j143 opened a new pull request #890: [SYSTEMML-2121] AutoEncoder test for codegenalg suite URL: https://github.com/apache/systemml/pull/890 This patch adds a test case for AutoEncoder with codegen enabled against a corresponding R script. **Some results:** `512SparseRewritesSparkFuseNoRedundancy` ``` # Instruction Time(s) Count 1 sp_mapmm 12.568 71 2 sp_write 6.837 8 3 sp_map+ 5.662 72 4 sp_uasqk+ 5.156 10 5 sp_spoofRATMP17 2.690 10 6 sp_spoofRATMP64 2.169 10 7 sp_spoofRATMP9 2.152 21 8 sp_spoofOPTMP31 1.541 10 9 sp_spoofRATMP50 1.459 20 10 sp_rblk 1.420 6 ``` `512DenseRewritesCP` ``` # Instruction Time(s) Count 1 ba+* 3.267 71 2 sp_rblk 1.987 6 3 write 1.641 8 4 spoofRATMP135 0.184 40 5 * 0.148 97 6 r' 0.120 110 7 spoofOPTMP141 0.068 10 8 + 0.042 74 9 uack+ 0.042 1 10 spoofCellTMP152 0.037 10 ``` `512DenseRewritesSpark` ``` # Instruction Time(s) Count 1 sp_mapmm 16.587 71 2 sp_write 7.663 8 3 sp_spoofCellTMP262 4.310 10 4 sp_spoofRATMP243 3.250 10 5 sp_spoofRATMP180 2.451 26 6 sp_spoofRATMP210 2.429 10 7 sp_spoofRATMP271 1.700 20 8 sp_map+ 1.654 72 9 sp_spoofRATMP189 1.531 14 10 sp_spoofOPTMP246 1.526 10 ``` Related discusssion: >both R and DML scripts, the implementation of our rand is very different as we need to ensure > that, given a seed, we generate the same data in local and distributed operations. Accordingly, > we derive seeds for each 1K x 1K block from the initial seed. So, we generated the random matrix in the Java test class itself, so that both the scripts consume same random matrices. [Mail archive](https://www.mail-archive.com/dev@systemml.apache.org/msg00765.html)
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