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Merged
merged 4 commits into from
Nov 13, 2020
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updata 2.0 API english doc #28525

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0665563
make Numpy version is below 1.19.3
zhwesky2010 Nov 10, 2020
725d83b
fix 2.0 doc
zhwesky2010 Nov 10, 2020
2524a4d
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
zhwesky2010 Nov 10, 2020
fe653fb
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
zhwesky2010 Nov 12, 2020
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2 changes: 1 addition & 1 deletion paddle/fluid/operators/unique_op.cu
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Expand Up @@ -177,7 +177,7 @@ static void UniqueFlattendCUDATensor(const framework::ExecutionContext& context,
thrust::sort_by_key(thrust::device, in_data_hat, in_data_hat + num_input,
sorted_indices_data);

// 1. Calculate op result: 'out'：
// 1. Calculate op result: 'out'
Tensor range;
range.Resize(framework::make_ddim({num_input + 1}));
auto range_data_ptr = range.mutable_data<IndexT>(context.GetPlace());
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22 changes: 7 additions & 15 deletions paddle/fluid/pybind/imperative.cc
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Expand Up @@ -685,8 +685,6 @@ void BindImperative(py::module *m_ptr) {
.. code-block:: python

import paddle
paddle.disable_static()

linear = Linear(32, 64)
data = paddle.uniform(shape=[30, 10, 32], -1, 1)
x = linear(data)
Expand All @@ -704,19 +702,13 @@ void BindImperative(py::module *m_ptr) {
.. code-block:: python

import paddle
paddle.disable_static()
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@jzhang533 jzhang533 Nov 11, 2020

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ret = paddle.sums(inputs2)这行应该跑不了吧。

另外，感觉可以用一个更加简洁的示例。

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@zhwesky2010 zhwesky2010 Nov 12, 2020

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Done


inputs = []
for _ in range(10):
tmp = paddle.ones([2, 2])
tmp.stop_gradient=False
inputs.append(tmp)
ret = paddle.sums(inputs2)
loss = paddle.sum(ret)
loss.backward()
print("Before clear_gradient {}".format(loss.grad))
loss.clear_gradient()
print("After clear_gradient {}".format(loss.grad))
input = paddle.uniform([10, 2])
linear = paddle.nn.Linear(2, 3)
out = linear(input)
out.backward()
print("Before clear_gradient, linear.weight.grad: {}".format(linear.weight.grad))
linear.weight.clear_gradient()
print("After clear_gradient, linear.weight.grad: {}".format(linear.weight.grad))
)DOC")
.def("clone",
[](std::shared_ptr<imperative::VarBase> &self) {
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6 changes: 1 addition & 5 deletions python/paddle/framework/__init__.py
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Expand Up @@ -18,10 +18,7 @@
'get_default_dtype', 'set_default_dtype'
]

__all__ += [
'grad', 'LayerList', 'load', 'save', 'to_variable', 'no_grad',
'DataParallel'
]
__all__ += ['grad', 'LayerList', 'load', 'save', 'no_grad', 'DataParallel']

from . import random
from .random import seed
Expand All @@ -39,7 +36,6 @@

from paddle.fluid import core #DEFINE_ALIAS
from ..fluid.dygraph.base import no_grad_ as no_grad #DEFINE_ALIAS
from ..fluid.dygraph.base import to_variable #DEFINE_ALIAS
from ..fluid.dygraph.base import grad #DEFINE_ALIAS
from .io import save
from .io import load
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4 changes: 0 additions & 4 deletions python/paddle/framework/io.py
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Expand Up @@ -225,8 +225,6 @@ def save(obj, path):

import paddle

paddle.disable_static()

emb = paddle.nn.Embedding(10, 10)
layer_state_dict = emb.state_dict()
paddle.save(layer_state_dict, "emb.pdparams")
Expand Down Expand Up @@ -318,8 +316,6 @@ def load(path, **configs):
.. code-block:: python

import paddle

paddle.disable_static()

emb = paddle.nn.Embedding(10, 10)
layer_state_dict = emb.state_dict()
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