1.tf.layers.Flatten

Class Flatten:在保留第0轴的情况下对输入的张量进行Flatten(扁平化)

代码示例:

x=tf.placeholder(shape=(None,4,4),dtype='float32')

y=tf.layers.Flatten()(x)

print(y)

输出:

Tensor("flatten/Reshape:0", shape=(?, 16), dtype=float32)

tensorflow
一个面向所有人的开源机器学习框架

2.tf.layers.flatten

同Flatten类。

tf.layers.flatten(

    inputs,

    name=None

)

参数:

  1. inputs:输入的张量
  2. name:层的名称

x=tf.placeholder(shape=(None,4,4),dtype='float32')

y=tf.layers.flatten(x)

print(y)

GitHub 加速计划 / te / tensorflow
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一个面向所有人的开源机器学习框架
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4f64a3d5 Instead, check for this case in `ResolveUsers` and `ResolveOperand`, by querying whether the `fused_expression_root` is part of the `HloFusionAdaptor`. This prevents us from stepping into nested fusions. PiperOrigin-RevId: 724311958 2 个月前
aa7e952e Fix a bug in handling negative strides, and add a test case that exposes it. We can have negative strides that are not just -1, e.g. with a combining reshape. PiperOrigin-RevId: 724293790 2 个月前
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