blob: 82fe3a1ecaf5b15a2313437b9b0b3b4a23f0ca4f [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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#-------------------------------------------------------------
/*
* Leaky Rectified Linear Unit (ReLU) nonlinearity layer.
*/
forward = function(matrix[double] X)
return (matrix[double] out) {
/*
* Computes the forward pass for a Leaky ReLU nonlinearity layer.
*
* Inputs:
* - X: Inputs, of shape (any, any).
*
* Outputs:
* - out: Outputs, of same shape as `X`.
*/
# compute ifelse(X > 0, X, 0.01 * X)
out = max(X, 0.01 * X)
}
backward = function(matrix[double] dout, matrix[double] X)
return (matrix[double] dX) {
/*
* Computes the backward pass for a Leaky ReLU nonlinearity layer.
*
* Inputs:
* - dout: Gradient wrt `out` from upstream, of same shape as `X`.
* - X: Previous input data matrix, of shape (any, any).
*
* Outputs:
* - dX: Gradient wrt `X`, of same shape as `X`.
*/
dX = ifelse(X > 0, dout, 0.01 * dout)
}