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Results 1 - 2 of 2 for mirror_pad_grad (0.45 sec)
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tensorflow/compiler/mlir/tfr/examples/pad/ops_defs.py
input_ = tf.raw_ops.Concat( concat_dim=i, values=[left_padding, input_, right_padding]) return input_ @tf.RegisterGradient('NewMirrorPad') def _mirror_pad_grad(op, grad): mode = op.get_attr('mode') return [gen_array_ops.mirror_pad_grad(grad, op.inputs[1], mode=mode), None] @Composite( 'NewMirrorPadGrad', inputs=['input_: T', 'paddings: Tpaddings'], attrs=['mode: {"REFLECT", "SYMMETRIC"}'],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 01 05:00:29 UTC 2021 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/pad/pad_ops_test.py
kwargs_ = { 'input_': input_, 'paddings': paddings, 'mode': mode, } # Make sure the composition python function is correct self._assertOpAndComposite([input_], tf.raw_ops.MirrorPadGrad, ops_defs._composite_mirror_pad_grad, kwargs_, kwargs) # Make sure the translation and decomposition is correct self._assertOpAndComposite([input_],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 3.4K bytes - Viewed (0)