Tensorflow中遇到的错误
TypeError: Input 'b' of 'MatMul' Op has type float32 that does not match type int32 of argument 'a'.
loss = tf.reduce_mean(
tf.nn.nce_loss(nce_weights, nce_biases, embed, train_labels,
num_sampled, vocabulary_size))解决方案，修改 embed, train_labels参数位置
Expected int32, got list containing Tensors of type '_Message' instead.
错误原因：
tensorflow版本的问题： tensorflow1.0及以后api定义：(数字在后，tensors在前) tf.stack(tensors, axis=axis) For example:
t1 = [[1, 2, 3], [4, 5, 6]]
t2 = [[7, 8, 9], [10, 11, 12]]
tf.concat([t1, t2], 0) ==> [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]
tf.concat([t1, t2], 1) ==> [[1, 2, 3, 7, 8, 9], [4, 5, 6, 10, 11, 12]]
# tensor t3 with shape [2, 3]
# tensor t4 with shape [2, 3]
tf.shape(tf.concat([t3, t4], 0)) ==> [4, 3]
tf.shape(tf.concat([t3, t4], 1)) ==> [2, 6]tensorflow之前版本（0.x版本：数字在前，tensors在后）, 解决方法
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原始发表：2017.12.28 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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