test=release1.3

Dockerfile

@@ -75,7 +75,7 @@ RUN curl -s -q https://glide.sh/get | sh
 #    and its size is only one-third of the official one.
 # 2. Manually add ~IPluginFactory() in IPluginFactory class of NvInfer.h, otherwise, it couldn't work in paddle.
 #    See https://github.com/PaddlePaddle/Paddle/issues/10129 for details.
-RUN wget -qO- http://paddlepaddledeps.cdn.bcebos.com/TensorRT-4.0.0.3.Ubuntu-16.04.4.x86_64-gnu.cuda-8.0.cudnn7.0.tar.gz | \
+RUN wget -qO- http://paddlepaddledeps.bj.bcebos.com/TensorRT-4.0.0.3.Ubuntu-16.04.4.x86_64-gnu.cuda-8.0.cudnn7.0.tar.gz | \
     tar -xz -C /usr/local && \
     cp -rf /usr/local/TensorRT/include /usr && \
     cp -rf /usr/local/TensorRT/lib /usr

cmake/external/boost.cmake

@@ -24,7 +24,7 @@ set(BOOST_PROJECT       "extern_boost")
 # So we use 1.41.0 here.
 set(BOOST_VER           "1.41.0")
 set(BOOST_TAR "boost_1_41_0" CACHE STRING "" FORCE)
-set(BOOST_URL "http://paddlepaddledeps.cdn.bcebos.com/${BOOST_TAR}.tar.gz" CACHE STRING "" FORCE)
+set(BOOST_URL "http://paddlepaddledeps.bj.bcebos.com/${BOOST_TAR}.tar.gz" CACHE STRING "" FORCE)
 
 MESSAGE(STATUS "BOOST_TAR: ${BOOST_TAR}, BOOST_URL: ${BOOST_URL}")
 

cmake/external/grpc.cmake

@@ -44,7 +44,7 @@ ExternalProject_Add(
     # 3. keep only zlib, cares, protobuf, boringssl under "third_party",
     #    checkout and clean other dirs under third_party
     # 4. remove .git, and package the directory.
-    URL "http://paddlepaddledeps.cdn.bcebos.com/grpc-v1.10.x.tar.gz"
+    URL "http://paddlepaddledeps.bj.bcebos.com/grpc-v1.10.x.tar.gz"
     URL_MD5  "1f268a2aff6759839dccd256adcc91cf"
     PREFIX          ${GRPC_SOURCES_DIR}
     UPDATE_COMMAND  ""

cmake/external/mklml.cmake

@@ -34,14 +34,14 @@ SET(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_RPATH}" "${MKLML_ROOT}/lib")
 SET(TIME_VERSION "2019.0.1.20181227")
 IF(WIN32)
     SET(MKLML_VER "mklml_win_${TIME_VERSION}" CACHE STRING "" FORCE)
-    SET(MKLML_URL "https://paddlepaddledeps.cdn.bcebos.com/${MKLML_VER}.zip" CACHE STRING "" FORCE)
+    SET(MKLML_URL "https://paddlepaddledeps.bj.bcebos.com/${MKLML_VER}.zip" CACHE STRING "" FORCE)
     SET(MKLML_LIB                 ${MKLML_LIB_DIR}/mklml.lib)
     SET(MKLML_IOMP_LIB            ${MKLML_LIB_DIR}/libiomp5md.lib)
     SET(MKLML_SHARED_LIB          ${MKLML_LIB_DIR}/mklml.dll)
     SET(MKLML_SHARED_IOMP_LIB     ${MKLML_LIB_DIR}/libiomp5md.dll)
 ELSE()  
     SET(MKLML_VER "mklml_lnx_${TIME_VERSION}" CACHE STRING "" FORCE)
-    SET(MKLML_URL "http://paddlepaddledeps.cdn.bcebos.com/${MKLML_VER}.tgz" CACHE STRING "" FORCE)
+    SET(MKLML_URL "http://paddlepaddledeps.bj.bcebos.com/${MKLML_VER}.tgz" CACHE STRING "" FORCE)
     SET(MKLML_LIB                 ${MKLML_LIB_DIR}/libmklml_intel.so)
     SET(MKLML_IOMP_LIB            ${MKLML_LIB_DIR}/libiomp5.so)
     SET(MKLML_SHARED_LIB          ${MKLML_LIB_DIR}/libmklml_intel.so)

