Skip to content

Commit 231d3a8

Browse files
author
ranqiu
committed
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into doc
2 parents a9de00a + f3cdeb9 commit 231d3a8

File tree

84 files changed

+3268
-1649
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

84 files changed

+3268
-1649
lines changed

‎benchmark/cluster/vgg16/vgg16_fluid.py

Lines changed: 20 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -1,11 +1,11 @@
11
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
2-
#
2+
#
33
# Licensed under the Apache License, Version 2.0 (the "License");
44
# you may not use this file except in compliance with the License.
55
# You may obtain a copy of the License at
6-
#
6+
#
77
# http://www.apache.org/licenses/LICENSE-2.0
8-
#
8+
#
99
# Unless required by applicable law or agreed to in writing, software
1010
# distributed under the License is distributed on an "AS IS" BASIS,
1111
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
@@ -138,13 +138,14 @@ def main():
138138
avg_cost = fluid.layers.mean(x=cost)
139139

140140
# Evaluator
141-
accuracy = fluid.evaluator.Accuracy(input=predict, label=label)
141+
batch_size = fluid.layers.create_tensor(dtype='int64')
142+
batch_acc = fluid.layers.accuracy(
143+
input=predict, label=label, total=batch_size)
142144

143145
# inference program
144146
inference_program = fluid.default_main_program().clone()
145147
with fluid.program_guard(inference_program):
146-
test_target = accuracy.metrics + accuracy.states
147-
inference_program = fluid.io.get_inference_program(test_target)
148+
inference_program = fluid.io.get_inference_program(batch_acc)
148149

149150
# Optimization
150151
optimizer = fluid.optimizer.Adam(learning_rate=args.learning_rate)
@@ -157,27 +158,30 @@ def main():
157158

158159
# test
159160
def test(exe):
160-
accuracy.reset(exe)
161+
test_pass_acc = fluid.average.WeightedAverage()
161162
for batch_id, data in enumerate(test_reader()):
162163
img_data = np.array(map(lambda x: x[0].reshape(data_shape),
163164
data)).astype("float32")
164165
y_data = np.array(map(lambda x: x[1], data)).astype("int64")
165166
y_data = y_data.reshape([-1, 1])
166167

167-
exe.run(inference_program,
168-
feed={"pixel": img_data,
169-
"label": y_data})
168+
outs = exe.run(inference_program,
169+
feed={"pixel": img_data,
170+
"label": y_data},
171+
fetch_list=[batch_acc, batch_size])
172+
test_pass_acc.add(value=np.array(outs[0]), weight=np.array(outs[1]))
170173

171-
return accuracy.eval(exe)
174+
return test_pass_acc.eval()
172175

173176
def train_loop(exe, trainer_prog):
174177
iters = 0
175178
ts = time.time()
179+
train_pass_acc = fluid.average.WeightedAverage()
176180
for pass_id in range(args.num_passes):
177181
# train
178182
start_time = time.time()
179183
num_samples = 0
180-
accuracy.reset(exe)
184+
train_pass_acc.reset()
181185
with profiler.profiler("CPU", 'total') as prof:
182186
for batch_id, data in enumerate(train_reader()):
183187
ts = time.time()
@@ -187,21 +191,22 @@ def train_loop(exe, trainer_prog):
187191
y_data = np.array(map(lambda x: x[1], data)).astype("int64")
188192
y_data = y_data.reshape([-1, 1])
189193

190-
loss, acc = exe.run(
194+
loss, acc, b_size = exe.run(
191195
trainer_prog,
192196
feed={"pixel": img_data,
193197
"label": y_data},
194-
fetch_list=[avg_cost] + accuracy.metrics)
198+
fetch_list=[avg_cost, batch_acc, batch_size])
195199
iters += 1
196200
num_samples += len(data)
201+
train_pass_acc.add(value=acc, weight=b_size)
197202
print(
198203
"Pass = %d, Iters = %d, Loss = %f, Accuracy = %f, Speed = %.2f img/s"
199204
% (pass_id, iters, loss, acc,
200205
len(data) / (time.time() - ts))
201206
) # The accuracy is the accumulation of batches, but not the current batch.
202207

203208
pass_elapsed = time.time() - start_time
204-
pass_train_acc = accuracy.eval(exe)
209+
pass_train_acc = train_pass_acc.eval()
205210
pass_test_acc = test(exe)
206211
print(
207212
"Pass = %d, Training performance = %f imgs/s, Train accuracy = %f, Test accuracy = %f\n"

