/fork/LielinJiang/visual-dl-cb github/fork/LiuChiachi/add-transformer-generate-square-subsequent-mask-api github/fork/LiuChiachi/fix-example-code-for-hapi-Model github/fork/LiuChiachi/remove-input-requirment-in-dygraph-Model github/fork/MrChengmo/fix_ps_profiler github/fork/MrChengmo/update_ps_heter github/fork/PWhiddy/patch-1 github/fork/Shixiaowei02/dev/save_load_upgrade github/fork/TCChenlong/fix_hapi github/fork/TCChenlong/fix_inden github/fork/Thunderbrook/xpu_slice github/fork/XieYunshen/disable_ut_test_parallel_executor_fetch_isolated_var github/fork/XieYunshen/disable_ut_test_parallel_executor_fetch_isolated_var_2 github/fork/XieYunshen/disable_ut_test_parallel_executor_fetch_isolated_var_3 github/fork/XieYunshen/timeout_20S_ut github/fork/ZeyuChen/remove-nltk github/fork/arlesniak/arlesniak/selective__mkldnn_flags github/fork/baiyfbupt/code_doc_mig github/fork/chalsliu/set_timeout github/fork/chen-zhiyu/develop github/fork/chenwhql/ci/try_to_find_test_buffer_shared_memory_reuse_pass_error github/fork/chenwhql/dygraph/remove_scale_loss_and_apply_collective_grads github/fork/chenwhql/saveload/add_get_inference_program github/fork/chenwhql/saveload/remove_save_load_config github/fork/cryoco/pass-compatibility-trt github/fork/danleifeng/isempty_api2.0 github/fork/frankwhzhang/api_transfer github/fork/hbwx24/error_msg/cuda_kernel_error_msg github/fork/heavengate/cherry_yolo_box github/fork/heavengate/update_yolo_box github/fork/iclementine/rnn_fix github/fork/iducn/testestse github/fork/jczaja/prv-25537-fix github/fork/jeff41404/release/1.8 github/fork/jiweibo/api_2.0 github/fork/jiweibo/fix_lite_resnet50_test github/fork/juncaipeng/fix_doc_1 github/fork/lfchener/sample_code github/fork/littletomatodonkey/fix_reg_doc github/fork/liym27/dy2stat_update_assign_to_rc20 github/fork/luotao1/profiler_ut github/fork/mapingshuo/add_wait github/fork/mapingshuo/doc_2.0 github/fork/mapingshuo/zero-0.5 github/fork/miraiwk/dev github/fork/pangyoki/add-Categorical-class-branch github/fork/pangyoki/add-multinomial-op-branch github/fork/pangyoki/fix-test_distritbution-CI github/fork/qjing666/doublegrad github/fork/qjing666/fix_hdfs_download github/fork/sandyhouse/add_gather_etc github/fork/sandyhouse/add_send_recv_alltoall_etc github/fork/sandyhouse/pipeline_exe_run github/fork/seiriosPlus/feature/large_scale_kv_save_delta github/fork/seiriosPlus/fix/paddle_errors_fix github/fork/seiriosPlus/fix/paddle_op_errors github/fork/shangzhizhou/fix_test_activation_op_random_bug github/fork/smallv0221/yxp0924 github/fork/smallv0221/yxp0925 github/fork/swtkiwi/del-matplotlib github/fork/tianshuo78520a/kunlun_test github/fork/tianshuo78520a/update_dockerfile github/fork/wanghaoshuang/bert_fuse github/fork/wanghaoshuang/label_smooth github/fork/wanghuancoder/develop_CUDASynchronize github/fork/wanghuancoder/develop_Layer_doc github/fork/wanghuancoder/develop_ParameterList_doc github/fork/wanghuancoder/develop_Sequential_doc github/fork/wanghuancoder/develop_bilinear_tensor_product github/fork/wanghuancoder/develop_coverage_build_sh github/fork/wanghuancoder/develop_in_dynamic_mode_doc github/fork/wanghuancoder/develop_unique_name_doc github/fork/wangxicoding/fleet_meta_combine github/fork/wawltor/error_message_fix_5 github/fork/willthefrog/remove_l2_norm github/fork/windstamp/momentum_op github/fork/windstamp/mv_op_5 github/fork/windstamp/normal_api github/fork/wojtuss/wojtuss/fusion_gru_quantization github/fork/wojtuss/wojtuss/quantization-with-shift github/fork/wzzju/fix_err_info github/fork/wzzju/pure_fp16 github/fork/xiemoyuan/op_error_message github/fork/xiemoyuan/optimize_error_message github/fork/yaoxuefeng6/fix_doc github/fork/yaoxuefeng6/mod_dataset_v2 github/fork/yongqiangma/lod github/fork/ysh329/fix-clip-by-norm-error github/fork/ysh329/fix-error-clip-by-value github/fork/yukavio/error_info github/fork/zhangting2020/conv_filter_grad github/fork/zhangting2020/is_compile_with_cuda github/fork/zhangting2020/place_doc github/fork/zhangting2020/program github/fork/zhhsplendid/fix_any github/fork/zhhsplendid/refine_api2 github/fork/zhhsplendid/refine_api2_test github/fork/zhhsplendid/refine_api_test_ptb_lm github/fork/zhhsplendid/refine_api_test_resnet github/fork/zhhsplendid/refine_api_test_simnet github/fork/zhiqiu/dev/refine_initializer