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https://issues.apache.org/jira/browse/SYSTEMML-652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mike Dusenberry updated SYSTEMML-652:
-------------------------------------
Description:
I've found a bug in which assigning the result of a DML function to a portion
of a matrix with left-indexing results in the left-hand matrix being reduced in
size dimensionally. This bug was encountered while working on the deep learning
DML library, and the following simplified example aims to provide a simple,
reproducible example.
Given the following code,
{code}
forward = function(matrix[double] X) return (matrix[double] out) {
out = 1 / (1 + exp(-X))
}
N = 3
M = 5
X = rand(rows=N, cols=M)
X[,1:2] = forward(X[,1:2])
print("X1: " + nrow(X) + "x" + ncol(X))
X = rand(rows=N, cols=M)
temp = forward(X[,1:2])
X[,1:2] = temp
if(1==1){}
print("X2: " + nrow(X) + "x" + ncol(X))
if(1==1){}
print("")
{code},
notice that {{X}} should always be a {{3x5}} matrix. However, in the first
case, {{X}} is truncated to a {{3x2}} matrix.
{code}
X1: 3x2
X2: 3x5
{code}
Note: The {{if(1==1){}}} statements are included because otherwise the print
statements are outputted out of order.
was:
I've found a bug in which assigning the result of a DML function to a portion
of a matrix with left-indexing results in the left-hand matrix being reduced in
size dimensionally. This bug was encountered while working on the deep learning
DML library, and the following simplified example aims to provide a simple,
reproducible example.
Given the following code,
{code}
forward = function(matrix[double] X) return (matrix[double] out) {
out = 1 / (1 + exp(-X))
}
N = 3
M = 5
X = rand(rows=N, cols=M)
X[,1:2] = forward(X[,1:2])
print("X1: " + nrow(X) + "x" + ncol(X))
X = rand(rows=N, cols=M)
temp = forward(X[,1:2])
X[,1:2] = temp
if(1==1){}
print("X2: " + nrow(X) + "x" + ncol(X))
if(1==1){}
print("")
{code},
notice that {{X}} should always be a {{3x5}} matrix. However, in the first
case, {{X}} is truncated to a {{3x2}} matrix.
{code}
X1: 3x2
X2: 3x5
{code}
Note: The {{if(1==1)}} statements are included because otherwise the print
statements are outputted out of order.
> Left-Indexing With Result of DML Function Changes Matrix Size
> -------------------------------------------------------------
>
> Key: SYSTEMML-652
> URL: https://issues.apache.org/jira/browse/SYSTEMML-652
> Project: SystemML
> Issue Type: Bug
> Reporter: Mike Dusenberry
>
> I've found a bug in which assigning the result of a DML function to a portion
> of a matrix with left-indexing results in the left-hand matrix being reduced
> in size dimensionally. This bug was encountered while working on the deep
> learning DML library, and the following simplified example aims to provide a
> simple, reproducible example.
> Given the following code,
> {code}
> forward = function(matrix[double] X) return (matrix[double] out) {
> out = 1 / (1 + exp(-X))
> }
> N = 3
> M = 5
> X = rand(rows=N, cols=M)
> X[,1:2] = forward(X[,1:2])
> print("X1: " + nrow(X) + "x" + ncol(X))
> X = rand(rows=N, cols=M)
> temp = forward(X[,1:2])
> X[,1:2] = temp
> if(1==1){}
> print("X2: " + nrow(X) + "x" + ncol(X))
> if(1==1){}
> print("")
> {code},
> notice that {{X}} should always be a {{3x5}} matrix. However, in the first
> case, {{X}} is truncated to a {{3x2}} matrix.
> {code}
> X1: 3x2
> X2: 3x5
> {code}
> Note: The {{if(1==1){}}} statements are included because otherwise the print
> statements are outputted out of order.
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