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This causes incorrect memory coloring, which was causing the accuracy failures in the vision model when enabling the pointwise fusions. Resnet50, inceptionv3 and inceptionv4 do verify now in the driver.

Enforce types to avoid compilation error in pointwise fusions
This fixes compile failure: gpt-2, fp16 on Navi

* Enable auto vectorization
* Handle vector types with convert function
* Dont vectorize when it will cause problems with preload

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

* Improve handling of generator expressions when getting the flags for hip

* Add matcher for conv_bias pointwise
* Add fusion op

Changed the number of threads in a block from 256 to 128
Increased the max number of blocks in the kernel from 256 to 1M.
For the case that the axis is the last dimension, we removed the computation of index since it is not required.

With these change, we can get about 2x speedup compared to the develop branch for the softmax op used in the BertSquad model.

simple variable rename

Fix pointwise compile error with half sqrt 

Fix whitespace bug in fusable_conv matcher and add unit test

* Check jit kernels files with clang-tidy

Do compilation in parallel

This enables the pointwise fusions using the MIGRAPHX_ENABLE_POINTWISE_FUSION env variable. Its disabled by default since MIOpen fusions need to be refactored.

This also adds a compile_ops pass to compile the pointwise modules. All tests except test_gpu_fast_math passes with MIGRAPHX_ENABLE_POINTWISE_FUSION=1 set.

* Add workaround for devices that do not support miopen conv fusions

This PR is the ref implementation of the nonmaxsuppression operator. It always returns the max possible output shape, which is the problem tracked in issue #948.

GPU implementation of the roialign operator, using the jit approach to reduce the lib size.

Implementation of the roialign operator. For now, we have only the ref implementation. When we run a model on the GPU, we fall back the execution to use the ref implementation.

This PR is for the nonzero operator with static output shape.  
Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

Previously dot operator was defined as C = alpha * A . B + beta * C where * is scalar multiplication and . is dot product or matrix multiplication depending on dimension of the inputs.

Aim is to have the definition of dot operator as C = A . B without having alpha or beta.

In order to achieve the same effect as alpha and beta (1) it multiplies the one of the inputs to the dot operator with alpha value. (2) if beta is present then, multiplies the C with beta and then adds into the output from step 1.

Add multinomial op to onnx parser with ref and GPU implementations.

The onnx parser inserts a literal of shape {batch_size, sample_size} with random values in the range [0, 1) and inserts existing ops to compute the cumulative density function. The multinomial operator multiplies the random values by the sum of the CDF and returns the index of the first element of the CDF that is greater than the result, representing samples randomly drawn from [0, class_size) that follow the log-probability distribution.

Resolves #821
Co-authored-by: Shucai Xiao <shucai@gmail.com>

Checks wavefront size, then changes implementation and number of threads for DPP reduce

This reverts commit 9e43cb8b.

This PR aims to remove alpha and beta attributes from dot operator completely.

Previously dot operator was defined as C = alpha * A . B + beta * C where * is scalar multiplication and . is dot product or matrix multiplication depending on dimension of the inputs.

Aim is to have the definition of dot operator as C = A . B without having alpha or beta.

In order to achieve the same effect as alpha and beta (1) it multiplies the one of the inputs to the dot operator with alpha value. (2) if beta is present then, multiplies the C with beta and then adds into the output from step 1.

Add Loop operator for opset version 13.
Notes: 1) Default max iteration number is 10 if no max iteration number is provided
2) To change the max iter number, a user can set the max_loop_iterations in the onnx_option struct when parsing a model.
3) The returned shape of the scan output is from the max_loop_iterations even the actual loop num is less than that. This issue also applies to other operators like NonZero and NonMaxSuppression. A issue #948 is created to track this and to be resolved later.
Co-authored-by: Paul <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

Assert shapes dont change
Co-authored-by: Shucai Xiao <Shucai.Xiao@amd.com>

Implement the Where operator for the CPU and GPU.  This is for better performance.

* add topk operator doe ref, cpu and gpu
* Hash modules for quicker lookup of modules
* add onnx unit test
* add unit tests for the topk operator
Co-authored-by: Paul <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

In ROCm 4.5.0 hip compile flags are coming in differently.  This has
caused some parsing issues for the HIP_COMPILER_FLAGS variable.  As an example

    ROCm 4.3.0: --offload-arch=gfx900
    ROCm 4.5.0: <$<COMPILE_LANGUAGE:CXX>:SHELL:--offload-arch=gfx900>

Using existing code...
    $<$<COMPILE_LANGUAGE:CXX>:SHELL:--offload-arch=gfx900>
Becomes...
    $<$<COMPILE_LANGUAGE:CXX>:SHELL:

There are two problems with that.
  1) The "<" is not balanced with a "> due to the regex consuming the ">"
  2) There is still a `SHELL:`  label.

