tf.compat.v1.assert_rank_at_least
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Assert x has rank equal to rank or higher.
tf.compat.v1.assert_rank_at_least(
x, rank, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_rank_at_least(x, 2)]):
output = tf.reduce_sum(x)
Args |
|---|
x
|
Numeric Tensor.
|
rank
|
Scalar Tensor.
|
data
|
The tensors to print out if the condition is False. Defaults to
error message and first few entries of x.
|
summarize
|
Print this many entries of each tensor.
|
message
|
A string to prefix to the default message.
|
name
|
A name for this operation (optional).
Defaults to "assert_rank_at_least".
|
Returns |
|---|
Op raising InvalidArgumentError unless x has specified rank or higher.
If static checks determine x has correct rank, a no_op is returned.
|
Raises |
|---|
ValueError
|
If static checks determine x has wrong rank.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.compat.v1.assert_rank_at_least\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/check_ops.py#L1196-L1260) |\n\nAssert `x` has rank equal to `rank` or higher.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.debugging.assert_rank_at_least`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/assert_rank_at_least)\n\n\u003cbr /\u003e\n\n tf.compat.v1.assert_rank_at_least(\n x, rank, data=None, summarize=None, message=None, name=None\n )\n\nExample of adding a dependency to an operation: \n\n with tf.control_dependencies([tf.compat.v1.assert_rank_at_least(x, 2)]):\n output = tf.reduce_sum(x)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|-------------------------------------------------------------------------------------------------------------|\n| `x` | Numeric `Tensor`. |\n| `rank` | Scalar `Tensor`. |\n| `data` | The tensors to print out if the condition is False. Defaults to error message and first few entries of `x`. |\n| `summarize` | Print this many entries of each tensor. |\n| `message` | A string to prefix to the default message. |\n| `name` | A name for this operation (optional). Defaults to \"assert_rank_at_least\". |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Op raising `InvalidArgumentError` unless `x` has specified rank or higher. If static checks determine `x` has correct rank, a `no_op` is returned. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|------------------------------------------------|\n| `ValueError` | If static checks determine `x` has wrong rank. |\n\n\u003cbr /\u003e"]]
View source on GitHub