Instantiate an identity matrix and returns it. Arguments: size: Integer, number of rows/columns. dtype: String, data type of returned Keras variable. name: String, name of returned Keras variable. Returns: A Keras variable, an identity matrix. Example: ```python
(size, dtype=None, name=None)
| 1342 | |
| 1343 | @keras_export('keras.backend.eye') |
| 1344 | def eye(size, dtype=None, name=None): |
| 1345 | """Instantiate an identity matrix and returns it. |
| 1346 | |
| 1347 | Arguments: |
| 1348 | size: Integer, number of rows/columns. |
| 1349 | dtype: String, data type of returned Keras variable. |
| 1350 | name: String, name of returned Keras variable. |
| 1351 | |
| 1352 | Returns: |
| 1353 | A Keras variable, an identity matrix. |
| 1354 | |
| 1355 | Example: |
| 1356 | ```python |
| 1357 | >>> from keras import backend as K |
| 1358 | >>> kvar = K.eye(3) |
| 1359 | >>> K.eval(kvar) |
| 1360 | array([[ 1., 0., 0.], |
| 1361 | [ 0., 1., 0.], |
| 1362 | [ 0., 0., 1.]], dtype=float32) |
| 1363 | ``` |
| 1364 | |
| 1365 | """ |
| 1366 | if dtype is None: |
| 1367 | dtype = floatx() |
| 1368 | tf_dtype = dtypes_module.as_dtype(dtype) |
| 1369 | return variable(linalg_ops.eye(size, dtype=tf_dtype), dtype, name) |
| 1370 | |
| 1371 | |
| 1372 | @keras_export('keras.backend.zeros_like') |
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