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Fix some minor bugs to adapt to paddle2.0rc. (#431)

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* Update mobilenet_v3.py

* Update densenet.py

* Update resnest.py

* Update hrnet.py

* Update vgg.py

* Update xception.py
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cuicheng01 2020-11-29 18:09:48 +08:00 committed by GitHub
parent 6796bca110
commit 68be3ab288
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6 changed files with 7 additions and 7 deletions
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2
ppcls/modeling/architectures/densenet.py
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@ -278,7 +278,7 @@ class DenseNet(nn.Layer):
conv = self.batch_norm(conv) conv = self.batch_norm(conv)
y = self.pool2d_avg(conv) y = self.pool2d_avg(conv)
y = paddle.reshape(y, shape=[0, -1]) y = paddle.reshape(y, shape=[-1, y.shape[1]])
y = self.out(y) y = self.out(y)
return y return y

2
ppcls/modeling/architectures/hrnet.py
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@ -657,7 +657,7 @@ class HRNet(nn.Layer):
y = self.conv_last(y) y = self.conv_last(y)
y = self.pool2d_avg(y) y = self.pool2d_avg(y)
y = paddle.reshape(y, shape=[0, -1]) y = paddle.reshape(y, shape=[-1, y.shape[1]])
y = self.out(y) y = self.out(y)
return y return y

2
ppcls/modeling/architectures/mobilenet_v3.py
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@ -306,7 +306,7 @@ class SEModule(nn.Layer):
outputs = F.relu(outputs) outputs = F.relu(outputs)
outputs = self.conv2(outputs) outputs = self.conv2(outputs)
outputs = hard_sigmoid(outputs) outputs = hard_sigmoid(outputs)
return paddle.multiply(x=inputs, y=outputs, axis=0) return paddle.multiply(x=inputs, y=outputs)
def MobileNetV3_small_x0_35(**args): def MobileNetV3_small_x0_35(**args):

4
ppcls/modeling/architectures/resnest.py
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@ -85,11 +85,11 @@ class rSoftmax(nn.Layer):
x = paddle.reshape( x = paddle.reshape(
x=x, x=x,
shape=[ shape=[
0, cardinality, radix, int(r * h * w / cardinality / radix) batch, cardinality, radix, int(r * h * w / cardinality / radix)
]) ])
x = paddle.transpose(x=x, perm=[0, 2, 1, 3]) x = paddle.transpose(x=x, perm=[0, 2, 1, 3])
x = nn.functional.softmax(x, axis=1) x = nn.functional.softmax(x, axis=1)
x = paddle.reshape(x=x, shape=[0, r * h * w]) x = paddle.reshape(x=x, shape=[batch, r * h * w])
else: else:
x = nn.functional.sigmoid(x) x = nn.functional.sigmoid(x)
return x return x

2
ppcls/modeling/architectures/vgg.py
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@ -113,7 +113,7 @@ class VGGNet(nn.Layer):
x = self._conv_block_4(x) x = self._conv_block_4(x)
x = self._conv_block_5(x) x = self._conv_block_5(x)
x = paddle.reshape(x, [0, -1]) x = paddle.reshape(x, [-1, x.shape[1]*x.shape[2]*x.shape[3]])
x = self._fc1(x) x = self._fc1(x)
x = F.relu(x) x = F.relu(x)
x = self._drop(x) x = self._drop(x)

2
ppcls/modeling/architectures/xception.py
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@ -305,7 +305,7 @@ class ExitFlow(nn.Layer):
conv2 = self._conv_2(conv1) conv2 = self._conv_2(conv1)
conv2 = F.relu(conv2) conv2 = F.relu(conv2)
pool = self._pool(conv2) pool = self._pool(conv2)
pool = paddle.reshape(pool, [0, -1]) pool = paddle.reshape(pool, [-1, pool.shape[1]])
out = self._out(pool) out = self._out(pool)
return out return out