GitLab

* add conv oddC

* update example

* update example

* fix bug in example

* fix bug in group conv example

* Add int8 specialization for elementwise Add and Subtract.

* CGEMM examples bf16, fp32, int8

* Add convert reference output to CDataType.

* Skip BF16 data type during testing.

* Lower K value to get rid of accumulation error.

* Fix merge artifact.

* Fix changed function name: GetElementSpaceSize()

* Fix merge artifact.
Co-authored-by: Adam Osewski <aosewski@amd.com>

* turn on full qa only on gfx90a, use int initialization

* change script syntax

* update script parsing clinfo, throw exception if 0 devices

* fix syntax

* try using toBoolean for the QA conditions

* run regular CI on MI100 only, use MI200 only for daily QA

* evaluate when conditions before agent

* launch QA on develop branch and update profile_reduce script

* update test script

* update script

* remove false dependency from dockerfile

* try removing rbuild completely
Co-authored-by: Chao Liu <chao.liu2@amd.com>
Co-authored-by: Chao Liu <lc.roy86@gmail.com>

* convnd_fwd fp16 example

* update example

* update example

* update instance

* updating refernce conv

* update reference conv

* update conv fwd profiler

* update conv 1d and 3d instance

* update include path

* clean

* update profiler for conv bwd data and weight

* update conv bwd weight

* clean

* update conv example

* update profiler for conv bwd weight

* update ckprofiler for conv bwd data

* fix reference conv bwd data bug; update conv bwd data test

* update examples

* fix initialization issue

* update test for conv fwd

* clean

* clean

* remove test case too sensitive to error threshhold

* fix test

* clean

* fix build

* adding conv multiple d

* adding conv multiple D

* add matrix padder

* add gemm padding to convnd

* adding group conv

* update gemm multi-d

* refactor

* refactor

* refactor

* clean

* clean

* refactor

* refactor

* reorg

* add ds

* add bias

* clean

* add G

* adding group

* adding group

* adding group

* update Tensor

* clean

* update example

* update DeviceGemmMultipleD_Xdl_CShuffle

* update conv bwd-data and bwd-weight

* upate contraction example

* update gemm and batch gemm with e permute

* fix example build

* instance for grouped conv1d

* update example

* adding group conv instance

* update gemm bilinear instance

* update gemm+add+add+fastgelu instance

* update profiler

* update profiler

* update test

* update test and client example

* clean

* add grouped conv into profiler

* update profiler

* clean

* add test grouped conv, update all conv test to gtest

* update test

* add batched_gemm_multiD

* add ds

* rename file

* add batched_gemm_bias example

* add batch_strides into bmm_c_permute

* clean

* rename example_28 to example_29
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* add verify flag and update scripts

* replace old check_error function with the new check_err

* fix syntax

* remove blank spaces

* remove empty line

* add check_err for tensors

* fix syntax

* replace tensors with vectors in check_err calls

* fix syntax

* remove blank spaces

* fix syntax

* add new line at end of file

* disable conv2d_bwd_weight test, add gpu check

* set check_gpu using export

* check GPU using runShell

* add definition of runShell

* fix script syntax

* reduce the number of threads, add full qa option

* run processing scripts in bash

* fix the branch and host names in performance scripts, add chronos

* replace parameterizedCron with cron

* archive the perf log files

* try to fix git call

* pass branch and host names as arguments into scripts

* fix script arguments

* fix script arguments

* process results on master

* fix pipeline

* add definition of gpu_arch

* run processing scripts in docker

* fix the brackets

* add agent master for the processing stage

* get rid of show_node_info call on master

* try using mici label instead of master, disable MI100 tests for now

* fix syntax

* simplify container for results processing

* remove node(master) from the process_results stage

* put all stages in original order

* change the agent label from master to mici for gfx908

* replace gridwise_v2r3 with multiD

* adjust parameters

* add instances

* fixed test_grouped_gemm

* fix standalone softmax race condition around blockwise reduction

* fixed ci

* fixed comment: remove redundant workspace

* use instanceFactory

* add test layout

* add empty Ds

* add bias example

* use array

* sperate examples
Co-authored-by: Anthony Chang <ac.chang@outlook.com>

* Implement layernorm kernel and deviceOp

* verify gpu kernel with host code

* 1. Separate gamma aand beta from affine
2. Check if argument is valid

* clean

* Sync the naming

* Support sweep once mode if we can put k dimension data inside one block

* [What] Get length from upper length.
[Why] if we get length directly, we may get length after padding.

