tensorflow-coder - pypi Package Compare versions

Comparing version 0.0.1 to 0.0.2

tf_coder/version.py

+# Copyright 2020 The TF-Coder Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Version for TF-Coder."""
+
+__version__ = '0.0.2'

PKG-INFO

 Metadata-Version: 2.1
 Name: tensorflow-coder
-Version: 0.0.1
+Version: 0.0.2
 Summary: TensorFlow Coder (TF-Coder): A Program Synthesis Tool for TensorFlow
@@ -70,4 +70,4 @@ Home-page: https://github.com/google-research/tensorflow-coder
         TF-Coder currently does not support complex or string tensors, or RaggedTensors.
-        The full list of supported operations can be found here(TODO: link to the list
-        in Colab).
+        The full list of supported operations can be found in the
+        [Colab notebook](https://colab.research.google.com/github/google-research/tensorflow-coder/blob/master/TF-Coder_Colab.ipynb#scrollTo=Q6uRr4x9WHRC).
         
@@ -74,0 +74,0 @@ In addition, TF-Coder only guarantees that its solutions work for the given

README.md

@@ -62,4 +62,4 @@ # TensorFlow Coder (TF-Coder)
 TF-Coder currently does not support complex or string tensors, or RaggedTensors.
-The full list of supported operations can be found here(TODO: link to the list
-in Colab).
+The full list of supported operations can be found in the
+[Colab notebook](https://colab.research.google.com/github/google-research/tensorflow-coder/blob/master/TF-Coder_Colab.ipynb#scrollTo=Q6uRr4x9WHRC).
 
@@ -66,0 +66,0 @@ In addition, TF-Coder only guarantees that its solutions work for the given

tensorflow_coder.egg-info/PKG-INFO

 Metadata-Version: 2.1
 Name: tensorflow-coder
-Version: 0.0.1
+Version: 0.0.2
 Summary: TensorFlow Coder (TF-Coder): A Program Synthesis Tool for TensorFlow
@@ -70,4 +70,4 @@ Home-page: https://github.com/google-research/tensorflow-coder
         TF-Coder currently does not support complex or string tensors, or RaggedTensors.
-        The full list of supported operations can be found here(TODO: link to the list
-        in Colab).
+        The full list of supported operations can be found in the
+        [Colab notebook](https://colab.research.google.com/github/google-research/tensorflow-coder/blob/master/TF-Coder_Colab.ipynb#scrollTo=Q6uRr4x9WHRC).
         
@@ -74,0 +74,0 @@ In addition, TF-Coder only guarantees that its solutions work for the given

tensorflow_coder.egg-info/SOURCES.txt

@@ -17,2 +17,3 @@ README.md
 tf_coder/tf_functions_test.py
+tf_coder/version.py
 tf_coder/benchmarks/__init__.py
@@ -19,0 +20,0 @@ tf_coder/benchmarks/all_benchmarks.py

tf_coder/__init__.py

@@ -17,2 +17,4 @@ # Copyright 2020 The TF-Coder Authors.
 
-__version__ = '0.0.1'
+from tf_coder import version
+
+__version__ = version.__version__

tf_coder/benchmarks/google_benchmarks.py

@@ -252,13 +252,11 @@ # Copyright 2020 The TF-Coder Authors.
           inputs=[
-              [10, 20, 30, 40, 50,
-               13, 17, 19,
-               21, 22, 23],
-              [1, 1, 1, 1, 1, 0, 0, 0, 2, 2, 2],
+              [1, 1, 1, 0, 0, 2],
+              [10, 20, 30, 14, 15, 26],
           ],
-          output=[13, 17, 19, 10, 20, 30, 40, 50, 21, 22, 23]
+          output=[14, 15, 10, 20, 30, 26]
       ),
   ]
   constants = []
-  description = 'reorder segments'
-  target_program = 'tf.gather(in1, tf.argsort(in2, stable=True))'
+  description = 'sort the segments'
+  target_program = 'tf.gather(in2, tf.argsort(in1, stable=True))'
   source = 'Real task encountered by Googler, 8/9/2019'
@@ -265,0 +263,0 @@ return benchmark.Benchmark(examples=examples,

tf_coder/benchmarks/stackoverflow_benchmarks.py

@@ -489,13 +489,13 @@ # Copyright 2020 The TF-Coder Authors.
           inputs=[
-              [[0.6, 0.1, 0.3],
-               [0.1, 0.2, 0.7],
-               [0.5, 0.4, 0.1],
+              [[0.7, 0.2, 0.1],
+               [0.4, 0.5, 0.1],
+               [0.4, 0.4, 0.2],
                [0.3, 0.4, 0.3],
                [0.0, 0.0, 1.0]],
           ],
-          output=[[1., 0., 0.],
-                  [0., 0., 1.],
-                  [1., 0., 0.],
-                  [0., 1., 0.],
-                  [0., 0., 1.]]
+          output=[[1, 0, 0],
+                  [0, 1, 0],
+                  [1, 0, 0],
+                  [0, 1, 0],
+                  [0, 0, 1]]
       ),
@@ -505,3 +505,3 @@ ]
   description = 'compute argmax in each tensor and set it to 1'
-  target_program = 'tf.one_hot(tf.argmax(in1, axis=1), 3)'
+  target_program = 'tf.cast(tf.one_hot(tf.argmax(in1, axis=1), 3), tf.int32)'
   source = 'https://stackoverflow.com/questions/44834739/argmax-on-a-tensor-and-ceiling-in-tensorflow'
@@ -508,0 +508,0 @@ return benchmark.Benchmark(examples=examples,

tf_coder/value_search/value_search_settings.py

@@ -30,5 +30,5 @@ # Copyright 2020 The TF-Coder Authors.
         'Value search, '
-        'Naive Bayes description handler (k=3, p=0.5), '
+        'TF-IDF (k=5, min_score=0.15), '
         'tensor features model with F_1 loss and max weighting, '
-        '2020/03/12')
+        '2020/08/26')
 
@@ -35,0 +35,0 @@ # Time limit in seconds.

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Improved metrics

Total package byte prevSize

555397

0.17%

Number of package files

75

1.35%

Lines of code

11523

0.12%