GitLab

Makes the optimals into a std::set<std::size_t>
Changes shape object functions to handle the opts change
Changes to convolution, flatten, pooling, and convolution in that they no longer calculate the output optimal dimensions. Instead returns empty opts. Will need to change this in the future if we want to support dynamic shapes fully.
Many changes to tests and shape calls with respect to the new optimals

Extends the Argmax operator to handle dynamic input shapes.
Only shape function changes

Reduce header inclusion in op headers

Updated each source file in the repo with the existing license.

allow nonstd shape for the arg ops, non-standard shapes include broadcast, slice and transpose

* Normalize compute functions

* Formatting

* Save normalization flag to the file

* Formatting

* Remove tuned functions

* Formatting

* Use in_index
Co-authored-by: Shucai Xiao <shucai@gmail.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* initial testing

* initial testing

* add dequantize

* formatting

* add tests

* formatting

* revert file

* add parse files

* formatting

* add axis tuning and fix tests

* formatting

* add tests and fix int8

* formatting

* fix tidy

* test with int32

* add default name and change string to upper

* formatting

* remove boost call

* refactor to use tune_axis)

* formatting

* add a pass to normalize ops

* clang format

* add unit tests

* clang format

* code backup

* clang format

* code backup

* clang format

* add support for slice in the normalize_op function

* clang format

* add operation method api for whether we need to call normalize_op

* clang format

* fix review comments

* clang format

* rename a function namejJ

* clang format

* change compute_shape to normalize_compute_shape for corresponding operators

* clang format

* remove unnecessary code

* fix various issues

* clang format

* add attributes to operators having axis attributes

* clang format

* fixed jenkins build error

* clang format

* fix a bug related to slice

* clang format

* code backup

* clang format

* code backup

* clang format

* rename a file

* fix cppcheck error

* some code refinement

* clang format

* change attributes to enum

* clang format

* refine the enum

* clang format

* remove unnecessary code

* add unit tests for more code coverage and fixed a bug

* clang format

* remove unnecessary changes

* change normalize_axes to normalize

* clang format

* revert back the changes in broadcast.hpp

* rename normalize_axes to normalize

* fix review comments

* clang format

* Add flag to enable cpu backend

* Make buffers shared

* Enable optimizations

* Formatting

* Try to avoid ambiguous assign in value class

* fixed a build error

* clang format

* add the normalize_ops pass to the ref target

* refactor program to module to normalize_ops pass
Co-authored-by: Paul <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* Register ops for main migraphx

* Formatting

* Register cpu ops

* Formatting

* Show list of operators in the driver

* Formatting

* Simplify regiter

* Try to register gpu ops

* Fix compiler errors

* Register rest of the gpu operators

* Add some tests

* Formatting

* Fix gcc compiler warnings

* Formatting

* Fix tidy warnings

* Fix compile error

* Use correct op name

* Register layer norm

* Use const ref

* Make run const

* improve unsqueeze to support negative axis and parsing scalar

* clang format

* add a test example for the negative axis of unsqueeze

* improve the squeeze operator to support negative axis

* clang format

* fixed a small bug in the lrn implementation

* clang format

* support negative axis in argmax and argmin

* clang format

* improve flatten to support negative axis

* clang format

* change softmax/logsoftmax to support negative axis

* clang format

* improve transpose by adding default perm

* clang format

* add one more dimens for tensor size

* add one more dimens for tensor size

* disable conv ops fusion for non-symmetric cases

* clang format

* fixed review comments

* move computing axis from the device function to the compute function

* clang format

* move computing axis from device function to the operator computing function

* clang format
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>