# tf.compat.v2.debugging.assert_shapes
|---|
| [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/check_ops.py#L1585-L1635) |
Assert tensor shapes and dimension size relationships between tensors.
tf.compat.v2.debugging.assert_shapes(
shapes, data=None, summarize=None, message=None, name=None
)
This Op checks that a collection of tensors shape relationships
satisfies given constraints.
#### Example:
tf.assert_shapes([
(x: ('N', 'Q')),
(y: ('N', 'D')),
(param: ('Q',)),
(scalar: ()),
])
If `x`, `y`, `param` or `scalar` does not have a shape that satisfies
all specified constraints, `message`, as well as the first `summarize` entries
of the first encountered violating tensor are printed, and
`InvalidArgumentError` is raised.
Size entries in the specified shapes are checked against other entries by
their **hash**, except:
- a size entry is interpreted as an explicit size if it can be parsed as an integer primitive.
- a size entry is interpreted as *any* size if it is None or '.'.
If the first entry of a shape is `...` (type `Ellipsis`) or '\*' that indicates
a variable number of outer dimensions of unspecified size, i.e. the constraint
applies to the inner-most dimensions only.
Scalar tensors and specified shapes of length zero (excluding the 'inner-most'
prefix) are both treated as having a single dimension of size one.
| ## Args ||
|---|---|
| `shapes` | dictionary with (`Tensor` to shape) items. A shape must be an iterable. |
| `data` | The tensors to print out if the condition is False. Defaults to error message and first few entries of the violating tensor. |
| `summarize` | Print this many entries of the tensor. |
| `message` | A string to prefix to the default message. |
| `name` | A name for this operation (optional). Defaults to "assert_shapes". |
| ## Raises ||
|---|---|
| `ValueError` | If static checks determine any shape constraint is violated. |