- Sort Score
- Result 10 results
- Languages All
Results 1 - 2 of 2 for _backprop (0.23 sec)
-
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
example, suppose y = f(x) and we wish to apply a custom function g for backprop such that dx = g(dy). In Python, ```python with tf.get_default_graph().gradient_override_map( {'IdentityN': 'OverrideGradientWithG'}): y, _ = identity_n([f(x), x]) @tf.RegisterGradient('OverrideGradientWithG') def ApplyG(op, dy, _): return [None, g(dy)] # Do not backprop to f(x). ``` }]; let arguments = (ins
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.compat.v1.nn.fused_batch_norm` backprop to `offset` when `is_training=False` * `tf.image.adjust_contrast` forward * `tf.nn.depthwise_conv2d` backprop to `filter` when not using cuDNN convolution * `tf.image.resize` with `method=ResizeMethod.NEAREST` backprop * `tf.math.bincount` - TODO: confirm exception added
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)