GitLab

Handles all 4 Fp8 dtypes listed here : https://onnx.ai/onnx/technical/float8.html
Follows saturation/clipping logic from table there as well : https://onnx.ai/onnx/technical/float8.html#cast
Only adding fp8e4m3fnuz in MIGraphX IR for now.

Reduce memory footprint by std::move of temporary (potentially very large) containers.
Minor cleanup for performance optimization: e.g. of Index() calculation -- which can get repeated millions of times in large tensors/vectors in a single Visit.

Throwing on these calls catches dynamic shape errors earlier rather than having to backpedal from a bad call

Export API symbols for migraphx, migraphx_ref, migraphx_cpu, migrphx_gpu, migraphx_device, migraphx_tf, and migraphx_onnx. There is a separate PR for migrahx_c.

API symbol exporting affects only Windows. It is transparent on Linux.

* Fix convert for the NaNs

* NaNs can't be compared, use std::isnan()

* formatting

* formatting

* formatting

* add extra tests

* fix parse_instancenorm to create broadcast and multibroadcast instructions with two dynamic shape arguments instead of 1.  Their make_op() functions don't support dynamic shapes when called with one input.  This caused an error when parsing an ONNX 3duunet model

* Use add_common_op() to create multibroadcast op.

* add verification and parsing test for instance_norm with dynamic input.  Parse test doesn't pass.

* fix for test; still doesn't pass

* another fix for test; still doesn't pass

* work in progress, instance_norm_dyn_batch_test works but instance_norm_test doesn't

* fix onnx instancenorm tests to match parser changes.  Passes all check tests

* Updated comments explaining usage of add_common_op()

* hand-merged conflicts with develop

* fix instance_norm_half_test after merge

* add Onnx test instance_norm_dyn_batch_half_test

* add shape test cases broadcast_1in_dyn_error and multibroadcast_1in_dyn_error_0

Changed the doc for find_permutation(shape) to be more clear that it is finding the permutation that would make the shape standard

Solves #1311

Examples..

bin/driver verify /codes/onnx_models/resnet50-v1-7/resnet50-v1-7.onnx --split-single-dyn-dim --batch 3 --dyn-input-dim @data "[{min:1, max:4}, 3, 224, 224]"

bin/driver compile /codes/onnx_models/resnet50-v1-7/resnet50-v1-7.onnx --split-single-dyn-dim --default-dyn-dim "{min:1, max:10}" --output resnet50_batch1-10.mxr

bin/driver perf resnet50_batch1-10.mxr --batch 4

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

Creates the select_module operator that selects one of the submodules passed to it to run based on the submodule parameters.  The submodule is selected by having the exact same static shapes for the arguments to select_module as the parameters in the submodule

Extends pad operator to handle dynamic input shapes
Only handles computing the shape for adding constant padding to a dynamic shape
- adds the padding to the min, max, and opt values (unless opt is 0, where it keeps it 0)
- does not handle reflect padding with dynamic shapes

Implements the operator==(dynamic_dimension, size_t) functions

Updated Multibroadcast op to have a two input version for dynamic shapes
Current dynamic shape broadcasting logic
dynamic_dimensions must be the same or one of them is {1, 1, 0} or {1, 1, 1}
Works for dyn-dyn, dyn-static, and static-static shape combinations
Changed common.cpp for multibroadcasting for binary ops with dynamic shapes
Extended binary.hpp for dynamic shapes to test the new common.cpp stuff

