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TensorFlow 報錯:InvalidArgumentError (see above for traceback): tags and values not the same shape: [
時間 2020-12-24
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這裏出錯的原因是定義的 loss 採用 sparse_softmax_cross_entropy_with_logits loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=tf.argmax(labels_holder,1), logits=label_predict) 查閱 TensorFlow API:https://te
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相關文章
1.
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs
2.
解決模型加載NotFoundError (see above for traceback) Key v1 not found in checkp錯誤
3.
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[682112,156]
4.
Tensorflow:NotFoundError (see above for traceback): Key style_weight/Variable not found in checkpoin
5.
卷積層後鏈接LSTM層的報錯(InvalidArgumentError (see above for traceback): Incompatible shapes: [128] vs. [384])
6.
InternalError (see above for traceback): Blas GEMM launch failed已解決
7.
Could not install the app on the device, read the error above for details. Make sure you have an And
8.
cannot use the same dataset for report.dataset and page.dataset
9.
報錯:tensorflow.InvalidArgumentError: Input reshape is 7680 values, but the requested shape has 768
10.
Registry values for ProductID and LocaleID for AutoCAD and the vertical products
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