diff options
Diffstat (limited to 'tensorflow/core/ops/math_ops.cc')
| -rw-r--r-- | tensorflow/core/ops/math_ops.cc | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/tensorflow/core/ops/math_ops.cc b/tensorflow/core/ops/math_ops.cc index 0f9ee4942a..b220a2d2d6 100644 --- a/tensorflow/core/ops/math_ops.cc +++ b/tensorflow/core/ops/math_ops.cc @@ -238,6 +238,13 @@ tf.complex_abs(x) ==> [5.25594902, 6.60492229] .Attr("T: {half, float, double, complex64, complex128}") \ .SetShapeFn(OpShapeInferenceFn(shape_inference::UnchangedShape)) +#define UNARY_GRADIENT_COMPLEX() \ + Input("x: T") \ + .Input("y: T") \ + .Output("z: T") \ + .Attr("T: {half, float, double, complex64, complex128}") \ + .SetShapeFn(OpShapeInferenceFn(shape_inference::UnchangedShape)) + REGISTER_OP("Neg") .UNARY() .Doc(R"doc( @@ -292,6 +299,13 @@ REGISTER_OP("Tanh") Computes hyperbolic tangent of `x` element-wise. )doc"); +REGISTER_OP("TanhGrad").UNARY_GRADIENT_COMPLEX().Doc(R"doc( +Computes the gradient for the tanh of `x` wrt its input. + +Specifically, `grad = dy * (1 - y*y)`, where `y = tanh(x)`, and `dy` +is the corresponding input gradient. +)doc"); + REGISTER_OP("Lgamma") .UNARY_REAL() .Doc(R"doc( @@ -325,6 +339,13 @@ Computes sigmoid of `x` element-wise. Specifically, `y = 1 / (1 + exp(-x))`. )doc"); +REGISTER_OP("SigmoidGrad").UNARY_GRADIENT_COMPLEX().Doc(R"doc( +Computes the gradient of the sigmoid of `x` wrt its input. + +Specifically, `grad = dy * y * (1 - y)`, where `y = sigmoid(x)`, and +`dy` is the corresponding input gradient. +)doc"); + REGISTER_OP("Sin") .UNARY_COMPLEX() .Doc(R"doc( |