[ https://issues.apache.org/jira/browse/SYSTEMML-2131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Matthias Boehm closed SYSTEMML-2131. ------------------------------------ Resolution: Done Assignee: Matthias Boehm Fix Version/s: SystemML 1.2 > Add support for bias_add and bias_mult > -------------------------------------- > > Key: SYSTEMML-2131 > URL: https://issues.apache.org/jira/browse/SYSTEMML-2131 > Project: SystemML > Issue Type: Sub-task > Reporter: Matthias Boehm > Assignee: Matthias Boehm > Priority: Major > Fix For: SystemML 1.2 > > > The functions bias_add and bias_mult (see > http://apache.github.io/systemml/dml-language-reference for the semantics) > are language constructs and operators that aim to improve performance by > fusing element-wise operations with the replication of bias terms. For > example, bias_add is defined as follows: > {code} > ones = matrix(1, rows=1, cols=height*width); > output = input + matrix(bias %*% ones, rows=1, cols=numChannels*height*width) > {code} > The code generation frameworks will makes such custom operators obsolete. > However, because bias_add and bias_mult are mapped to specific > {{ConvolutionOp}} instances they are not yet supported by the codegen > framework. > In detail this task entails: > 1) Create new cell template tests in {{functions.codegen.CellwiseTmplTest}} > for both functions. > 2) Modify the open/merge/close conditions for cell templates in > {{codegen.template.TemplateCell}} > 3) Create a new codegen primitive for a mapped index lookups (for each cell > in input we want to access a specific cell in the bias vector) > 4) Modify the CPlan construction in {{codegen.template.TemplateCell}} to > create binary plus or multiply and the mapped index lookup for all > ConvolutionOp instances of type {{BIAS_ADD}} or {{BIAS_MULTIPLY}} -- This message was sent by Atlassian JIRA (v7.6.3#76005)