GitLab

also added the PYTHON_DISABLE_VERSIONS cmake variable to disable python versions.

out-of-bounds access when generate uses nonpacked tensors and add some additional asserts for gpu memory.

ref implementation of the gemm op is sequential, this PR is to parallelize the gemm computation in the ref implementation.

Change the "scatter" struct and op to a base/child set of three: scatter_none, scatter_add, scatter_mul to mirror Onnx' ScatterElements op. and its three reduction options. (Onnx Scatter op is deprecated and is equivalent to scatter_none.)

Provides both a reference op. and update to Onnx parsing. Tests updated and new test case added.

When create a tensor_view with vector date type, the last dimension of the shape should be divided by the vec_size.

* Fix comparisons in migraphx::value class

Adds following API binding and tests to python :

add_return
add_instruction
add_parameter
create_module.

Documentation update for valid targets

This adds the infrastructure so we can compile everything in parallel, whereas before only pointwise kernels were compiled in parallel. This will also directly integrate with lowering and the gpu-driver. The kernels for pointwise and roialign are using this infrastructure. Scatternd is not since it does require standard shape.

This also makes it easier to add new runtime compiled kernels in the future.

Use ifdef instead of comment for the auto-generated method declarations for type erased classes (#1138)

It seems the formatting of comments are unreadable for larger methods, so instead just generate a struct with the methods in the interface and add a comment if its optional. It wraps this in #ifdef TYPE_ERASED_DECLARATION(assuming this would never be defined) instead of #if 0, so most editors can still provide syntax highlighting(although I think vscode with clangd will still gray it out unfortunately).

* Use ccache for runtime compilation

* Handle string literal in construction
* Improve get_default with vector

This creates a custom op which has name() and compute_shape() methods. 

Operators using arg.reshape() method the lifetime will be extended.

* LpNormalization ONNX parser

Add exclusive and reverse modes to gpu implementation of prefix_scan_sum, which completes support for ONNX op CumSum

The get_context may change in the future(when we support multi-targets) so make this experimental for now.

API includes following
create_module,
get_main_module
add_instruction without module args
add_instruction with module args
add_parameter
add_return

This adds iterators to tensor_view, which can allow kernels to work with non-standard shapes like for roialign.

To improve the performance of indexing when using the iterators, the shape class was updated to use integral_constants since the compiler doesn't always fold the const values. An integral_constant will at least enforce that in the AST.

Finally, since index calculations with single integers are improved, I also updated pointwise to use single index rather than multi index. There is about 4% improvement in some cases.

change max number of groups in a kernel to 1B for greater performance

* Show the operator fields in the driver