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Small optimization to Nd4j.readNumpy (#183) 

Signed-off-by: Alex Black <blacka101@gmail.com>
master
Alex Black 2019-08-27 23:27:41 +10:00 committed by GitHub
parent 7f0c660d8b
commit 9d325ad070
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1 changed files with 4 additions and 7 deletions
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11
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
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@ -2265,15 +2265,12 @@ public class Nd4j {
Preconditions.checkState(data.length == numColumns, Preconditions.checkState(data.length == numColumns,
"Data has inconsistent number of columns: data length %s, numColumns %s", data.length, numColumns); "Data has inconsistent number of columns: data length %s, numColumns %s", data.length, numColumns);
data2.add(readSplit(data)); data2.add(readSplit(data));
} }
ret = Nd4j.create(dataType, data2.size(), numColumns); float[][] fArr = new float[data2.size()][0];
for (int i = 0; i < data2.size(); i++) { for(int i=0; i<data2.size(); i++ ){
float[] row = data2.get(i); fArr[i] = data2.get(i);
INDArray arr = Nd4j.create(row, new long[]{1, row.length}, dataType);
ret.putRow(i, arr);
} }
ret = Nd4j.createFromArray(fArr).castTo(dataType);
return ret; return ret;
} }