1039
63%

Ran 01 Jun 2020 08:45PM UTC

Jobs 3

Files 62

Run time 3min

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Committed 01 Jun 2020 08:39PM UTC coverage: 64.274% (+0.1%) from 64.156%

Build # 1039

Build Type

push

travis-ci

Committed by

web-flow

Commit Message

Additional performance related stuff (#391)

* Additional performance related stuff

* Some cleanups:
- Fixed a bug in the linalg shape inference - where a shape is reused by
accident. Instead, input shapes are cloned before inference occurs.
- Boyscout cleanups

* Made sliceOpo materialize upon each action. This is not necessarily a good thing.

* made reshapeOp's CUDADo do the same thing as the CPU version

* Made sure that #402 works

* Fixed CUDA's batch mat mul

* Updated the Slice tests.
Originally due to the behaviour of the `sliceOp` at runtime, the resulting tensor is not materialized.
This made things very difficult for optimization - it's cheaper to materialize each step of a slice.
As a result, the raw .Data() no longer contains the extra data.

A concrete example:

```
a := NewMatrix(g, float64, WithShape(3, 2), WithName("a"), WithInit(RangedFrom(0)))
x := Slice(a, nil,  S(0))
m := NewTapeMachine(g)

m.RunAll()
x.Value()
// will be a colvec:
// [0]
// [2]
// [4]

```

In the old version, the slice operation doesn't materialize, so `x.Value()` is the same, but the raw data, acquired by `.Data()` is `[0, 1, 2, 3, 4]`

Now it has been materialized, so the raw data from `x.Value().Data()` will simply be `[0 2 4]`

* Cleanup convnet based on #402

* Cleaned up convnet_cuda

* Updated gomod

Run Details

9044 of 14071 relevant lines covered (64.27%)

1247196.54 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
1	1039.1 (GOARCH=amd64 BLAS_LIB=OpenBLAS TRAVISTEST=true CUDA=8.0.61-1)	01 Jun 2020 08:45PM UTC	62	64.27	Travis Job 1039.1
2	1039.2 (GOARCH=amd64 BLAS_LIB=OpenBLAS TRAVISTEST=true CUDA=8.0.61-1)	01 Jun 2020 08:45PM UTC	62	64.27	Travis Job 1039.2
3	1039.3 (GOARCH=amd64 BLAS_LIB=OpenBLAS TRAVISTEST=true CUDA=8.0.61-1)	01 Jun 2020 08:48PM UTC	62	64.27	Travis Job 1039.3

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