## Issue

I am new to tensorflow and I’m trying to concatenate 2 tensors with different shapes.

The tensors have shape:

```
>>> a
# <tf.Tensor: id=38, shape=(30000, 943, 1), dtype=float64
>>> b
<tf.Tensor: id=2, shape=(30000, 260, 1), dtype=float64
```

Is it possible to concatenate them on axis=0 to obtain a tensor with shape (60000, ?, 1)?

I tried to convert them to ragged tensors before concatenating:

```
a2 = tf.ragged.constant(a)
b2 = tf.ragged.constant(b)
c = tf.concat([a2, b2], axis=0)
```

but it did not work.

## Solution

You can convert the tensor to `RaggedTensor`

then use your own code (`tf.concat`

).

```
a = tf.random.uniform((30000, 943, 1), maxval=4, dtype=tf.int32)
b = tf.random.uniform((30000, 260, 1), maxval=4, dtype=tf.int32)
rag_a = tf.RaggedTensor.from_tensor(a)
rag_b = tf.RaggedTensor.from_tensor(b)
res = tf.concat([rag_a, rag_b], axis=0)
print(res.shape)
```

```
(60000, None, 1)
```

Answered By – I'mahdi

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