| fcb7d92f70cfbbbea0c7ac11346b369fe5e6bd0c |
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13-Feb-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Use a more advanced py_func wrapper, one that allows non-tensor args to be passed directly to the wrapped function.
PiperOrigin-RevId: 185583023
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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| 65e8efa179bc9d75f6fe9a40d2ae1c9ec26e6b47 |
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08-Feb-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
More updates:
* add a verbose flag, useful for debugging
* fix the canonicalization of old-style print statement
* fix broken py_func wrapper
* expand the conditional statement to return a dummy value if we cannot fine any return values, and call without an assignment so that the side effect guards catch it instead
* streamline the converter tests a bit more
* avoid aliasing "tf" and "self" in the side effect guards
* improve the namer to generate shorter names
PiperOrigin-RevId: 185002802
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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| 6a822c373818948037baacfbae1c7355e0fc2c48 |
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05-Feb-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Expand the activity analysis to composite names.
Fix a bug in the cond template that caused bad syntax when there it no symbol that needs aliasing.
More refactoring in the process, including:
* introduce the QN (qualified name) class to hold symbol information; it has value semantics and can generate the original symbol, a corresponding AST tree or a single-symbol form (e.g. "a.b" -> a_b)
* allow the template mechanism to use QNs for substitutions
* annotate *all* symbol nodes with their corresponding QN object; this is done as first step during static analysis, and automatically performed on all template expansions
* start using typed annotation keys (Enum values) instead of plain strings
* rename access.py to activity.py
* sanitize nodes in template expansion by deep copying the AST without annotations, to avoid common references
PiperOrigin-RevId: 184528586
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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| 95a8af24058c168ce8a5327451e1cfcbc56461eb |
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29-Jan-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Ensure that non-recursive conversion is identity transformation wrt all types of function calls by only failing on unresolved symbols if they're needed.
Simplify code structure all around. Remove the awkward activity analysis that deemed a function parameter as "modified". Consolidate activity analysis by tracking function parameters and returned symbols separately. Strengthen the type inference a little by using more interpret-like constructs.
PiperOrigin-RevId: 183705547
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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| 949dd29d3a8bdc21328c9e94721b344310686eab |
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25-Jan-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Simplify the template mechanism by specifying templates using multi-line strings instead of functions. This loses the syntax verification on templates, but it avoids the clutter of lint overrides and the duplication of parameter names, so things are more readable.
Addresses #16318
PiperOrigin-RevId: 183260854
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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| 4153e7afff4e17bbef866bd4811b0392ddb25b53 |
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25-Jan-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Refactoring pass.
Add a container context class to shorten argument lists and expose context information in a more organized manner.
Clean up names, docs and tests.
Rename submodule to avoid clashing with the new @covert decorator.
PiperOrigin-RevId: 183174971
/external/tensorflow/tensorflow/contrib/py2tf/converters/call_trees.py
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