Error：OOM when allocating tensor with shape[......]

时间 2021-01-02

标签 # MaskRCNN OOM 深度学习繁體版

原文原文链接

问题描述：训练模型时，遇到：原因：内存不够，OOM即ran out of memory 可以使用top命令动态监听运行时间非常短的程序的内存使用情况：参考启用2个session，一个session运行top命令，另一个session运行指定的程序，top命令会输出与这个命令相关的资源使用情况。解决方法：最直观的方式就是减小batch_size或者hidden_layer中的单元数减少

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1. ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]
2. ''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with sh
3. 【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /j
4. OOM when allocating tensor with shape[300,14,14,256] and type float on /job:localhost/replica:0/tas
5. ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[682112,156]
6. You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
7. keras 报错 ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'Tensor(
8. DLA, programming with tensor cores
9. [显存被占满，程序无法运行问题]ResourceExhaustedError (see above for traceback): OOM when allocating tensor
10. ValueError: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32)
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1. ResourceExhaustedError: OOM when allocating tensor with shape[10,256,400,528]
2. ''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with sh
3. 【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /j
4. OOM when allocating tensor with shape[300,14,14,256] and type float on /job:localhost/replica:0/tas
5. ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[682112,156]
6. You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
7. keras 报错 ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'Tensor(
8. DLA, programming with tensor cores
9. [显存被占满，程序无法运行问题]ResourceExhaustedError (see above for traceback): OOM when allocating tensor
10. ValueError: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32)

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