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Author SHA1 Message Date
Noon van der Silk
69fdbf677f test case to show can't calculate grad for embedding (and associated fix) (#23) 
* 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) 
* 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
c430e54c3c Uprev tensorflow. (#33) 
* No longer need to hide ResourceHandle ops
* Blacklisted not supported TensorArrayV2
* Ownership of feed tensors changed (1f0c5119a0230c5160d45496175b9256f097e144)
 2016-11-16 21:16:20 -08:00
Greg Steuck
ea9ac9e37c Resolve #30 by using nightly. (#32) 
Unfortunately bazel build is notably slower to run.
 2016-11-15 16:42:52 -08:00
Greg Steuck
93e27a12c6 Uprev tensorflow. (#29) 
Includes temporary blacklisting for a couple of ops that will be
supported once my fix lands in the main tensorflow repo.
 2016-11-14 17:04:44 -08:00
Greg Steuck
0d4f5a9628 Added sessionTracer to log graph operations. (#26) 
* Added TracingTest.
 2016-11-14 15:14:51 -08:00
fkm3
630850c2d2 Add TensorFlow.Core module to start formalizing the exposed API (#17) 
* Add TensorFlow.Core module to start formalizing the exposed API

* Refer to ops packages instead of modules
 2016-11-10 09:47:41 -08:00
Greg Steuck
9e005e3af7 Merge pull request #22 from tensorflow/embedding-lookup-fix 
Embedding lookup fix
 2016-11-09 15:59:10 -08:00
Greg Steuck
d9115c716f genericLength is too generic. 
Avoid folding in TF.
 2016-11-09 14:20:26 -08:00
Greg Steuck
ec5c5228e1 Fixed #19 by adding previously missing reshape. 
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 
- 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) 
topK is obsolete and generating warnings.
 2016-11-08 20:57:22 -08:00
Greg Steuck
8db944578a Support ResourceHandle. (#18) 
Exposed by moving to newer TF.
 2016-11-08 16:48:41 -08:00
Greg Steuck
29f11d351d Regen haddock. (#16) 2016-10-31 14:22:48 -07:00
Greg Steuck
4cf372995e Remove unnecessary submodule commands. 
Jenkins is starting from a repository with submodules as is.
 2016-10-31 09:25:12 -07:00
Greg Steuck
579bec26f0 Merge branch 'master' of https://github.com/tensorflow/haskell 2016-10-31 09:22:56 -07:00
Greg Steuck
9f2f4e2877 Fixed CI and added indicator. (#15) 
* Sorted test names.

* Don't require a terminal to run tests.

Should resolve "the input device is not a TTY" problem with Jenkins.

* Added build indicator to README.md.

* Fixed up URL.
 2016-10-28 18:08:32 -07:00
Greg Steuck
d97bf0c4c7 Merge branch 'master' of https://github.com/tensorflow/haskell 2016-10-28 16:31:12 -07:00
Greg Steuck
28bfe005da Integration test (#14) 
- Uses docker to put everything together.
- stack is running on "raw" system, similar to MacOS build.
 2016-10-28 16:14:26 -07:00
Greg Steuck
0745e96469 Combined all RUN commands to have fewer layers. 2016-10-28 15:47:00 -07:00
Greg Steuck
9e219120d4 Forgotten to checkout submodules. 2016-10-28 15:07:15 -07:00
Greg Steuck
081902db3e Running ldconfig to make libtensorflow_c visible. 
Added it to both ci_build and stack images. It wasn't necessary in the
former for some reason.
 2016-10-28 14:27:51 -07:00
Greg Steuck
d050ec2654 Semi-functional continuous integration test. 
- Uses docker to put everything together.
- stack is running on "raw" system, similar to MacOS build.
- Still not finding libtensorflow_c.so in tensorflow-core-ops setup.
 2016-10-27 18:59:33 -07:00
Noon van der Silk
b2795d7518 Starting NN library (#11) 
* Starting NN library

- Added "sigmoidCrossEntropyWithLogits"
- Ported across a single test
 2016-10-27 18:05:27 -07:00
fkm3
03a3a6d086 Misc MNIST example cleanup (#9) 
* 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
Judah Jacobson
54eddcc6bd Add instructions for building on Mac OS X. (#8) 
* Add instructions for building on Mac OS X.
* Include /usr/local/lib directly in stack.yaml.
 2016-10-26 11:13:42 -07:00
Judah Jacobson
95cfe1aefa Blacklist the SaveV2 and RestoreV2 ops which need Tensor lists. (#7) 2016-10-25 23:19:19 -07:00
Judah Jacobson
cdd4a0a747 Compile on platforms where int64_t == long long. (#6) 
In particular, this helps fix the build on Mac OS X.
 2016-10-25 22:26:42 -07:00
Greg Steuck
ea8b62e47b Haddock (#3) 
* Trivial script for regenerating haddocks: exclude .haddock files.

* Haddock regen
 2016-10-25 12:43:06 -07:00
Greg Steuck
db69e1d311 Trivial script for regenerating haddocks (#2) 2016-10-25 10:11:24 -07:00
Greg Steuck
11fe77df7a Update README.md 
Close #4
 2016-10-25 09:53:35 -07:00
Judah Jacobson
d525ff7c9c Update docker image name and maintainer. (#1) 2016-10-24 19:19:26 -07:00
Greg Steuck
67690d1499 Initial commit 2016-10-24 19:26:42 +00:00