update results for v0.13.0, and update cuda-on-cl to latest version, …

…which is resonsible for these results

README.md

@@ -43,7 +43,7 @@ Please see the main repository for full Tensorflow documentation.  This readme w
   - the tensorflow non-gpu installation pre-requisites,
    - an OpenCL 1.2-enabled GPU, and  OpenCL 1.2-enabled drivers
    - python 3
-- Simply download https://github.com/hughperkins/tensorflow-cl/releases/download/v0.12.1/tensorflow-0.11.0rc0-py3-none-any.whl , and
+- Simply download https://github.com/hughperkins/tensorflow-cl/releases/download/v0.13.0/tensorflow-0.11.0rc0-py3-none-any.whl , and
 - Install using pip:
 ```
 pip install --upgrade tensorflow-0.11.0rc0-py3-none-any.whl
@@ -85,37 +85,21 @@ Piccie of running Aymeric Damien's [linear_regression.py](https://github.com/hug
 
 <img src="doc/img/aymericdamien_linearregression.png?raw=true" width="600" />
 
-## Test results, on v0.11.0 wheel
+## Test results, on v0.13.0 wheel
 
 | test | Intel HD5500 | NVIDIA K520 |
 |----- |-------|-----|
 |test_tf.py| ok | ok |
 | test_tf2.py | ok | ok |
-| test_tf3.py | fails for pow | ok |
-| test_tf4.py | fails for all | ok |
-| test_blas.py | ok | not ok |
-| test_reductions.py | fails for all except reduce_mean | ok |
-| [linear_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/linear_regression.py) | runs, but cost seems wrong | ok |
-| [logistic_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/logistic_regression.py) | epoch 1 ok, then memory error | ok |
-| [nearest_neighbor.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/nearest_neighbor.py) | accuracy 0.12, seems a bit low... | ok |
-| [multilayer_perceptron.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/multilayer_perceptron.py) | cost is nan | a bit slow, otherwise seems ok |
-| [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py) | loss nan, accuracy broken | cost looks ok, accuracy seems broken |
-
-## Test results, on v0.12.0 wheel
-
-| test | Intel HD5500 | NVIDIA K520 |
-|----- |-------|-----|
-|test_tf.py| ok | ok |
-| test_tf2.py | ok | ok |
-| test_tf3.py | all ok, except `not_equal` | all ok, except `not_equal` |
-| test_tf4.py | ok :-) | ok |
-| test_blas.py | runs ok, but segfault at end | not tested |
-| test_reductions.py | all pass :-) | not tested |
-| [linear_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/linear_regression.py) | runs, but spamtastic | not tested |
-| [logistic_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/logistic_regression.py) | either slow or blocked | not tested |
-| [nearest_neighbor.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/nearest_neighbor.py) | either slow or blocked | not tested |
-| [multilayer_perceptron.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/multilayer_perceptron.py) | either slow or blocked | not tested |
-| [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py) | either slow or blocked | not tested |
+| test_tf3.py | ok | ok |
+| test_tf4.py | ok | ok |
+| test_blas.py | runs ok, but segfault at end | ok, but segfault at end |
+| test_reductions.py | ok | ok |
+| [linear_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/linear_regression.py) | ok | ok |
+| [logistic_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/logistic_regression.py) | cost is nan | ok |
+| [nearest_neighbor.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/nearest_neighbor.py) | accuracy 0.12, seems a little low | accuracy 0.12, seems a bit low |
+| [multilayer_perceptron.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/multilayer_perceptron.py) | a bit slow, otherwise seems ok | a bit slow, otherwise seems ok |
+| [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py) | cost looks ok, accuracy seems broken | cost looks ok, accuracy seems broken |
 
 ## Design/architecture
 
@@ -136,6 +120,11 @@ Piccie of running Aymeric Damien's [linear_regression.py](https://github.com/hug
 
 ## News
 
+- Nov 10:
+  - released wheel v0.13.0
+     - beignet test results fairly solidly match K520 results now
+     - fixed the regression on `not_equal` operator
+     - removed the spam from memory copy  
 - Nov 9:
   - fixed unary and binary operators on beignet
   - note that the tools/bazel.rc.templ has changed.  Please make sure to copy the new value into tools/bazel.rc, or re-run configure (probably need to do `bazel clean` anyway, so might as well do `./configure`)

tensorflow/stream_executor/cl/test/test_tf3.py

@@ -35,7 +35,7 @@ def test(tf_func, py_func):
     'maximum': 'np.maximum(a,b)',
     'pow': 'np.power(a,b)',
     'squared_difference': '(a - b) * (a - b)',
-    #'not_equal': 'np.not_equal(a, b)'
+    'not_equal': 'np.not_equal(a, b)'
 }
 for tf_func, py_func in funcs.items():
     test(tf_func, py_func)