github/fork/zhiqiu/dev/remove_inplace_argument github/fork/zlsh80826/nvinfer_plugin_var_len_cuda11 improve_sccache incubate/frl_train_eval incubate/infrt incubate/lite inplace_addto layer_norm make_flag_adding_easier matmul_double_grad move_embedding_to_phi move_histogram_to_pten move_sgd_to_phi move_slice_to_pten move_temporal_shift_to_phi move_yolo_box_to_phi npu_fix_alloc numel paddle_tiny_install paralleltest preln_ernie prv-disable-more-cache prv-md-even-more prv-onednn-2.5 prv-reshape-mkldnn-ut2 pten_tensor_refactor release/0.15.0 release/1.0.0 release/1.1 release/1.2 release/1.3 release/1.4 release/1.5 release/1.6 release/1.7 release/1.8 release/2.0 release/2.0-alpha release/2.0-beta release/2.0-rc release/2.0-rc1 release/2.1 release/2.2 release/2.3 release/2.3-fc-ernie-fix release/2.4 release/lite-0.1 revert-24981-add_device_attr_for_regulization revert-26856-strategy_example2 revert-27520-disable_pr revert-31068-fix_conv3d_windows revert-31562-mean revert-32290-develop-hardlabel revert-33037-forci revert-33475-fix_cifar_label_dimension revert-33630-bug-fix revert-34159-add_npu_bce_logical_dev revert-34406-add_copy_from_tensor revert-34910-spinlocks_for_allocator revert-35069-revert-34910-spinlocks_for_allocator revert-36057-dev/read_flags_in_ut revert-36201-refine_fast_threaded_ssa_graph_executor revert-36985-add_license revert-37318-refactor_dygraph_to_eager revert-37926-eager_coreops_500 revert-37956-revert-37727-pylayer_support_tuple revert-38100-mingdong revert-38301-allocation_rearrange_pr revert-38703-numpy_bf16_package_reupload revert-38732-remove_useless_header_in_elementwise_mul_grad revert-38959-Reduce_Grad revert-39143-adjust_empty revert-39227-move_trace_op_to_pten revert-39268-dev/remove_concat_fluid_kernel revert-40170-support_partial_grad revert-41056-revert-40727-move_some_activaion_to_phi revert-41065-revert-40993-mv_ele_floordiv_pow revert-41068-revert-40790-phi_new revert-41944-smaller_inference_api_test revert-42149-do-not-reset-default-stream-for-stream-safe-cuda-allocator revert-43155-fix_ut_tempfile revert-43882-revert-41944-smaller_inference_api_test revert-45808-phi/simplify_size_op revert-46827-deform_comment revert-47325-remove_cudnn_hardcode revert-47645-add_npu_storage_dims revert-48815-set_free_when_no_cache_hit_default_value_true revert-49654-prim_api_gen revert-49763-fix_static_composite_gen rocm_dev_0217 support-0D-sort support_weight_transpose test_benchmark_ci test_feature_precision_test_c test_for_Filtetfiles test_model_benchmark test_model_benchmark_ci zhiqiu-patch-1 v2.4.1 v2.4.0 v2.4.0-rc0 v2.3.2 v2.3.1 v2.3.0 v2.3.0-rc0 v2.2.2 v2.2.1 v2.2.0 v2.2.0-rc0 v2.2.0-bak0 v2.1.3 v2.1.2 v2.1.1 v2.1.0 v2.1.0-rc0 v2.0.2 v2.0.1 v2.0.0 v2.0.0-rc1 v2.0.0-rc0 v2.0.0-beta0 v2.0.0-alpha0 v1.8.5 v1.8.4 v1.8.3 v1.8.2 v1.8.1 v1.8.0 v1.7.2 v1.7.1 v1.7.0 v1.6.3 v1.6.2 v1.6.1 v1.6.0 v1.6.0-rc0 v1.5.2 v1.5.1 v1.5.0 v1.4.1 v1.4.0 v1.3.2 v1.3.1 v1.3.0 v1.2.1 v1.2.0 v1.1.0 v1.0.2 v1.0.1 v1.0.0 v1.0.0-rc0 v0.15.0 v0.15.0-rc0 lite-v0.1
无相关合并请求
......@@ -27,6 +27,8 @@ import paddle.dataset.common
import re
import random
import functools
import six
import paddle.fluid.compat as cpt
__all__ = [
'train', 'test', 'get_movie_title_dict', 'max_movie_id', 'max_user_id',
......@@ -112,6 +114,7 @@ def __initialize_meta_info__():
categories_set = set()
with package.open('ml-1m/movies.dat') as movie_file:
for i, line in enumerate(movie_file):
line = cpt.to_literal_str(line, encoding='latin')
movie_id, title, categories = line.strip().split('::')
categories = categories.split('|')
for c in categories:
......@@ -136,6 +139,7 @@ def __initialize_meta_info__():
USER_INFO = dict()
with package.open('ml-1m/users.dat') as user_file:
for line in user_file:
line = cpt.to_literal_str(line, encoding='latin')
uid, gender, age, job, _ = line.strip().split("::")
USER_INFO[int(uid)] = UserInfo(
index=uid, gender=gender, age=age, job_id=job)
......@@ -148,6 +152,7 @@ def __reader__(rand_seed=0, test_ratio=0.1, is_test=False):
with zipfile.ZipFile(file=fn) as package:
with package.open('ml-1m/ratings.dat') as rating:
for line in rating:
line = cpt.to_literal_str(line, encoding='latin')
if (rand.random() < test_ratio) == is_test:
uid, mov_id, rating, _ = line.strip().split("::")
uid = int(uid)
......@@ -187,7 +192,7 @@ def max_movie_id():
Get the maximum value of movie id.
