GitLab

Upgraded Dockerfiles and fixed tidy issues to make Ubuntu 20.04 and ROCm 5.3.0 the default 

Removes use_dynamic_same_auto_pad
Change padding_mode to be used for dynamic padding
Move compute_padded_shape to pad_calc.cpp as it will be used in other dynamic padding cases
Fix same_lower compute_padded_shape bug and add a test.

Weird bug with ref padding shape
still need to change parse_convolution

* Dynamic shape handling in shape object

* rewrite empty lens multibroadcast test

* Shape class changes to handle dynamic
* More throw errors for functions that don't make sense for dynamic shape
* Print output changes
* Serialization changes

* Fixing serialization errors

* Remove const on dyn_dim copy getters

* Dynamic shape tests

* Fix serialize errors

* Add dyn_data struct to avoid ambiguous constructor

* Tidy fix: emplace_back() over for loop

* Tidy fix: use move

* Use std::initializer_list in constructor
Reverts the dyn_data struct change
Should get around the ambiguous braced initialization list error

* avoid typedef

* element_space, min,max,opt _lens change

* formatting

* Comments fix

* dynamic bytes() test

* Seralize and reflect changes

* formatting

* Test the dynamic lens functions

* progress

* Formatting

* Dynamic conv draft progress

* Add operator<< tests for coverage

* Coverage update

* Add to conv dynamic batch test

* Dynamic image size test

* Dynamic weight handling

* Dyn image shape test change, fix dyn weight cond

* Comment update

* Dynamic weights shape test and fix

* Use ternary operator

* Tidy fixes

* Handle dynamic graph input shapes in ONNX parser

* Formatting

* Handle dynamic shape for convolution

* formatting

* cppcheck fixes

* Add onnx test files

* Fix typo

* Disable auto_pad for dynamic input shape

* check_shapes object checks for allowing dynamic shapes

* Fix any_of

* Change to maintain const objectness

* Formatting

* Check shapes allow dynamic

* Refactor compute_shape() call into op.compute()
Allows for per operator differences with handling dynamic shape
Fix operation.hpp change to use the generator

* Comment fix

* Refactor normalize_attributes() calls to use max_lens()

* Comment addition

* Update other normalize_attributes() calls

* Change to using constructor and add tests

* Use const member function

* Add more dynamic shape support

* Add tests for error code coverage

* Fix opt shape bug and add shape tests

* capture all by ref

* Fix typo with img shape calculation

* Add more tests

* dynamic auto pad attempt
Linker error with pad_calc.cpp

* Fix parse dyn auto_pad
Should only need to use dynamic auto pad when the image shape or kernel
shape are dynamic. For a dynamic batch size, the auto pad calculation is
the same.

* Fix linking error

* Fix auto_pad bug
Fixed input tensor with auto_pad setting on

* auto_pad onnx tests

* Fix auto_pad calculation, evaluate in ref_conv
add ref_ops tests

* Add shape tests, fix bugs

* Refactor first two output dynamic len calculation

* Conv MLIR test update

* i64 MLIR test fix

* Fix MLIR test typo
Co-authored-by: Chris Austen <causten@users.noreply.github.com>

Changes to operator includes:

removed some includes that were not used
included argument.hpp where clang-tidy wanted it

Reduce header inclusion in op headers

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

* alternative impl

* formatting

* add gpu pass to insert pad

* formatting

* update onnx test, still need cleanup

* formatting

* update tf_test

* modify existing tests

* formatting

* remove print

* code cleanup

* formatting

* code cleanup

* formatting

* fix tidy and cppcheck

* remove variable

* add test

* formatting

* add test and address comments

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

* Add method to compute shape with same layout

* Formatting

* Fix permutation with ambiguous layouts

* Formatting

* Propagate layout for pointwise operators

* Formatting

* Propagate layout for more operators

* Formatting

* Sort with lens

* Formatting

* Simplify permutation sorting

* Formatting

* Propagate layout for concat operator

* Formatting

* Use copy

* Formatting

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

* Add eliminate_data_type pass

* Formatting

* Auto convert quant ops

* Formatting

* Flip the order of decompose

* Compute max size differently

* Formatting

* Clamp values in convert

* Formatting

* Fix loss of precision in reduce

* Formatting

* Fix bugs in reduction

* Fix accumulator type in reference softmax implementation

* Formatting

* Update convert test

* Remove unused variables

* Remove unnecessary quant_dot check

* Formatting

* Add tests

* Formatting

* Remove unused code

* Remove duplicate ops

* Remove blaze dependency

* Use set since shape::type_t is no hashable on gcc 5

* Formatting
Co-authored-by: Shucai Xiao <shucai@gmail.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

* initial progress

* formatting

* check existing tests

* formatting

* change for loop to transform

* formatting

* add tests

* formatting

* remove comment

* add more tests

* update gpu miopen calls

* formatting

* fix error msg
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* initial progress

* formatting

* add pooling changes

* formatting

* change eliminate_pad

* formatting

* rename var

* fomratting

* update op shape test and compute

* formatting

* revert conv constructor

* formatting

* change initializer

* formatting

* fix tidy

* change quant conv and shape check

* add tests and fixes

* formatting

* fix type

* fix conv test

* formatting

* add pooling and bn tests

* formatting

* add inconsistent attr tests

* fix padding issue

* formatting

* progress on 1d to 2d

* formatting

* change compute and compile functions

* formatting

* fix duplicate

* fix conflict

* fix issue with 1d conv

* formatting

* add check for 3d limit

* rename function

* formatting

* rename functions

* formatting

* add op_shape test

* change functions

* formatting

* change to copy_backward

* formatting

* initial progress

* formatting

* add pooling changes

* formatting

* change eliminate_pad

* formatting

* rename var

* fomratting

* update op shape test and compute

* formatting

* revert conv constructor

* formatting

* change initializer

* formatting

* fix tidy

* change quant conv and shape check

* add tests and fixes

* formatting

* fix type

* fix conv test

* formatting

* add pooling and bn tests

* formatting

* add inconsistent attr tests

* fix padding issue

* formatting

* fix review comments, remove duplicate test

* formatting

* fix variable

* fix assert bug

* fix attr check

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

fake up to make the int8_convolution outputs the int32_t data type. With MIOpen to support int32_t output shape, this tmp change will be removed.