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Results 1 - 7 of 7 for mirror_pad_grad (0.52 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) -
tensorflow/cc/gradients/array_grad_test.cc
TensorShape y_shape({2, 3}); auto y = MirrorPadGrad(scope_, x, paddings, "REFLECT"); RunTest(x, x_shape, y, y_shape); } TEST_F(ArrayGradTest, MirrorPadGradGrad_Symmetric) { TensorShape x_shape({4, 7}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape)); auto paddings = Const(scope_, {{1, 1}, {2, 2}}); TensorShape y_shape({2, 3}); auto y = MirrorPadGrad(scope_, x, paddings, "SYMMETRIC");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/cc/gradients/array_grad.cc
REGISTER_GRADIENT_OP("DepthToSpace", DepthToSpaceGrad); Status MirrorPadGrad(const Scope& scope, const Operation& op, const std::vector<Output>& grad_inputs, std::vector<Output>* grad_outputs) { string mode; TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "mode", &mode)); grad_outputs->push_back(tensorflow::ops::internal::MirrorPadGrad( scope, grad_inputs[0], op.input(1), mode));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 31.7K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"Transpose", "ZerosLike", "OnesLike", "BiasAdd" /*PW + Broadcast*/, "BroadcastArgs", "BroadcastGradientArgs", "OneHot", "Concat", "ConcatV2", "ConcatOffset", "Const", "MirrorPad", "MirrorPadGrad", "Pack", "Pad", "PadV2", "Reverse", "ReverseV2", "ReverseSequence", "Slice", "Split", "SplitV", "StridedSlice", "StridedSliceGrad", "ResourceStridedSliceAssign", "Tile", "Transpose", "InvertPermutation",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
RELEASE.md
* Fixes an overflow in `CONV_3D_TRANSPOSE` on TFLite ([CVE-2022-41894](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41894)) * Fixes a heap OOB in `MirrorPadGrad` ([CVE-2022-41895](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41895)) * Fixes a crash in `Mfcc` ([CVE-2022-41896](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41896))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
); TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>; TF_DerivedOperandTypeAttr Tpaddings = TF_DerivedOperandTypeAttr<1>; } def TF_MirrorPadGradOp : TF_Op<"MirrorPadGrad", [Pure, TF_OperandHasRank<1, 2>]> { let summary = [{ Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor. }]; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)