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未验证 提交 9bea154e 编写于 作者: X xsrobin 提交者： GitHub
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add 1.5.1 whl and fix some bugs (#1010) 

* add windows install whl

* whl and bug

* fix some bugs
上级 d00fc500
隐藏空白更改
内联 并排
Showing with 229 addition and 250 deletion
doc/fluid/api_cn/data/data_reader_cn.rst
浏览文件 @ 9bea154e
......@@ -238,7 +238,7 @@ Data Reader Interface
def reader():
while True:
yield numpy.random.uniform(-1, 1, size=width*height)
return reader
return reader
多项目数据读取器创建者的示例实现：
......@@ -249,7 +249,7 @@ Data Reader Interface
def reader():
while True:
yield numpy.random.uniform(-1, 1, size=width*height), label
return reader
return reader
.. py:function:: paddle.reader.map_readers(func, *readers)
......@@ -292,7 +292,7 @@ Data Reader Interface
返回：新的数据读取器
抛出异常： ``ComposeNotAligned`` – reader的输出不一致。 当check_alignment设置为False，不会升高。
抛出异常： ``ComposeNotAligned`` – reader的输出不一致。 当check_alignment设置为False，不会抛出异常。
......@@ -378,22 +378,15 @@ PipeReader通过流从一个命令中读取数据，将它的stdout放到管道
.. py:method:: get_line(cut_lines=True, line_break='\n')
param cut_lines:
cut buffer to lines
type cut_lines: bool
param line_break:
line break of the file, like
or
参数：
- **cut_lines** （bool） - 将缓冲区分行。
- **line_break** （string） - 文件中的行分割符，比如 ‘\\n’ 或者 ‘\\r’。
type line_break:
string
return: one line or a buffer of bytes
返回：一行或者一段缓冲区。
rtype: string
返回类型： string
......
doc/fluid/api_cn/layers_cn/io_cn.rst
浏览文件 @ 9bea154e
......@@ -331,7 +331,7 @@ py_reader
创建一个由在Python端提供数据的reader
该layer返回一个Reader Variable。reader提供了 ``decorate_paddle_reader()`` 和 ``decorate_tensor_provider()`` 来设置Python generator作为数据源。更多细节请参考异步数据读取:ref:`user_guide_use_py_reader`，在c++端调用 ``Executor::Run()`` 时，来自generator的数据将被自动读取。与 ``DataFeeder.feed()`` 不同，数据读取进程和 ``Executor::Run()`` 进程可以使用 ``py_reader`` 并行运行。reader的 ``start()`` 方法应该在每次数据传递开始时调用，在传递结束和抛出 ``fluid.core.EOFException`` 后执行 ``reset()`` 方法。注意， ``Program.clone()`` 方法不能克隆 ``py_reader`` 。
该layer返回一个Reader Variable。reader提供了 ``decorate_paddle_reader()`` 和 ``decorate_tensor_provider()`` 来设置Python generator作为数据源。更多细节请参考 :ref:`user_guides_use_py_reader`，在c++端调用 ``Executor::Run()`` 时，来自generator的数据将被自动读取。与 ``DataFeeder.feed()`` 不同，数据读取进程和 ``Executor::Run()`` 进程可以使用 ``py_reader`` 并行运行。reader的 ``start()`` 方法应该在每次数据传递开始时调用，在传递结束和抛出 ``fluid.core.EOFException`` 后执行 ``reset()`` 方法。注意， ``Program.clone()`` 方法不能克隆 ``py_reader`` 。
参数:
- **capacity** (int) – ``py_reader`` 维护的缓冲区容量
......
