TensorFlow 報錯：InvalidArgumentError (see above for traceback): tags and values not the same shape: [
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