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* Add decompose pass

* Add decompose test

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* Add remap

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* Add compute method for dot

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* Add finder for horizontal fusion

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* Reuse predicate

* Add gemm fusions

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* Add some fixes for convolution

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* Fix shape tests

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* Reuse axis equal

* Add initial split fusion

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* Update offset

* Workaround outputs that cant accept nonstandard shapes

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* Add check for split concat

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* Add missing headers

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* Add tests

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* Add more testing

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* Fix when there is duplicate splits in inputs

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* Fix mismatch iterators

* Add tests for dot fusions

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* Add test for convolution

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* Fix tidy issues

* Add more tests

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* Ignore build directory for codecov

* Add test for groups

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* Add more tests for groups

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* Add test for missing end slice

* Add newline

* Remove unused function

* Add support for when beta is not 1

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* Add test for scalar

* Add one more scalar test
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* Add compiler options

* Add copy operators

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* Use run_passes in tests

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* Use run_pass in schedule test

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* Add compile_options to get_passes in target

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* Offload copy option

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* Copy using pinned memory

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* Improve performance of gpu copying

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* Dont copy

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* Always make an extra copy

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* Remove unused write op

* Add missing include

* Remove copy_to_gpu function in python api

* Make offload copy disabled by default on C++

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* Fix tidy issues

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* Fix namespace

* Fix python tests

* Turn clang format off since its broken

* Fix compile error on gcc 5

* Remove commented code

* Fix bug in eliminate_concat

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* Skip context_free operators

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* Fix unit test

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* Enable scheduler for 1 stream

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* Improve performance of sorting

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* Adjust the weight calculation

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* Simplify formula

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* Avoid division by zero

* Fix scheduler test

* Check for either 1 or 2

* Check for waits when order may change

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add a pass to resolve the problem that hip_allocation shape is different from instruction output shape.

changed the eliminate_contiguous pass to skip the reshape operator, so onnx file exported from lstm operator can work correctly in the bidirectional case.