doc/fluid/api_cn/optimizer_cn.rst
浏览文件 @ 9bea154e
......@@ -349,84 +349,6 @@ DGC还使用动量因子掩藏(momentum factor masking)和预训练(warm-up)来
.. _cn_api_fluid_optimizer_PipelineOptimizer:
PipelineOptimizer
-------------------------------
.. py:class:: paddle.fluid.optimizer.PipelineOptimizer(optimizer, cut_list=None, place_list=None, concurrency_list=None, queue_size=30, sync_steps=1, start_cpu_core_id=0)
Pipeline 优化器训练。该程序将由cut_list分割。如果cut_list的长度是k，则整个程序（包括向后部分）将被分割为2 * k-1个部分。 所以place_list和concurrency_list的长度也必须是2 * k-1。
.. note::
虽然异步模式应用于管道训练中以加速，但最终的性能取决于每个管道的训练进度。 我们将在未来尝试同步模式。
参数:
- **optimizer** (Optimizer) - 基础优化器，如SGD
- **cut_list** (list of Variable list) - main_program的cut变量
- **place_lis** (list of Place) - 某部分运行的位置
- **concurrency_lis** (list of int) - 并发度
- **queue_size** (int) - 每个部分都将使用其范围内队列(in-scope queue)中的范围并将范围生成到范围外队列(out-scope queue)。 而这个参数定范围队列大小。 这一参数可选，默认值：30。
- **sync_steps** (int) - 不同显卡之间的同步步数
- **start_cpu_core_id** (int) - 设置第一个cpu核的id。这一参数可选，默认值：0。
**代码示例**
.. code-block:: python
x = fluid.layers.data(name='x', shape=[1], dtype='int64', lod_level=0)
y = fluid.layers.data(name='y', shape=[1], dtype='int64', lod_level=0)
emb_x = layers.embedding(input=x, param_attr=fluid.ParamAttr(name="embx"), size=[10,2], is_sparse=False)
emb_y = layers.embedding(input=y, param_attr=fluid.ParamAttr(name="emby",learning_rate=0.9), size=[10,2], is_sparse=False)
concat = layers.concat([emb_x, emb_y], axis=1)
fc = layers.fc(input=concat, name="fc", size=1, num_flatten_dims=1, bias_attr=False)
loss = layers.reduce_mean(fc)
optimizer = fluid.optimizer.SGD(learning_rate=0.5)
optimizer = fluid.optimizer.PipelineOptimizer(optimizer,
cut_list=[[emb_x, emb_y], [loss]],
place_list=[fluid.CPUPlace(), fluid.CUDAPlace(0), fluid.CPUPlace()],
concurrency_list=[1, 1, 4],
queue_size=2,
sync_steps=1,
)
optimizer.minimize(loss)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
filelist = [] # 您应该根据需求自行设置文件列表, 如: filelist = ["dataA.txt"]
dataset = fluid.DatasetFactory().create_dataset("FileInstantDataset")
dataset.set_use_var([x,y])
dataset.set_batch_size(batch_size)
dataset.set_filelist(filelist)
exe.train_from_dataset(
fluid.default_main_program(),
dataset,
thread=2,
debug=False,
fetch_list=[],
fetch_info=[],
print_period=1)
.. py:method:: extract_section_opt_ops(ops, cut_point_name)
获取指定section的优化算子(opt ops)
.. py:method:: extract_section_opt_ops(ops, cut_point_name)
获取指定section的输入和输出
.. py:method:: find_persistable_vars(ops, whole_parameters)
获取指定section的持久性输入变量
.. py:method:: extract_section_ops(ops, cut_point_name)
获取指定的section的算子(ops)
.. _cn_api_fluid_optimizer_ExponentialMovingAverage:
ExponentialMovingAverage
......@@ -859,6 +781,70 @@ MomentumOptimizer
.. _cn_api_fluid_optimizer_PipelineOptimizer:
PipelineOptimizer
-------------------------------
.. py:class:: paddle.fluid.optimizer.PipelineOptimizer(optimizer, cut_list=None, place_list=None, concurrency_list=None, queue_size=30, sync_steps=1, start_cpu_core_id=0)
使用流水线模式进行训练。
Program会根据切分列表cut_list进行分割。如果cut_list的长度是k，则整个program（包括反向部分）将被分割为2*k-1个section。 所以place_list和concurrency_list的长度也必须是2*k-1。
.. note::
虽然我们在流水线训练模式中采用异步更新的方式来加速，但最终的效果会依赖于每条流水线的训练进程。我们将在未来尝试同步模式。
参数:
- **optimizer** (Optimizer) - 基础优化器，如SGD
- **cut_list** (list of Variable list) - main_program的cut变量列表
- **place_list** (list of Place) - 对应section运行所在的place
- **concurrency_list** (list of int) - 指定每个section的并发度列表
- **queue_size** (int) - 每个section都会消费其输入队列(in-scope queue)中的scope，并向输出队列(out-scope queue)产出scope。 此参数的作用就是指定队列的大小。 可选，默认值：30
- **sync_steps** (int) - 不同显卡之间的同步周期数。可选，默认值：1
- **start_cpu_core_id** (int) - 指定所使用的第一个CPU核的id。可选，默认值：0
**代码示例**
.. code-block:: python
import paddle.fluid as fluid
import paddle.fluid.layers as layers
x = fluid.layers.data(name='x', shape=[1], dtype='int64', lod_level=0)
y = fluid.layers.data(name='y', shape=[1], dtype='int64', lod_level=0)
emb_x = layers.embedding(input=x, param_attr=fluid.ParamAttr(name="embx"), size=[10,2], is_sparse=False)
emb_y = layers.embedding(input=y, param_attr=fluid.ParamAttr(name="emby",learning_rate=0.9), size=[10,2], is_sparse=False)
concat = layers.concat([emb_x, emb_y], axis=1)
fc = layers.fc(input=concat, name="fc", size=1, num_flatten_dims=1, bias_attr=False)
loss = layers.reduce_mean(fc)
optimizer = fluid.optimizer.SGD(learning_rate=0.5)
optimizer = fluid.optimizer.PipelineOptimizer(optimizer,
cut_list=[[emb_x, emb_y], [loss]],
place_list=[fluid.CPUPlace(), fluid.CUDAPlace(0), fluid.CPUPlace()],
concurrency_list=[1, 1, 4],
queue_size=2,
sync_steps=1,
)
optimizer.minimize(loss)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
filelist = [] # you should set your own filelist, e.g. filelist = ["dataA.txt"]
dataset = fluid.DatasetFactory().create_dataset("FileInstantDataset")
dataset.set_use_var([x,y])
dataset.set_batch_size(batch_size)
dataset.set_filelist(filelist)
exe.train_from_dataset(
fluid.default_main_program(),
dataset,
thread=2,
debug=False,
fetch_list=[],
fetch_info=[],
print_period=1)
.. _cn_api_fluid_optimizer_RMSPropOptimizer:
......