This commit repairs both.  I took the regex parsing code from ROCmSoftwarePlatform/MIOpen/blame/develop/CMakeLists.txt
but improved it to support handling of target features like
<$<COMPILE_LANGUAGE:CXX>:SHELL:--offload-arch=gfx900:xxx+>
Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>

* fix two asserts for debug build

* add unit test for copy parameters

* clang format

* add a unit test for reorder_dims

* change tranpose to always require perm not be empty

* clang format

* remove an unnecessary line

* fix tidy error

* fix review comments

* rename broadcast and multibroadcast output_lens attribute to out_lens attribute, and change tests and source code to reflect the same

* change the reshape attribute from dims to out_lens

* change transpose attribute's name from dims to perm to reflect better meaning

* use permutation instead of perm for transpose

clang formaating

* use dims instead of out_lens for reshape

clang formatting

* Enable warnings when jit compiling

* Formatting

* Add operators, refactor parsers, add rewrite passes, add tests

* Add ref implementations

* Move broadcasting of scales and zero points to onnx parser

* Allow for x and zero_point to have different types in quantizelinear; fix zero_point default type

* Switch certain variables to int64_t

* Fix overflow in implicit constant conversion

* Remove operators.hpp from includes in tf_test.cpp

* Add conversion for int32 input to quantizelinear and add test case; remove operators.hpp from onnx_test.cpp includes

* Switch dequantizelinear math from int32 to float

* Remove changes to operators.hpp

* Simplify apply_quantizelinear

* Add verify test for int32 data

* Add rewrite_quantization back to CMakeLists

* Add passes to insert qdq after add_bias is applied, replace quant_ops, and remove remaining qdq pairs

* Renaming, refactoring, cleaning up code, adding formal test, and adding passes to targets

* Renaming, review comments, begin adding more specific tests

* Add more specific unit tests

* Fix failing test on CI

* Correct matcher and update qop rewriting, update tests and add more tests

* Update matcher, clean up simplify_qdq, tweak tests

* Add tests, remove pass from CPU target, update dot parameters, clean up simplify_qdq

* Fix correctness bug in ref q/dq implementations; edit gemm parser to make beta always 0.0

* Remove unused variables in onnx gemm tests

Co-authored-by: Chris Austen <causten@users.noreply.github.com>

* Add hiprtc compile option
* Add cross compile test
* Update error reporting
* Add tests for errors and warnings
* Fix tidy warning
* Add comment to ifdefs
* Skip null character at end of log
* Assert there is null at the end

* check for divisor encodable or not, fallback if needed

* verify test for retinaface case

* Add method to compile pointwise

* Formatting

* Add lambda

* Add semicolon

* Rename variable

* Add driver to run jit kernels

* Formatting

* Add context

* Formatting

* Make seperate driver folder

* Add more general gpu driver

* Formatting

* Print out wll time

* Formatting

* Run multiple times and skip first run

* Formatting

* Seperate time_op

* Run an op for comparison

* Formatting

* Add debug asserts

* Formatting

* Change parameer name

* Formatting

* Fix argument order

* Formatting

* Add preloading

* Formatting

* Allow a different data type

* Formatting

* Pipeline transformations

* Formatting

* Add vectorization

* Formatting

* Reduce dims

* Formatting

* Compile with launch params as constant

* Formatting

* Make sure buffer can be vecotrized

* Formatting

* Enable vectorization and preloading

* Formatting

* Add print header

* Formatting

* Avoid allocating to large of LDS

* Formatting

* Add some vec functions to a seperate header

* Formatting

* Add stride loops

* Formatting

* Improve the transform pipeline

* Formatting

* Add const

* Fix shape check

* Formatting

* Just check stride axis is zero

* Remove extra finc_vector_axis overload

* Simplify some mroe functions

* Formatting

* Remove some more extra functions

* Formatting

* Simplify more decltypes

* Add another const

* Fix test

* Get buffer pointer different for older compilers
Co-authored-by: Shucai Xiao <shucai@gmail.com>
Co-authored-by: Chris Austen <causten@users.noreply.github.com>

* Add operators, refactor parsers, add rewrite passes, add tests

* Formatting

* Fix cppcheck

* Review comments

* Formatting

* Combine rewrite passes

* Formatting

* Add ref implementations

* Formatting

* Review comments

* Formatting

* Tidy warnings

* Apply review comments

* Formatting

* Fix CI error

* Formatting

* Increase code coverage

* Formatting

* Move broadcasting of scales and zero points to onnx parser

* Formatting

* Allow for x and zero_point to have different types in quantizelinear; fix zero_point default type

* Formatting

* Increase code coverage

* Formatting

* Switch certain variables to int64_t

* Formatting

* Fix overflow in implicit constant conversion

* Formatting

* Increase code coverage

* Formatting

* Remove operators.hpp from includes in tf_test.cpp

* Formatting

* Add conversion for int32 input to quantizelinear and add test case; remove operators.hpp from onnx_test.cpp includes

* Formatting

* Switch dequantizelinear math from int32 to float

* Formatting

* Remove changes to operators.hpp

* Simplify apply_quantizelinear

* Formatting

* Add verify test for int32 data

* Add rewrite_quantization back to CMakeLists

* Unify device_name function

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