paddle/fluid/inference/api/demo_ci/run.sh

@@ -27,7 +27,7 @@ if [ -d "$TENSORRT_INCLUDE_DIR" -a -d "$TENSORRT_LIB_DIR" ]; then
 fi
 
 PREFIX=inference-vis-demos%2F
-URL_ROOT=http://paddlemodels.cdn.bcebos.com/${PREFIX}
+URL_ROOT=http://paddlemodels.bj.bcebos.com/${PREFIX}
 
 # download vis_demo data
 function download() {

paddle/fluid/inference/tests/api/CMakeLists.txt

@@ -105,14 +105,14 @@ inference_analysis_api_test(test_analyzer_seq_conv1 ${SEQ_CONV1_INSTALL_DIR} ana
 # ocr
 set(OCR_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/ocr")
 if (NOT EXISTS ${OCR_INSTALL_DIR})
-    inference_download_and_uncompress(${OCR_INSTALL_DIR} "http://paddlemodels.cdn.bcebos.com/" "inference-vis-demos%2Focr.tar.gz")
+    inference_download_and_uncompress(${OCR_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos%2Focr.tar.gz")
 endif()
 inference_analysis_api_test_with_refer_result(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc SERIAL)
 
 # mobilenet with transpose op
 set(MOBILENET_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet")
 if (NOT EXISTS ${MOBILENET_INSTALL_DIR})
-    inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddlemodels.cdn.bcebos.com/" "inference-vis-demos%2Fmobilenet.tar.gz")
+    inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos%2Fmobilenet.tar.gz")
 endif()
 inference_analysis_api_test_with_refer_result(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc SERIAL)
 

paddle/fluid/inference/tests/test.cmake

-set(INFERENCE_URL "http://paddle-inference-dist.cdn.bcebos.com" CACHE STRING "inference download url")
+set(INFERENCE_URL "http://paddle-inference-dist.bj.bcebos.com" CACHE STRING "inference download url")
 set(INFERENCE_DEMO_INSTALL_DIR "${THIRD_PARTY_PATH}/inference_demo" CACHE STRING
     "A path setting inference demo download directories.")
 function (inference_download install_dir url filename)

python/paddle/dataset/flowers.py

@@ -46,9 +46,9 @@ import six
 from six.moves import cPickle as pickle
 __all__ = ['train', 'test', 'valid']
 
-DATA_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/102flowers.tgz'
-LABEL_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/imagelabels.mat'
-SETID_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/setid.mat'
+DATA_URL = 'http://paddlemodels.bj.bcebos.com/flowers/102flowers.tgz'
+LABEL_URL = 'http://paddlemodels.bj.bcebos.com/flowers/imagelabels.mat'
+SETID_URL = 'http://paddlemodels.bj.bcebos.com/flowers/setid.mat'
 DATA_MD5 = '52808999861908f626f3c1f4e79d11fa'
 LABEL_MD5 = 'e0620be6f572b9609742df49c70aed4d'
 SETID_MD5 = 'a5357ecc9cb78c4bef273ce3793fc85c'

python/paddle/dataset/wmt14.py

@@ -15,7 +15,7 @@
 WMT14 dataset.
 The original WMT14 dataset is too large and a small set of data for set is
 provided. This module will download dataset from
-http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz and
+http://paddlepaddle.bj.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz and
 parse training set and test set into paddle reader creators.
 
