GitLab

update rocBLAS version check to support 3.0 and above with simplified logic

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.9.3 to 2.11.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.9.3...v2.11.1)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
...

Updates the hip::copy_to_gpu and hip::copy_from_gpu operators to work with dynamic shapes

Allows for offload_copy to be used with dynamic batch

Changed assert in select_module because the argument might now be smaller with how offload_copy will work with dynamic batch. (maximum buffer size will be used)

This fixes #1700

Solves #1311

Expose get_shape and get_operator methods for instruction_ref object in the python API.

* Use hash for docker layer
* Remove `layer-` prefix. it gets added by action automatically
* Add requirements file to docker key hash

This will show whats being replaced with a constant. This is useful for debugging where a literal comes from.

Ensure that we don't have empty inputs when computing shape for pointwise function

CI changes to improve github cache management 

Fixes the above behavior
This needs to be changed to allow for setting static shapes with map_dyn_input_dims since you cannot also use map_input_dims

Expose the shape::type_t values to be used by the python api and is required by torch_migraphx to support torchbench models.

This removes the --cxx flags from the rbuild commands since it is not necessary. Also added a section about using rbuild to set up an environment for development.

Adds a matcher to split_single_dyn_dim to find all broadcast or multibroadcast with two static shape inputs and replaces the instruction with the one input version.
Sorts the get_output_parameters() list to ensure the correct ordering. (Was getting an error for some models.)