Judah Jacobson
cec666e135
Fix Ref and Build semantics for generated code. ( #37 )
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Also:
- Make TensorFlow.Ops.{variable,assign} be the Core generated versions.
- Make ops take "Shape" as mandatory input.
2016-11-21 10:19:15 -08:00
Judah Jacobson
a277c7ddb3
Refactor OpGen. ( #36 )
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Also fixes op lists when the same attribute specifies the length of
both an input and an output. I added a test of "shapeN" which
previously failed with the following error:
ERROR: Ran out of counts in toResult. Likely misuse of buildListOp.
2016-11-20 10:00:22 -08:00
Greg Steuck
2b5e41ffeb
Make code --pedantic ( #35 )
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* Enforce pedantic build mode in CI.
* Our imports drifted really far from where they should be.
2016-11-18 10:42:02 -08:00
Noon van der Silk
69fdbf677f
test case to show can't calculate grad for embedding (and associated fix) ( #23 )
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* Fix for embedding gradient calculation
- Passes vectors instead of scalars to slice
- converts the numRows to a scalar
- add `toScalar` utility function
- minor change to test case so that it actually works
* added lib for testing helper functions
* add flatSlice function
2016-11-17 13:54:36 -08:00
fkm3
fc3d398ca9
Optimize fetching ( #27 )
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* Add MNIST data to gitignore
* Add simple tensor round-trip benchmark
* Use deepseq + cleaner imports
* Use safe version of fromIntegral in FFI code
* Don't copy data when fetching tensors
BEFORE
benchmarking feedFetch/4 byte
time 55.79 μs (54.88 μs .. 56.62 μs)
0.998 R² (0.997 R² .. 0.999 R²)
mean 55.61 μs (55.09 μs .. 56.11 μs)
std dev 1.828 μs (1.424 μs .. 2.518 μs)
variance introduced by outliers: 34% (moderately inflated)
benchmarking feedFetch/4 KiB
time 231.4 μs (221.9 μs .. 247.3 μs)
0.988 R² (0.974 R² .. 1.000 R²)
mean 226.6 μs (224.1 μs .. 236.2 μs)
std dev 13.45 μs (7.115 μs .. 27.14 μs)
variance introduced by outliers: 57% (severely inflated)
benchmarking feedFetch/4 MiB
time 485.8 ms (424.6 ms .. 526.7 ms)
0.998 R² (0.994 R² .. 1.000 R²)
mean 515.7 ms (512.5 ms .. 517.9 ms)
std dev 3.320 ms (0.0 s .. 3.822 ms)
variance introduced by outliers: 19% (moderately inflated)
AFTER
benchmarking feedFetch/4 byte
time 53.11 μs (52.12 μs .. 54.22 μs)
0.996 R² (0.995 R² .. 0.998 R²)
mean 54.64 μs (53.59 μs .. 56.18 μs)
std dev 4.249 μs (2.910 μs .. 6.076 μs)
variance introduced by outliers: 75% (severely inflated)
benchmarking feedFetch/4 KiB
time 83.83 μs (82.72 μs .. 84.92 μs)
0.999 R² (0.998 R² .. 0.999 R²)
mean 83.82 μs (83.20 μs .. 84.35 μs)
std dev 1.943 μs (1.557 μs .. 2.614 μs)
variance introduced by outliers: 20% (moderately inflated)
benchmarking feedFetch/4 MiB
time 95.54 ms (93.62 ms .. 97.82 ms)
0.999 R² (0.998 R² .. 1.000 R²)
mean 96.61 ms (95.76 ms .. 97.51 ms)
std dev 1.408 ms (1.005 ms .. 1.889 ms)
2016-11-17 10:41:49 -08:00
Greg Steuck
0d4f5a9628
Added sessionTracer to log graph operations. ( #26 )
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* Added TracingTest.
2016-11-14 15:14:51 -08:00
Greg Steuck
d9115c716f
genericLength is too generic.
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Avoid folding in TF.
2016-11-09 14:20:26 -08:00
Greg Steuck
ec5c5228e1
Fixed #19 by adding previously missing reshape.
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The comment did say that only flat shapes were supported though.
2016-11-09 11:54:53 -08:00
silky
9c81241439
Tests for "embedding_lookup" and minor fix
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- added a test that fails for a partitioned embedding
- added a test that passes for a single embedding
2016-11-09 16:21:40 +11:00
Greg Steuck
4ec78a8fca
Replaced topK with topKV2. ( #21 )
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topK is obsolete and generating warnings.
2016-11-08 20:57:22 -08:00
fkm3
03a3a6d086
Misc MNIST example cleanup ( #9 )
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* Use native oneHot op in the example code. It didn't exist when this was originally written.
* Misc cleanup in MNIST example
- Use unspecified dimension for batch size in model. This simplifies the
code for the test set.
- Move error rate calculation into model.
2016-10-26 11:14:38 -07:00
Greg Steuck
67690d1499
Initial commit
2016-10-24 19:26:42 +00:00