 """

python/paddle/fluid/contrib/int8_inference/README.md

@@ -54,7 +54,7 @@ We provide the results of accuracy measurd on [Intel® Xeon® Platinum Gold Proc
 | ResNet-50  | Full ImageNet Val  |  76.63%  | 76.17%  | 0.46% |
 | MobileNet-V1 | Full ImageNet Val  | 70.78%  | 70.49%  | 0.29%  |
 
-Please note that [Small](http://paddle-inference-dist.cdn.bcebos.com/int8/calibration_test_data.tar.gz "Small") is a subset of [full ImageNet validation dataset](http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_val.tar "full ImageNet validation dataset"). 
+Please note that [Small](http://paddle-inference-dist.bj.bcebos.com/int8/calibration_test_data.tar.gz "Small") is a subset of [full ImageNet validation dataset](http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_val.tar "full ImageNet validation dataset"). 
 
 Notes:
 * The accuracy measurement requires the model with `label`.

python/paddle/fluid/contrib/tests/test_calibration.py

@@ -136,7 +136,7 @@ class TestCalibrationForResnet50(unittest.TestCase):
                                                         "full_data", False)
         else:
             data_urls.append(
-                'http://paddle-inference-dist.cdn.bcebos.com/int8/calibration_test_data.tar.gz'
+                'http://paddle-inference-dist.bj.bcebos.com/int8/calibration_test_data.tar.gz'
             )
             data_md5s.append('1b6c1c434172cca1bf9ba1e4d7a3157d')
             self.data_cache_folder = self.download_data(data_urls, data_md5s,
@@ -189,7 +189,7 @@ class TestCalibrationForResnet50(unittest.TestCase):
     def download_model(self):
         # resnet50 fp32 data
         data_urls = [
-            'http://paddle-inference-dist.cdn.bcebos.com/int8/resnet50_int8_model.tar.gz'
+            'http://paddle-inference-dist.bj.bcebos.com/int8/resnet50_int8_model.tar.gz'
         ]
         data_md5s = ['4a5194524823d9b76da6e738e1367881']
         self.model_cache_folder = self.download_data(data_urls, data_md5s,
@@ -307,7 +307,7 @@ class TestCalibrationForMobilenetv1(TestCalibrationForResnet50):
     def download_model(self):
         # mobilenetv1 fp32 data
         data_urls = [
-            'http://paddle-inference-dist.cdn.bcebos.com/int8/mobilenetv1_int8_model.tar.gz'
+            'http://paddle-inference-dist.bj.bcebos.com/int8/mobilenetv1_int8_model.tar.gz'
         ]
         data_md5s = ['13892b0716d26443a8cdea15b3c6438b']
         self.model_cache_folder = self.download_data(data_urls, data_md5s,

python/paddle/fluid/tests/unittests/dist_ctr_reader.py

@@ -20,7 +20,7 @@ logging.basicConfig()
 logger = logging.getLogger("paddle")
 logger.setLevel(logging.INFO)
 
-DATA_URL = "http://paddle-ctr-data.cdn.bcebos.com/avazu_ctr_data.tgz"
+DATA_URL = "http://paddle-ctr-data.bj.bcebos.com/avazu_ctr_data.tgz"
 DATA_MD5 = "c11df99fbd14e53cd4bfa6567344b26e"
 """
 avazu_ctr_data/train.txt

python/paddle/fluid/tests/unittests/test_dist_transformer.py

@@ -21,7 +21,7 @@ from test_dist_base import TestDistBase
 
 
 def download_files():
-    url_prefix = 'http://paddle-unittest-data.cdn.bcebos.com/dist_transformer/'
+    url_prefix = 'http://paddle-unittest-data.bj.bcebos.com/dist_transformer/'
     vocab_url = url_prefix + 'vocab.bpe.32000'
     vocab_md5 = 'a86d345ca6e27f6591d0dccb1b9be853'
     paddle.dataset.common.download(vocab_url, 'test_dist_transformer',