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Block sparse merged #452
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Block sparse merged #452
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and lots of other stuff
and updated reshape to accept both int and Index lists
* added test for mps switch backend * added switch backend method to MPS * added test for network operations switch backend * make sure switch_backend not only fixes tensor but also node property * added switch_backend to init * added missing tests for network operations * some linting issues
concat function * rename from cocate to shape_concat shape function * rename from shape to shape_tensor prod function * rename from prod to shape_prod * function name is duplicated in shell_backend.py * rename existing shape_prod function to shape_product * need to change the name later Co-authored-by: Chase Roberts <keeper6928@gmail.com>
* Add files via upload Added SAT Tutorials * Update SATTutorial.ipynb * Update SATTutorial.ipynb * Update SATTutorial.ipynb * Update SATTutorial.ipynb * License changed * Created using Colaboratory Co-authored-by: Chase Roberts <chaseriley@google.com>
* added test for mps switch backend * added switch backend method to MPS * added test for network operations switch backend * make sure switch_backend not only fixes tensor but also node property * added switch_backend to init * added a lot of tests for network components * a lot more tests * some more tests * some linter things * added test base class instead of hack * disabled some pytype warnings * disabled some pylint warnings
…_envs (google#440) * Return empty dict for empty input to MPS envs * Add tests for empty sequence input to MPS envs * Use explicit sequences for MPS envs tests Co-authored-by: Chase Roberts <chaseriley@google.com>
* A context manager support implementation for setting up a backend for Nodes. (Issue google#339) * Stack-based backend context manager implementation * code styele fix * Added get_default_backend() function which returns top stack backend. Stack returns config.default_backend if there is nothing in stack. A little clean-up in test file. * - Moved `set_default_backend` to the `backend_contextmanager` - `default_backend` now is a property of `_DefaultBackendStack` - removed `config` imports as an unused file. - fixed some tests in `backend_contextmanager_test.py` * little code-style fix Co-authored-by: Chase Roberts <chaseriley@google.com>
…de class (google#439) * BaseNode / Edge class text input protection added (google#423) BaseNode class - Add protection to name, axis_names *Protected in 3 place *Initialize stage - __init__ *Function use setting - set_name / add_axis_names *Property - Add @Property to name to protect direct adding node.name = 123 Edge class - Add protection to name *Protected in 3 place *Initialize stage - __init__ *Function use setting - set_name *Property * BaseNode / Edge class text input protection code revise (google#423) *if type(name) != str *if not isinstance(name, str) *change using type to isinstance to follow pylint * Algebraic operation add( + ), sub( - ), mul( * ), div( / ) for BaseNode class (google#292) *[BaseNode class] - add / sub / mul / truediv NotImplemented function Added *[Node class] - add / sub / mul / truediv function added *[CopyNode class] - overload the BaseNode mul / truediv as NotImplemented *[basebackend] - add / sub / mul / div NotImplemented function added *[numpy / tensorflow / pytorch] - add / sub / mul / div function added *[shell] - add / sub / div NotImplemented function added *Testing files [network_components_free_test] * Exception - Tensorflow is not tested when the operand is scalar * 1. Check add / sub / mul / div with int / float / Node * 2. Check implicit conversion * 2. Check the Type Error when type is not int / float / Node * 3. Check is the operand backend same * 4. Check is BaseNode has attribute _tensor [backend_test - numpy / tensorflow / pytorch] *check add / sub / mul / divide work for int / float / Node * Add test cases for Tensorflow Algebraic operation and fix add, sub name (google#292) [Change name] *add -> addition *subtract -> substraction [Add test case for Tensorflow] * Specify the datatype to resolve the conflict between different dtype operation [Test case for pytorch / jax] * pytorch - [int / int -> int] give different answer for torch when it is dividing two integer * jax - Different from other backend jax backend return 64bits dtype even operate between 32bits so put exceptional dtype test case for jax backend * Add test cases for Tensorflow Algebraic operation and fix add, sub name (google#292) [Change name] *add -> addition *subtract -> substraction [Add test case for Tensorflow] * Specify the datatype to resolve the conflict between different dtype operation [Test case for pytorch / jax] * pytorch - [int / int -> int] give different answer for torch when it is dividing two integer * jax - Different from other backend jax backend return 64bits dtype even operate between 32bits so put exceptional dtype test case for jax backend * Add __add__, __sub__, __mul__, __truediv__ to TestNode Class Co-authored-by: Chase Roberts <chaseriley@google.com>
* None checks added for constructors * Changes in None check and resolve comments
* added test for mps switch backend * added switch backend method to MPS * added test for network operations switch backend * make sure switch_backend not only fixes tensor but also node property * added switch_backend to init * missing test for backend contextmanager * notimplemented tests for base backend * added subtraction test notimplemented * added jax backend index_update test * first missing tests for numpy * actually catched an error in numpy_backend eigs method! * more eigs tests * didnt catch an error, unexpected convention * more tests for eigsh_lancszos * added missing pytorch backend tests * added missing tf backend tests * pytype * suppress pytype Co-authored-by: Chase Roberts <chaseriley@google.com>
… block_sparse_merged
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shoot, I think this is because I fetched the upstream/master and merged it locally into my branch prior to submitting the PR ... |
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cleaned up code