[GitHub] [incubator-singa] dcslin commented on issue #514: SINGA-482 tc comprehension integration

2019-09-23 Thread GitBox
dcslin commented on issue #514: SINGA-482 tc comprehension integration
URL: https://github.com/apache/incubator-singa/pull/514#issuecomment-534047644
 
 
   Integration is done except support CPU.
   CPU support development is done, however the behavior was not expected even 
in clean TC env.
   CPU backed TC return zero tensor as shown in 
https://gist.githubusercontent.com/dcslin/f3ed411012c144163f3bedbe621257f6/raw/9f6af3f5e62b5bb52a58c087967c813b3acd8872/tensor-comprehension-cpu-errors


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[GitHub] [incubator-singa] dcslin commented on issue #514: SINGA-482 tc comprehension integration

2019-08-22 Thread GitBox
dcslin commented on issue #514: SINGA-482 tc comprehension integration
URL: https://github.com/apache/incubator-singa/pull/514#issuecomment-523808529
 
 
   TODO:
   1. move tc execution code into device `DoExec`, and support CPU
   2. package dependencies as conda package
   3. integer support


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[GitHub] [incubator-singa] dcslin commented on issue #514: SINGA-482 tc comprehension integration

2019-08-15 Thread GitBox
dcslin commented on issue #514: SINGA-482 tc comprehension integration
URL: https://github.com/apache/incubator-singa/pull/514#issuecomment-521572874
 
 
   Hi, this is the working version of tc integration for now, with following 
notes:
   1. tested in the environment specified in the dockerfile `cuda9`
   2. it implemented `MatMul`, `Relu` in TC for demonstration and usage is 
shown in following tests:
   ` ./bin/test_singa --gtest_filter=*TC*`, and tests are passing.
   3. for now only working in Cuda environment
   
   P.S. `softmax` is implemented but still checking why the output is not 
correct.


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