* We only use one block in K dimension.
Hence, we can simplify the indexing of global R/W.

* Use 1d descriptor for gamma and beta

* Add accElementwiseOp

* Extract layernorm host code

* Support different YVectorDim in GridwiseLayernorm

* Rename XSrcVectorDim to XYSrcVectorDim. Because we use same parameter in deviceOp

* Gamma and beta can share the VGPR.

* Add test for fp32 and fp16

* Fix bug of concurrency and add test case which may fail orignally

* Propagate NaN for layernorm
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* adding scripts for full perf test suite

* uncomment the sql queries

* fix typo and chmod a+x for scripts

* dos2unix for all new scripts

* disable verification in full performance test

* fix reduction scripts, add gfrouped_gemm hotfix

* fix the grouped_gemm hotfix and only run reduction for fp16

* change compiler flag syntax

* fix syntax

* add predefinition of dockerArgs

* avoid redefinitions of dockerArgs

* add blank space at the end of dockerArgs

* try to build with release compiler

* adding spaces inside if condition

* limit the number of threads for building 9110 compiler

* change the way HIP_CLANG_PATH is set

* remove the export command

* change the conditional ENV syntax

* set HIP_CLANG_PATH at docker run time

* update scripts for full qa

* enable the sql write query

* fix typo

* remove a comment from a script

* format

* improving pipeline

* fix typo

* format

* adding thread group

* adding thread group

* adding thread group

* adding gemm pipeline

* tweak

* refactor

* refactor

* add missing type convert

* refactor

* refactor

* refactor

* clean

* fix build

* refactor

* format

* clean up

* use remove_cvref_t

* clean

* use pipeline_v2 for gemm kernel

* Remove inconsistent indent

* Fix compilation errors due to incomplete merge process

* Add missing include directives

* Fix compilation errors in currently unused files

* Add license in newly added files

* Re-format touched files by clang-format-10

* Fix wrong template argument count of DeviceGemm<>

* Use language construct to choose between types

* Use language construct to choose GEMM example instance

* Fix compilation error due to interface change

* Re-use type alias to avoid duplication

* Unify type alias usage in source file

* Only use v2 pipeline in one gridwise GEMM type

* Remove no-longer used include directives

* Add static_assert() to check pipeline type requirements

* Revert "Add static_assert() to check pipeline type requirements"

This reverts commit f0985f0a132671a1caaea92810c9f30dcf062bde.

* clean

* clean

* clean

* clean
Co-authored-by: Chao Liu <chao.liu2@amd.com>
Co-authored-by: shaojiewang <wsjmessi@163.com>

* add conv1d/3d bwd weight instances

* add profiler code

* adding contraction

* add contraction example

* update examle

* update example

* format

* update readme

* clean header

* clean header

* contraction with multiple D

* rename

* fix naming issue; add instances for contraction+bilinear

* change assumed virtual layout of contraction; add client example

* update example

* update

* contraction+scale

* use type_convert

* rename

* init commit

* add c_permute

* add mnk padding

* fixed comments

* Fixed comments
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* refactor

* update example

* update example

* gemm bilinear

* clean

* update

* modified grouped gemm addressing method

* modified addressing method in device_grouped_gemm_xdl.hpp
Co-authored-by: root <root@dc-smc-13.amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* dump lds content in appropriate precision type

