tf.compat.v1.size
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Returns the size of a tensor.
tf.compat.v1.size(
input, name=None, out_type=None
)
Returns a 0-D Tensor representing the number of elements in input
of type out_type. Defaults to tf.int32.
For example:
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.size(t) # 12
Args |
|---|
input
|
A Tensor or SparseTensor.
|
name
|
A name for the operation (optional).
|
out_type
|
(Optional) The specified non-quantized numeric output type of the
operation. Defaults to tf.int32. (Note: there is an experimental
flag, tf_shape_default_int64 that changes the default to tf.int64.
This is an unsupported, experimental setting that causes known breakages.)
|
Returns |
|---|
A Tensor of type out_type. Defaults to tf.int32.
|
Equivalent to np.size()
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.compat.v1.size\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#L811-L847) |\n\nReturns the size of a tensor. \n\n tf.compat.v1.size(\n input, name=None, out_type=None\n )\n\nReturns a 0-D `Tensor` representing the number of elements in `input`\nof type `out_type`. Defaults to tf.int32.\n\n#### For example:\n\n t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])\n tf.size(t) # 12\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 non-quantized numeric output type of the operation. Defaults to [`tf.int32`](../../../tf#int32). (Note: there is an experimental flag, `tf_shape_default_int64` that changes the default to [`tf.int64`](../../../tf#int64). This is an unsupported, experimental setting that causes known breakages.) |\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`. Defaults to [`tf.int32`](../../../tf#int32). ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nnumpy compatibility\n-------------------\n\n\u003cbr /\u003e\n\nEquivalent to np.size()\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e"]]
View source on GitHub