jax.numpy.concat
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jax.numpy.concat#
- jax.numpy.concat(arrays,/,*,axis=0)[source]#
Join arrays along an existing axis.
JAX implementation of
array_api.concat().- Parameters:
arrays (Sequence[ArrayLike]) – a sequence of arrays to concatenate; each must have the same shapeexcept along the specified axis. If a single array is given it will betreated equivalently toarrays = unstack(arrays), but the implementationwill avoid explicit unstacking.
axis (int |None) – specify the axis along which to concatenate.
- Returns:
the concatenated result.
- Return type:
See also
jax.lax.concatenate(): XLA concatenation API.jax.numpy.concatenate(): NumPy version of this function.jax.numpy.stack(): concatenate arrays along a new axis.
Examples
One-dimensional concatenation:
>>>x=jnp.arange(3)>>>y=jnp.zeros(3,dtype=int)>>>jnp.concat([x,y])Array([0, 1, 2, 0, 0, 0], dtype=int32)
Two-dimensional concatenation:
>>>x=jnp.ones((2,3))>>>y=jnp.zeros((2,1))>>>jnp.concat([x,y],axis=1)Array([[1., 1., 1., 0.], [1., 1., 1., 0.]], dtype=float32)
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