* add squared add reduction op; allows sq sum

* initial stub from regular gemm impl

* layernorm example code & host verification

* initial layernorm implementation

* tidy up

* make C0 precision type consistent with C

* clang-tidy and additional comments

* tighten up example code

* account for extra flops/bytes from normalization

* clang-format

* c0 bias/beta/gamma now have its own precision type

* AccElemOp for gemm outputs prior to feeding to layernorm

* update workgroup mapping

* rename kernel template param to reflect its dual use

* use LDS mem pool for reduction workspace

* change cshuffle precision type to f16; clean up

* clang-format

* correct naming

* explicit cast

* fully implemented gemm + bias + activation + add + norm

* activation in correct order

* reflect reduction API's recent change

* amend

* clean up; add comment

* keep up with recent changes in reduction API

* format

* resolve merge conflicts
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* add batch_stride

* fixed test
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* interface for GEMM and GEMM+add+add+fastgelu

* rename namespace

* instance factory

* fix build

* fix build; add GEMM client example

* clean

* init commit

* add desc

* finished c permute

* fixed vector lens

* add setWorkspace in profiler

* fix

* use 'sweep once' softmax kernel where applicable

* threadwise copy's dst buffer can specify invalid element value

* add int8 in/out float compute softmax support

give a bit of leeway for int absolute tolerance as there's a single data point of all test cases showing off-by-1 error

* format

* softmax inherits DeviceNormalization

* softmax profiler stub

* tighten up reference softmax interface

* example prints tensor dimension

* add fp32 to softmax profiler

* rename header

* hook with ckProfiler

* format

* resolve merge conflict

* resolve merge conflicts

* update normalization profiler help string

* resolve conflict

* typo

* remove residual

* softmax profiler: address feedback

* test for mixed precision input/output

* fully qualify ck::math::isnan

* add comment for device normalization interface

* revise wording

* constness for alpha/beta scaler pointer

* Extract base class for elementwise

* Refactor interface of DeviceGemmReduce. Do not use tuple in interface

* [What] Rename d into reduce in gemm + reduction related code
[Why] Prepare to add d term for add

* Unify base class of gemm + reduce and gemm + bias + add + reduce

* 1. Rename gemm_bias_add_reduce for external api
 2. Refine cmake

* Add normalize device operation

* [What] Reorder the argument
[Why] Because d0 is also the input of c.

* Add type string

* Add example of gemm_bias_add_layernorm  via external api

* Refactor example code

* clang-format

* Fix compile error

* clang-format

* Add external api for gemm_add_add_layernorm and normalize

* Add client example

* clang-format

* add client example

* clean

* clean

* reorg

* clean up profiler

* reorg

* clea

* fix profiler

* function for getinstances

* update client example

* update client example

* update client example

* update

* update example

* update Jenkins file

* update cmake

* update Jenkins

* Switch to standard ROCm packaging

* Revert .gitignore changes

* install new rocm-cmake version

* update readme
Co-authored-by: illsilin <Illia.Silin@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* ad gelu and fast_gelu

* added GeLU and fast GeLU

* clean up

* add gemm+fastgelu example

* add gemm+gelu instances

* update profiler

* clean up

* clean up

* adding gemm+bias+activation

* clean

* adding bias

* clean

* adding gemm multiple d

* debugging

* add gemm bias add fastgelu

* rename, clean

* refactoring; add readme

* refactor

* refactor

* refactor

* refactor

* refactor

* refactor

* fix

* fix

* update example

* update example

* rename

* update example

* add ckProfiler

* clean

* clean

* clean

* clean

* add client app example

* update readme

* delete obselete files

* remove old client app

* delete old file

* cleaning

* clean

* remove half

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path for all examples

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* fix header path

* revert client app example

* clean build

* fix build

* temporary disable client test on Jenkins

* clean

* clean

* clean

* update license

* update license

* update license

* update license

* UniforFill with integer values.

* Log tested instance type string.

* Add UT for all convolution specializations.

* debugging conv

* Fix dangling reference bug.

* Small refinements.

* Fix call to error checking function.

* Small refinements to tests.

* Configure error tolerance
* Change problem size.
* Remove OddC case from types that do not support it.

* Add helper traits for AccumulatorDataType.

* Print first 5 errs in check_err for integral types.

* Rename FillUniform to FillUniformDistribution

* Refactor

* Do not use typed tests.
* Instead use plain fixture class with templatized member functions.
* Initialize tensors with integer values.

* Refine test instances.

* Properly set accumulator data type.
* Add another "big" instance.