Initial sketch for changes to shape to handle dynamic dimensions

* Add mlir c api

* Formatting

* Create a type attribute

* Formatting

* Parse module

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* Add mlir dump function

* Add test case

* Formatting

* Fix tidy issues

* Update mlit version

* Update to newer mlir

* Format

* Move mlir to the gpu and update the test

* Formatting

* Fix bug when appending module

* Format

* Remove old cmake flag

* Update message

* Add return

* Format

* Add mlir_compile

* Format

* Register dialect

* Handle unsinged integers

* Dont provide output for return instruction

* Format

* Add code to insert memrefs

* Format

* Add mlir verification

* Formatting

* Enable pointwise_fusion

* Disable eliminate_data_type

* Set kernal name

* Format

* Fix device name

* Formatting

* Fix output arg

* Format

* Updates

* Upate hash

* Add fuse_mlir pass

* Format

* Add fuse mlir

* Format

* Update mlir

* Sort parameter names

* Format

* Reenable disabled passes

* Remove old mlir conv

* Remove asym default padding

* Add more verbose tracing

* Format

* Fix compilation errors

* Format

* Whitelist operators

* Format

* Add namespace

* Format

* Update triple

* Format

* Use func dialect

* Format

* Use func.return

* Format

* Upgrade mlir version

* Add comment

* Handle symetrical padding

* Format

* Cleanup debug output

* Format

* List failed tests

* Move mlir compile to jit pipeline

* Format

* Update version

* Add source locations

* Format

* Correctly add module

* Format

* Update failed tests

* Fix failures when mlir is disabled

* Format

* Update mlir version

* Check type for fp32

* Format

* Remove failed test

* Update mlir in driver

* Tidy fixes

* Foramt

* Tidy fixes

* Format

* Fix const

* Remove from requirements

* Fix cmake version

* Fix tidy warning

* Use another ifdef

* Fix tidy

* Other tidy fix

* Format

* Update hash

* Add missing license files

* Format

* Format

* Fix fnction name

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

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

Update the base version of clang-format from 5.0 to 10.0

Add with_type to shape class

* Add definitions for all pointwise operators

* Formatting

* Add cpp generator class

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* Move compilation to core

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* Add clock to tmp name

* Add dynamic loader

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* Add tests for code gen

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* Add test for literals

* Formatting

* Use with_char

* Add missing header

* Fix mismerge

* Ignore tidy warning

* Fxx gcc 5 errors

* Apply fixits

* Skip signed bitwise of status

* Remove unused parameters

* Explicitly add c++14 flag

* Fix tidy warning

* Add tuple type to shape class

* Formatting

* Make data member private

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* Add sub arguments

* Formatting

* Trun clang format off

* Disable clang-format

* Improve visiting tuples

* Formatting

* Add more argument tests

* Formatting

* Handle tuple in load

* Formatting

* Remove .o files

* Add tuple type to api

* Formatting

* Fix tidy warnings

* Fix tidy warnings

* Add a test for share method

* Formatting

* Add a test cpp_type

* Suppress tidy warning
Co-authored-by: Shucai Xiao <Shucai.Xiao@amd.com>

* Add definitions for all pointwise operators

* Formatting

* Add cpp generator class

* Formatting

* Move compilation to core

* Formatting

* Add clock to tmp name

* Add dynamic loader

* Formatting

* Add tests for code gen

* Formatting

* Add test for literals

* Formatting

* Use with_char

* Add missing header

* Fix mismerge

* Ignore tidy warning

* Fxx gcc 5 errors

* Apply fixits

* Skip signed bitwise of status

* Remove unused parameters

* Explicitly add c++14 flag

* Fix tidy warning

* Remove .o files

* Add method to compute shape with same layout

* Formatting

* Fix permutation with ambiguous layouts

* Formatting

* Propagate layout for pointwise operators

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* Propagate layout for more operators

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* Sort with lens

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* Simplify permutation sorting

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* Propagate layout for concat operator

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* Use copy

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

* Add eliminate_data_type pass

* Formatting

* Auto convert quant ops

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* Flip the order of decompose

* Compute max size differently

* Formatting

* Clamp values in convert

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* Fix loss of precision in reduce

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* 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>

* Add flag to enable cpu backend

* Make buffers shared

* Enable optimizations

* Add onednn

* Formatting

* Formatting

* Add dnnl header

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* Rewrite rnn first

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* Call reference implementation

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* Make literal data shared

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* Add convolution

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* Compensate for dilation

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* Use name/make_op instead

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* Rename gemm header

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* Add dnnl convolution/gemm operators