‎cmake/external/openblas.cmake

Lines changed: 2 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -77,7 +77,8 @@ IF(NOT ${CBLAS_FOUND})
7777
INSTALL_DIR ${CBLAS_INSTALL_DIR}
7878
BUILD_IN_SOURCE 1
7979
BUILD_COMMAND ${CMAKE_MAKE_PROGRAM} ${COMMON_ARGS} ${OPTIONAL_ARGS}
80-
INSTALL_COMMAND ${CMAKE_MAKE_PROGRAM} install NO_SHARED=1 NO_LAPACK=1 PREFIX=<INSTALL_DIR>
80+
INSTALL_COMMAND ${CMAKE_MAKE_PROGRAM} install NO_SHARED=1 NO_LAPACK=1 PREFIX=<INSTALL_DIR>
81+
&& rm -r ${CBLAS_INSTALL_DIR}/lib/cmake ${CBLAS_INSTALL_DIR}/lib/pkgconfig
8182
UPDATE_COMMAND ""
8283
CONFIGURE_COMMAND ""
8384
)
@@ -100,11 +101,6 @@ IF(NOT ${CBLAS_FOUND})
100101
\"${CBLAS_INSTALL_DIR}/lib -> ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}\"
101102
)"
102103
)
103-
INSTALL(CODE "execute_process(
104-
COMMAND rm -r ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/cmake
105-
${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/pkgconfig
106-
)"
107-
)
108104
ENDIF()
109105
ENDIF(NOT ${CBLAS_FOUND})
110106

‎cmake/external/snappy.cmake

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -39,6 +39,7 @@ ExternalProject_Add(
3939
-DCMAKE_INSTALL_LIBDIR=${SNAPPY_INSTALL_DIR}/lib
4040
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
4141
-DBUILD_TESTING=OFF
42+
-DSNAPPY_BUILD_TESTS:BOOL=OFF
4243
-DCMAKE_BUILD_TYPE=${THIRD_PARTY_BUILD_TYPE}
4344
${EXTERNAL_OPTIONAL_ARGS}
4445
CMAKE_CACHE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${SNAPPY_INSTALL_DIR}

‎cmake/generic.cmake

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -186,7 +186,9 @@ function(cc_library TARGET_NAME)
186186
add_library(${TARGET_NAME} SHARED ${cc_library_SRCS})
187187
else()
188188
add_library(${TARGET_NAME} STATIC ${cc_library_SRCS})
189+
find_fluid_modules(${TARGET_NAME})
189190
endif()
191+
190192
if(cc_library_DEPS)
191193
# Don't need link libwarpctc.so
192194
if("${cc_library_DEPS};" MATCHES "warpctc;")
@@ -263,7 +265,8 @@ function(nv_library TARGET_NAME)
263265
if (nv_library_SHARED OR nv_library_shared) # build *.so
264266
cuda_add_library(${TARGET_NAME} SHARED ${nv_library_SRCS})
265267
else()
266-
cuda_add_library(${TARGET_NAME} STATIC ${nv_library_SRCS})
268+
cuda_add_library(${TARGET_NAME} STATIC ${nv_library_SRCS})
269+
find_fluid_modules(${TARGET_NAME})
267270
endif()
268271
if (nv_library_DEPS)
269272
add_dependencies(${TARGET_NAME} ${nv_library_DEPS})

‎cmake/inference_lib.cmake

Lines changed: 27 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1,9 +1,22 @@
1+
set_property(GLOBAL PROPERTY FLUID_MODULES "")
2+
# find all fluid modules is used for paddle fluid static library
3+
function(find_fluid_modules TARGET_NAME)
4+
get_filename_component(__target_path ${TARGET_NAME} ABSOLUTE)
5+
string(FIND "${__target_path}" "fluid" pos)
6+
if(pos GREATER 1)
7+
get_property(fluid_modules GLOBAL PROPERTY FLUID_MODULES)
8+
set(fluid_modules ${fluid_modules} ${TARGET_NAME})
9+
set_property(GLOBAL PROPERTY FLUID_MODULES "${fluid_modules}")
10+
endif()
11+
endfunction(find_fluid_modules)
12+
113
# make package for paddle fluid shared and static library
214
function(copy TARGET)
315
set(options "")
416
set(oneValueArgs "")
517
set(multiValueArgs SRCS DSTS DEPS)
618
cmake_parse_arguments(copy_lib "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
19+
set(inference_lib_dist_dep ${TARGET} ${inference_lib_dist_dep} PARENT_SCOPE)
720

821
list(LENGTH copy_lib_SRCS copy_lib_SRCS_len)
922
list(LENGTH copy_lib_DSTS copy_lib_DSTS_len)
@@ -42,13 +55,21 @@ copy(glog_lib
4255
DSTS ${dst_dir} ${dst_dir}/lib
4356
)
4457