* Refactor convolution tests.

* Revert "debugging conv"

This reverts commit b109516455631ff8fd6dce99cf7c14bf8e323ebb.

* Add pragma once + format + small refinement.

* Fix some unwanted changes.

* Clang-format

* Fix profile_convnd to use renamed tensor initializer.

* Add instances for ConvFWDND kernel case 2D

* Helpers to get ConvNDFwd 2D instances.

* Refactoring.

* Remove "small block" instance as it was generating compiler errors.
* Remove default template parameters values.

* Refine and fix test.

* Fix problem with default template parameter types.
* Adjust error thresholds for floating point values test.
* Use integer values initialization for instances test.
* Add tests for ConvNDFwd 2D case.

* Remove AccumulatorDataType type trait.

* Update unit-tests.

* Remove operator<< overload.

* Unlock conv1d/3d nd fwd instances.

* Enable skipping calculating reference using flag.

* Fix number of channels for first ResNet50 layer.

* Clang-format.
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* rename for typeconvert functor

* refine code

* initial stub for standalone softmax

* start device_softmax_mk_to_mk as a wrapper to device_reduce_mk_to_m

* host softmax validates

* compiles; to implement beta scaling

* use NaN trick to efficiently ignore OOB values during sum of exponentials

* freeload device_reduce's utility functions

* clean up interface

* adding prior value (beta scaling)

* remove restriction related to perf considerations

* apply clang-format

* clean; disable diagnostics

* resolve conflicts

* add exp wrapper

* honor HostTensorDesc interface; allow implicit cast from different vector<T> type

* test softmax for fp16/fp32

* update readme

* amend commit NaN trick

* remove redundant param added during development

* format

* replace ScalarDataType with AccDataType

* separate out test programs by precision type

* move softmax sample code to its own folder

* format

* keep up with recent changes in reduction API

* remove extra header

* Create LICENSE

* add contributors, add license into config.hpp

* update

* ad gelu and fast_gelu

* added GeLU and fast GeLU

* clean up

* add gemm+fastgelu example

* add gemm+gelu instances

* update profiler

* clean up

* clean up

* adding gemm+bias+activation

* clean

* adding bias

* clean

* adding gemm multiple d

* debugging

* add gemm bias add fastgelu

* rename, clean

* refactoring; add readme

* refactor

* refactor

* refactor

* refactor

* refactor

* refactor

* fix

* fix

* update example

* update example

* rename

* update example

* add ckProfiler

* clean

* clean

* clean

* clean

* add comment

* use type_convert

* clean

* clean element wise op

* use pre-built docker instead of building a new one

* try docker.image.pull

* change syntax in docker.image()

* add 30 min timeout

* increase timeout to 3 hours

* move performance tests to first stage for testing

* set image variable to the new container name

* update image name

* check available images

* check available images in both places

* try different image name

* use image ID to refer to image

* run performance on gfx90a

* fix the gpu_arch labeling, add parameter

* move env vars out of stages

* add stand-alone performance script, MI200 tests, CU numbers

* dos2unix for run_perf_tests.sh

* try the new git credentials

* use env var for git credentials

* don't look up /sys/module/amdgpu/version
Co-authored-by: Chao Liu <chao.liu2@amd.com>

* Remove template from Reducton operation classes and add template to their operator() and GetIdentityValue() interfaces

* Change to unary elementwise operators and the reduce_unary_operator (class for mapping) and dependent variations in all host layers

* Remove the data type template parameter from reduce_binary_operator (class for mapping) and dependent variations in host layers

* Add InMemoryDataOperatonSupportedOnDataType to check the matching between data type and InMemoryDataOperation

* Use struct-scope operator template instantiation for binary and unary element-wise operations

* Change a few more elementwise operations to use template for operator()

* Tiny correction in Normalize operator

* Add static_assert to check the data type appliability for some reduction accumulator and element-wise operatons

* Correction in some examples with regard to using ReduceAccDataType

* Use static_assert for UnaryDivide

* Update to merged codes to use Element-wise operations and Reduction Accumulator operations correctly

* Tiny fix with regard to SetWorkSpacePointer()