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Results 1 - 3 of 3 for TanhGrad (0.16 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.td
(TF_SqrtGradOp $y, $dy), (TF_DivOp (TF_MulOp $dy, (TF_ConstOp (GetScalarOfFloatType<"0.5"> $dy))), $y )>; //===----------------------------------------------------------------------===// // TanhGrad op patterns. //===----------------------------------------------------------------------===// // grad = dy * (1 - y**2) def LowerTanhGradOp : Pat<(TF_TanhGradOp $y, $dy), (TF_MulOp $dy,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"TruncateMod", "Equal", "NotEqual", "Greater", "GreaterEqual", "Less", "LessEqual", "SigmoidGrad", "SoftplusGrad", "SoftsignGrad", "TanhGrad", "Pow", "SquaredDifference", "ApproximateEqual", // Others "AddN", "Bitcast", "Cast", "ClipByValue", "Const", "Empty", "Identity", "IdentityN", "Relu", "Relu6", "ReluGrad", "Relu6Grad",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
static bool isCompatibleReturnTypes(TypeRange inferred, TypeRange actual) { return ArraysAreCastCompatible(inferred, actual); } }]; } def TF_TanhGradOp : TF_Op<"TanhGrad", [Pure, TF_SameOperandsAndResultTypeResolveRef]> { let summary = "Computes the gradient for the tanh of `x` wrt its input."; 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)