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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
```python tf.cumprod([a, b, c], exclusive=True) # => [1, a, a * b] ``` By setting the `reverse` kwarg to `True`, the cumprod is performed in the opposite direction: ```python tf.cumprod([a, b, c], reverse=True) # => [a * b * c, b * c, c] ``` This is more efficient than using separate `tf.reverse` ops. The `reverse` and `exclusive` kwargs can also be combined: ```python
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
`tf.divide()` is now the recommended division function. `tf.div()` will remain, but its semantics do not respond to Python 3 or `from future` mechanisms. * tf.reverse() now takes indices of axes to be reversed. E.g. `tf.reverse(a, [True, False, True])` must now be written as `tf.reverse(a, [0, 2])`. `tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
pkg/apis/core/validation/validation_test.go
if diff := cmp.Diff(tt.wantFieldErrors, errs); diff != "" { t.Errorf("unexpected field errors (-want, +got):\n%s", diff) } }) } } // collectResourcePaths traverses the object, computing all the struct paths. func collectResourcePaths(t *testing.T, skipRecurseList sets.String, tp reflect.Type, path *field.Path) sets.String {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 857.7K bytes - Viewed (0)