提交 b8a70bcd 编写于 作者: Y yaoxuefeng

add paddle.enable_static

上级 7403c6d9
......@@ -16,6 +16,7 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
.. py:method:: init(**kwargs)
......@@ -49,6 +50,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
import paddle
import paddle.fluid as fluid
import os
paddle.enable_static()
with open("test_queue_dataset_run_a.txt", "w") as f:
data = "2 1 2 2 5 4 2 2 7 2 1 3\n"
data += "2 6 2 2 1 4 2 2 4 2 2 3\n"
......@@ -120,6 +124,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
dataset.init(
batch_size=1,
......@@ -168,6 +175,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
dataset.init(
batch_size=1,
......@@ -193,6 +203,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
import paddle
import os
paddle.enable_static()
with open("test_queue_dataset_run_a.txt", "w") as f:
data = "2 1 2 2 5 4 2 2 7 2 1 3\n"
data += "2 6 2 2 1 4 2 2 4 2 2 3\n"
......@@ -240,6 +253,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -269,6 +285,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -296,6 +315,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -323,6 +345,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -352,6 +377,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -383,6 +411,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -424,6 +455,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
slots_vars = []
......@@ -460,6 +494,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
dataset = paddle.distributed.InMemoryDataset()
slots = ["slot1", "slot2", "slot3", "slot4"]
......@@ -492,6 +529,9 @@ InMemoryDataset会根据用户自定义的预处理指令预处理原始数据
.. code-block:: python
import paddle
paddle.enable_static()
dataset = paddle.distributed.InMemoryDataset()
dataset._init_distributed_settings(fea_eval=True)
slots = ["slot1", "slot2", "slot3", "slot4"]
......
......@@ -49,6 +49,9 @@ QueueyDataset是流式处理数据使用Dataset类。与InmemoryDataset继承自
import paddle
import paddle.fluid as fluid
import os
paddle.enable_static()
with open("test_queue_dataset_run_a.txt", "w") as f:
data = "2 1 2 2 5 4 2 2 7 2 1 3\n"
data += "2 6 2 2 1 4 2 2 4 2 2 3\n"
......@@ -103,6 +106,9 @@ QueueyDataset是流式处理数据使用Dataset类。与InmemoryDataset继承自
import paddle
import os
paddle.enable_static()
with open("test_queue_dataset_run_a.txt", "w") as f:
data = "2 1 2 2 5 4 2 2 7 2 1 3\n"
data += "2 6 2 2 1 4 2 2 4 2 2 3\n"
......
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