doc/fluid/beginners_guide/install/Tables.md
浏览文件 @ 9bea154e
......@@ -212,16 +212,16 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
</thead>
<tbody>
<tr>
<td> paddlepaddle==[版本号] 例如 paddlepaddle==1.5.0 </td>
<td> paddlepaddle==[版本号] 例如 paddlepaddle==1.5.1 </td>
<td> 只支持CPU对应版本的PaddlePaddle，具体版本请参见<a href=https://pypi.org/project/paddlepaddle/#history>Pypi</a> </td>
</tr>
<tr>
<td> paddlepaddle-gpu==1.5.0 </td>
<td> 使用CUDA 9.0和cuDNN 7编译的1.5.0版本 </td>
<td> paddlepaddle-gpu==1.5.1 </td>
<td> 使用CUDA 9.0和cuDNN 7编译的1.5.1版本 </td>
</tr>
<tr>
<td> paddlepaddle-gpu==1.5.0.post87 </td>
<td> 使用CUDA 8.0和cuDNN 7编译的1.5.0版本 </td>
<td> paddlepaddle-gpu==1.5.1.post87 </td>
<td> 使用CUDA 8.0和cuDNN 7编译的1.5.1版本 </td>
</tr>
</tbody>
</table>
......@@ -253,110 +253,110 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda8-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda8-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda8_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp37-cp37m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
</tbody>
</table>
......
doc/fluid/beginners_guide/install/Tables_en.md
浏览文件 @ 9bea154e
......@@ -239,16 +239,16 @@ PaddePaddle implements references to various BLAS/CUDA/cuDNN libraries by specif
</thead>
<tbody>
<tr>
<td> paddlepaddle==[version code] such as paddlepaddle==1.5.0 </td>
<td> paddlepaddle==[version code] such as paddlepaddle==1.5.1 </td>
<td> Only support the corresponding version of the CPU PaddlePaddle, please refer to <a href=https://pypi.org/project/paddlepaddle/#history>Pypi</a> for the specific version. </td>
</tr>
<tr>
<td> paddlepaddle-gpu==1.5.0 </td>
<td> Using version 1.5.0 compiled with CUDA 9.0 and cuDNN 7 </td>
<td> paddlepaddle-gpu==1.5.1 </td>
<td> Using version 1.5.1 compiled with CUDA 9.0 and cuDNN 7 </td>
</tr>
<tr>
<td> paddlepaddle-gpu==1.5.0.post87 </td>
<td> Using version 1.5.0 compiled with CUDA 8.0 and cuDNN 7 </td>
<td> paddlepaddle-gpu==1.5.1.post87 </td>
<td> Using version 1.5.1 compiled with CUDA 8.0 and cuDNN 7 </td>
</tr>
</tbody>
</table>
......@@ -319,110 +319,110 @@ You can find the docker image for each release of PaddlePaddle in the [DockerHub
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mkl/paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mkl/paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-openblas/paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-openblas/paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda8-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-openblas/paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda8-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post87-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda8-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post87-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.0.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.5.1-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.5.1.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle-1.5.0-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle-1.5.1-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda8_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post87-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post87-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-win-open/paddlepaddle_gpu-1.5.0.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.0-cp37-cp37m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-win-open/paddlepaddle_gpu-1.5.1.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.5.1-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.0-cpu-mac/paddlepaddle-1.5.0-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.5.0-cp37-cp37m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.5.1-cpu-mac/paddlepaddle-1.5.1-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.5.1-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
</tbody>
</table>
......
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