"""
__initialize_meta_info__()
return reduce(__max_index_info__, list(MOVIE_INFO.values())).index
return six.moves.reduce(__max_index_info__, list(MOVIE_INFO.values())).index
def max_user_id():
......@@ -195,7 +200,7 @@ def max_user_id():
Get the maximum value of user id.
"""
__initialize_meta_info__()
return reduce(__max_index_info__, list(USER_INFO.values())).index
return six.moves.reduce(__max_index_info__, list(USER_INFO.values())).index
def __max_job_id_impl__(a, b):
......@@ -210,7 +215,7 @@ def max_job_id():
Get the maximum value of job id.
"""
__initialize_meta_info__()
return reduce(__max_job_id_impl__, list(USER_INFO.values())).job_id
return six.moves.reduce(__max_job_id_impl__, list(USER_INFO.values())).job_id
def movie_categories():
......
......@@ -62,7 +62,7 @@ def __build_dict(tar_file, dict_size, save_path, lang):
word_dict = defaultdict(int)
with tarfile.open(tar_file, mode="r") as f:
for line in f.extractfile("wmt16/train"):
line_split = line.strip().split("\t")
line_split = line.strip().split(six.b("\t"))
if len(line_split) != 2: continue
sen = line_split[0] if lang == "en" else line_split[1]
for w in sen.split():
......
......@@ -13,39 +13,40 @@
# limitations under the License.
import six
import math
# str and bytes related functions
def to_literal_str(obj):
def to_literal_str(obj, encoding='utf-8'):
if isinstance(obj, list):
return [_to_literal_str(item) for item in obj]
return [_to_literal_str(item, encoding) for item in obj]
elif isinstance(obj, set):
return set([_to_literal_str(item) for item in obj])
return set([_to_literal_str(item, encoding) for item in obj])
else:
return _to_literal_str(obj)
return _to_literal_str(obj, encoding)
def _to_literal_str(obj):
def _to_literal_str(obj, encoding):
if isinstance(obj, six.binary_type):
return obj.decode('utf-8')
return obj.decode(encoding)
elif isinstance(obj, six.text_type):
return obj
else:
return six.u(obj)
def to_bytes(obj):
def to_bytes(obj, encoding='utf-8'):
if isinstance(obj, list):
return [_to_bytes(item) for item in obj]
return [_to_bytes(item, encoding) for item in obj]
elif isinstance(obj, set):
return set([_to_bytes(item) for item in obj])
return set([_to_bytes(item, encoding) for item in obj])
else:
return _to_bytes(obj)
return _to_bytes(obj, encoding)
def _to_bytes(obj):
def _to_bytes(obj, encoding):
if isinstance(obj, six.text_type):
return obj.encode('utf-8')
return obj.encode(encoding)
elif isinstance(obj, six.binary_type):
return obj
else:
......@@ -53,9 +54,6 @@ def _to_bytes(obj):
# math related functions
import math
def round(x, d=0):
"""
Compatible round which act the same behaviour in Python3.
......
......@@ -12,6 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import six
import paddle.fluid.core as core
......@@ -99,6 +100,8 @@ class OpDescCreationMethod(object):
new_attr = op_desc.attrs.add()
new_attr.name = attr.name
new_attr.type = attr.type
if isinstance(user_defined_attr, np.ndarray):
user_defined_attr = user_defined_attr.tolist()
if attr.type == framework_pb2.INT:
new_attr.i = user_defined_attr
elif attr.type == framework_pb2.FLOAT:
......
......@@ -25,7 +25,7 @@ def conv3dtranspose_forward_naive(input_, filter_, attrs):
groups = attrs['groups']
assert in_c == f_c
out_c = f_out_c * groups
sub_in_c = in_c / groups
sub_in_c = in_c // groups
stride, pad, dilations = attrs['strides'], attrs['paddings'], attrs[
'dilations']
......
......@@ -19,7 +19,7 @@ from op_test import OpTest
def maxout_forward_naive(input, groups):
s0, s1, s2, s3 = input.shape
return np.ndarray([s0, s1 / groups, groups, s2, s3], \
return np.ndarray([s0, s1 // groups, groups, s2, s3], \
buffer = input, dtype=input.dtype).max(axis=(2))
......
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