tf.compat.v1.shape
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Returns the shape of a tensor.
tf.compat.v1.shape(
input, name=None, out_type=None
)
This operation returns a 1-D integer tensor representing the shape of input.
For example:
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.shape(t) # [2, 2, 3]
Args |
|---|
input
|
A Tensor or SparseTensor.
|
name
|
A name for the operation (optional).
|
out_type
|
(Optional) The specified output type of the operation (int32
or int64). Defaults to tf.int32.
|
Returns |
|---|
A Tensor of type out_type.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.compat.v1.shape\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/array_ops.py#L668-L697) |\n\nReturns the shape of a tensor. \n\n tf.compat.v1.shape(\n input, name=None, out_type=None\n )\n\nThis operation returns a 1-D integer tensor representing the shape of `input`.\n\n#### For example:\n\n t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])\n tf.shape(t) # [2, 2, 3]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|--------------------------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor` or `SparseTensor`. |\n| `name` | A name for the operation (optional). |\n| `out_type` | (Optional) The specified output type of the operation (`int32` or `int64`). Defaults to [`tf.int32`](../../../tf#int32). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `out_type`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub