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Doc of paddle.save/load #32900

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May 14, 2021
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Doc of paddle.save/load #32900

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doc of paddle.save/load
hbwx24 May 14, 2021
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polish doc of paddle.save/load
hbwx24 May 14, 2021
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61 changes: 55 additions & 6 deletions python/paddle/framework/io.py
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Original file line number Diff line number Diff line change
Expand Up @@ -496,7 +496,7 @@ def save(obj, path, protocol=2, **configs):
Save an object to the specified path.

.. note::
Now supports saving ``state_dict`` of Layer/Optimizer, Layer, Tensor and nested structure containing Tensor.
Now supports saving ``state_dict`` of Layer/Optimizer, Layer, Tensor and nested structure containing Tensor, Program.

.. note::
Different from ``paddle.jit.save``, since the save result of ``paddle.save`` is a single file,
Expand Down Expand Up @@ -544,7 +544,18 @@ def save(obj, path, protocol=2, **configs):
# save weight of emb
paddle.save(emb.weight, "emb.weight.pdtensor")

# example 2: static graph
# example 2: Save multiple state_dict at the same time
from paddle import nn
from paddle.optimizer import Adam

layer = paddle.nn.Linear(3, 4)
adam = Adam(learning_rate=0.001, parameters=layer.parameters())
obj = {'model': layer.state_dict(), 'opt': adam.state_dict(), 'epoch': 100}
path = 'example/model.pdparams'
paddle.save(obj, path)


# example 3: static graph
import paddle
import paddle.static as static

Expand All @@ -570,6 +581,18 @@ def save(obj, path, protocol=2, **configs):
# save/load state_dict
path_state_dict = 'temp/model.pdparams'
paddle.save(prog.state_dict("param"), path_tensor)

# example 4: save program
import paddle

paddle.enable_static()

data = paddle.static.data(
name='x_static_save', shape=(None, 224), dtype='float32')
y_static = z = paddle.static.nn.fc(data, 10)
main_program = paddle.static.default_main_program()
path = "example/main_program.pdmodel"
paddle.save(main_program, path)
'''
# 1. input check
filename = os.path.basename(path)
Expand Down Expand Up @@ -667,7 +690,7 @@ def load(path, **configs):
Load an object can be used in paddle from specified path.

.. note::
Now supports loading ``state_dict`` of Layer/Optimizer, Layer, Tensor and nested structure containing Tensor.
Now supports loading ``state_dict`` of Layer/Optimizer, Layer, Tensor and nested structure containing Tensor, Program.

.. note::
In order to use the model parameters saved by paddle more efficiently,
Expand Down Expand Up @@ -714,8 +737,6 @@ def load(path, **configs):
Examples:
.. code-block:: python

import paddle

# example 1: dynamic graph
import paddle
emb = paddle.nn.Embedding(10, 10)
Expand Down Expand Up @@ -744,7 +765,19 @@ def load(path, **configs):
load_weight = paddle.load("emb.weight.pdtensor")


# example 2: static graph
# example 2: Load multiple state_dict at the same time
from paddle import nn
from paddle.optimizer import Adam

layer = paddle.nn.Linear(3, 4)
adam = Adam(learning_rate=0.001, parameters=layer.parameters())
obj = {'model': layer.state_dict(), 'opt': adam.state_dict(), 'epoch': 100}
path = 'example/model.pdparams'
paddle.save(obj, path)
obj_load = paddle.load(path)


# example 3: static graph
import paddle
import paddle.static as static

Expand Down Expand Up @@ -773,6 +806,22 @@ def load(path, **configs):
paddle.save(prog.state_dict("param"), path_tensor)
load_state_dict = paddle.load(path_tensor)


# example 4: load program
import paddle

paddle.enable_static()

data = paddle.static.data(
name='x_static_save', shape=(None, 224), dtype='float32')
y_static = z = paddle.static.nn.fc(data, 10)
main_program = paddle.static.default_main_program()
path = "example/main_program.pdmodel"
paddle.save(main_program, path)
load_main = paddle.load(path)
print(load_main)


'''

if os.path.isfile(path):
Expand Down