* Formatting

* Add eliminate_contiguous

* Add faster pointwise operators

* Formatting

* Formatting

* Formatting

* Add dnnl op class

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* Add add op

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* Add concat operator

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* Add more ops

* Create descriptor during finalization

* Formatting

* Dont rewrite pooling

* Enable memory coloring

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* Add output aliases

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* Fix errors

* Formatting

* Convert literals

* Add missing file

* Remove batch_norm

* Formatting

* Use strides

* Formatting

* Add some debug checks

* Formatting

* Fix big in adjusting shape for gemm

* Formatting

* Fix fallback dot operator

* Zero initialize buffers

* Add suport for group convolutions

* Formatting

* Make adjust allocation target independent

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* Enable adjust_allocation for gpu/cpu

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* Add copy to allocation model

* Formatting

* Add copy operator

* Formatting

* Better handling of output parameters in adjust_allocation

* Formatting

* Build with dnnl

* Make dnnl required

* Fix compile error

* Tidy fixes

* Formatting

* Tidy fixes

* Formatting

* Fix more tidy issues

* Formatting

* Add mul op

* Add mul op

* Set c compiler to clang as well

* Compensate for normalized compute shape

* Formatting

* Fix cppcheck errors

* Formatting

* Add onednn library to hcc

* Guard clang pragmas

* Disable cpu mode for gcc for now

* Leave it enabled it for gcc 7

* Fix cppcheck suppresion

* Fix compile error on gcc 5

* Remove unused code
Co-authored-by: Shucai Xiao <shucai.xiao@amd.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* add bool type

* code backup

* code backup

* clang format

* fix build warnings

* clang format

* add the equal operator

* add the equal operator

* clang format

* remove unnecessary code

* refine unit tests

* clang format

* fix review comments and a bug

* clang format

* additional changes

* clang format

* fix cppcheck error

* add bool type in c api

* fix cppcheck error

* fix review comments

* fix cppcheck error

* fix a build error related to gcc

* fix cppcheck error

* fix cppcheck error

* added the equal operator to register list

* add parsing boolean type

* clang format

* fix bool type issue for python output

* clang format

* add support for automatic multibroadcast of the equal operator

* additional unit tests for more code coverage

* clang format

* missing an onnx file
Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>

* Add initial serialization

* Formatting

* Add unit tests

* Formatting

* Add tests for serialization

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* Use or not and

* Add value test

* Formatting

* Add more tests

* Add shape serialization

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* Add serializtion for literal and argument

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* Serialize empty types

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* Tidy fixes

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* Fix tidy issues

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* Reformat value type macro

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* Handle enum types

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* Add float_equal

* Fix tidy issue

* Use declval for better sfinae

* Formatting

* Fix maro name

* Add more test cases to improve coverage

* Formatting

* Add more tests

* Formatting

* Fix assertion

* Fix bug with keyless assignment

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

* Initial cpu conv-nd

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* Make index signed

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* Assert the indices are greater than 0

* Use equal instead of lexicographical_compare

* Formatting

* Fix tidy errors

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* Handle different types

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* Fix nested visits

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* Add 3d conv test

* Formatting

* revert unnecessary changes

* remove a print line

* Fix ICE

* Formatting

* Use absolute path
Co-authored-by: Shucai Xiao <shucai.xiao@amd.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* Add decompose pass

* Add decompose test

* Formatting

* Add remap

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* Add compute method for dot

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* Add finder for horizontal fusion

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* Formatting

* Reuse predicate

* Add gemm fusions

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* Add some fixes for convolution

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* Fix shape tests

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* Reuse axis equal

* Add initial split fusion

* Formatting

* Update offset

* Workaround outputs that cant accept nonstandard shapes

* Formatting

* Add check for split concat

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* Add missing headers

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* Add tests

* Formatting

* Add more testing

* Formatting

* Fix when there is duplicate splits in inputs

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* Fix mismatch iterators

* Add tests for dot fusions

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* Add test for convolution

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* Fix tidy issues

* Add more tests

* Formatting

* Ignore build directory for codecov

* Add test for groups

* Formatting

* Add more tests for groups

* Formatting

* Add test for missing end slice

* Add newline

* Remove unused function

* Add support for when beta is not 1

* Formatting

* Add test for scalar

* Add one more scalar test
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* Add experimental support for c++ output

* Format

* Fix syntax errors

* Add resnet50 model

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* Add inceptionv3 model

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* Add alexnet

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* Fix name of pooling mode

* Formatting

* Fix tidy issues

* Ignore driver directory

* Show accetable values