45-
IF(NOT PROTOBUF_FOUND)
58+
if(NOT PROTOBUF_FOUND)
4659
set(dst_dir "${CMAKE_INSTALL_PREFIX}/third_party/install/protobuf")
4760
copy(protobuf_lib
48-
SRCS ${PROTOBUF_INCLUDE_DIR} ${PROTOBUF_LITE_LIBRARY}
61+
SRCS ${PROTOBUF_INCLUDE_DIR} ${PROTOBUF_LIBRARY}
4962
DSTS ${dst_dir} ${dst_dir}/lib
5063
)
51-
ENDIF(NOT PROTOBUF_FOUND)
64+
endif()
65+
66+
if(NOT CBLAS_FOUND)
67+
set(dst_dir "${CMAKE_INSTALL_PREFIX}/third_party/install/openblas")
68+
copy(openblas_lib
69+
SRCS ${CBLAS_INSTALL_DIR}/lib ${CBLAS_INSTALL_DIR}/include
70+
DSTS ${dst_dir} ${dst_dir}
71+
)
72+
endif()
5273

5374
# paddle fluid module
5475
set(src_dir "${PADDLE_SOURCE_DIR}/paddle/fluid")
@@ -66,8 +87,8 @@ copy(memory_lib
6687
)
6788

6889
set(module "inference")
69-
copy(inference_lib DEPENDS paddle_fluid_shared
70-
SRCS ${src_dir}/${module}/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/inference/libpaddle_fluid.so
90+
copy(inference_lib DEPS paddle_fluid_shared paddle_fluid
91+
SRCS ${src_dir}/${module}/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/inference/libpaddle_fluid.*
7192
DSTS ${dst_dir}/${module} ${dst_dir}/${module}
7293
)
7394

@@ -83,6 +104,4 @@ copy(string_lib
83104
DSTS ${dst_dir}/${module} ${dst_dir}/${module}/tinyformat
84105
)
85106

86-
add_custom_target(inference_lib_dist DEPENDS
87-
inference_lib framework_lib memory_lib platform_lib string_lib
88-
gflags_lib glog_lib protobuf_lib eigen3_lib)
107+
add_custom_target(inference_lib_dist DEPENDS ${inference_lib_dist_dep})

‎doc/fluid/howto/optimization/timeline.jpeg

69 KB
Loading

‎doc/fluid/howto/optimization/timeline.md

Lines changed: 27 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,27 @@
1+
## how to use timeline tool to do profile
2+
3+
1. Add `with profiler.profiler(...)` to the main training loop. After run, the code will generate a profile record file `/tmp/profile`. **Warning**: Please do not run too many batches when use profiler to record timeline information, for the profile record will grow with the batch number.
4+
5+
```python
6+
with profiler.profiler('All', 'total', '/tmp/profile') as prof:
7+
for pass_id in range(pass_num):
8+
for batch_id, data in enumerate(train_reader()):
9+
exe.run(fluid.default_main_program(),
10+
feed=feeder.feed(data),
11+
fetch_list=[],
12+
use_program_cache=True)
13+
...
14+
```
15+
16+
1. Run `python paddle/tools/timeline.py` to process `/tmp/profile`, it will generate another
17+
file `/tmp/timeline` by default. You can change the path by cmd parameter, please take a look at
18+
[timeline.py](https://github.com/PaddlePaddle/Paddle/blob/develop/tools/timeline.py) for details.
19+
20+
1. Open chrome and visit <chrome://tracing/>, use `load` button to load the generated `timeline` file.
21+
22+
![chrome tracing](./tracing.jpeg)
23+
24+
1. The resulting timeline should be like:
25+
26+
27+
![chrome timeline](./timeline.jpeg)

‎doc/fluid/howto/optimization/tracing.jpeg

29.9 KB
Loading

‎doc/v2/build_and_install/pip_install_cn.rst

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -39,7 +39,7 @@ PaddlePaddle可以使用常用的Python包管理工具
3939

4040
"cpu_avx_mkl", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4141
"cpu_avx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "暂无"
42-
"cpu_noavx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "暂无"
42+
"cpu_noavx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddle.tgz>`_"
4343
"cuda7.5_cudnn5_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4444
"cuda8.0_cudnn5_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4545
"cuda8.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddle.tgz>`_"

‎doc/v2/build_and_install/pip_install_en.rst

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -42,7 +42,7 @@ If the links below shows up the login form, just click "Log in as guest" to star
4242

4343
"cpu_avx_mkl", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4444
"cpu_avx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "Not Available"
45-
"cpu_noavx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "Not Available"
45+
"cpu_noavx_openblas", "`paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddle.tgz>`_"
4646
"cuda7.5_cudnn5_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4747
"cuda8.0_cudnn5_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz>`_"
4848
"cuda8.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl>`_", "`paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl>`_", "`paddle.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddle.tgz>`_"

0 commit comments

Comments
 (0)