-A light-weight mechanism/framework to log input details and a
stringified version of the post-ops structure is added to LPGEMM.
Additionally the runtime of the API is also logged.
The logging framework logs to a file with filename following the format
aocl_gemm_log_<PID>_<TID>.txt.
-To enable this feature, the AOCL_LPGEMM_LOGGER_SUPPORT=1 macro needs to
be defined when compiling BLIS (with aocl_gemm addon enabled) by passing
CFLAGS="-DAOCL_LPGEMM_LOGGER_SUPPORT=1" to ./configure. Additionally
AOCL_ENABLE_LPGEMM_LOGGER=1 has to be exported in the environment during
LPGEMM runtime.
AMD-Internal: [SWLCSG-3280]
Change-Id: I30bfb35b2dc412df70044601b335938fc9f49cfb
- Revert of patch 1110983 - Duplicate check removal and early return for
s8s8s32/u8s8s32
- Add fix - Added check to see if post-ops is enabled with col-major
storage and return early in that case.
Change-Id: Id3b8c97b6d1425dfb06f3b196e5acd60caee8fca
- removed the duplicate check for col-major inputs in s8s8s32/u8s8s32
APIs
- Fixed the print in bench_lpgemm
Change-Id: If40837b89927dd82d8aa6f620d1a7f2c24aed53c
-Quantization of f32 to bf16 (bf16 = (f32 * scale_factor) + zero_point)
instead of just type conversion in aocl_gemm_bf16bf16f32obf16.
-Support for multiple scale/sum/matrix_add/bias post-ops in a single
LPGEMM api call.
-Post-ops mask related fixes in lpgemv kernels .
-Additional scale post-ops sanity checks.
AMD-Internal: [SWLCSG-2945]
Change-Id: I3b35cc413c176bb50bfdbd6acd4839a5ba7e94bb
Description:
--Added support for tranB in u8s8s32o<s32|s8> and
s8s8s32o<s32|s8> API's
--Updated the bench_lpgemm by adding options to
support transpose of B matrix
--Updated data_gen_script.py in lpgemm bench
according to latest input format.
AMD-Internal: [SWLCSG-2582]
Change-Id: I4a05cc390ae11440d6ff86da281dbafbeb907048
1. Added Trans A feature to handle column major inputs
for A matrix.
2. Trans A is enabled by on-the-go pack of A matrix.
3. The on-the-go pack of A converts a column storage
MCxKC block of A into row storage MCxKC block as
LPGEMM kernels are row major kernels.
4. New pack routines are added for conversion of A matrix
from column major storage to row major storage.
5. LPGEMM Cntx is updated with pack kernel function
pointers.
6. Packing of A matrix:
- Converts column major input A to row major
in blocks of MCxKC with newly added pack A
functions when cs_a > 1.
7. Pack routines are added for AVX512 and AVX2
INT8 LPGEMM APIs.
8. Trans A feature is now supported in:
1. u8s8s32os32/os8
2. u8s8s16os16/os8/ou8
3. s8s8s32os32/os8
4. s8s8s16os16/os8
AMD-Internal: SWLCSG-2582
Change-Id: I7ce331545525a9a09f3853280615b55fcf2edabf
Details:
- Modified bench to support testing for sizes where matrix
strides are larger than the corresponding dimensions.
- Modified early-return checks in all interface APIs to
check validity of strides in relation to the corresponding
dimension rather than checking if strides are equal to dimensions.
Change-Id: I382529b636a4acc75f6d93d997af22a168a7bfc4
Downscaling is used when GEMM output is accumulated at a higher
precision and needs to be converted to a lower precision afterwards.
Currently the u8s8s16 flavor of api only supports downscaling to s8
(int8_t) via aocl_gemm_u8s8s16os8 after results are accumulated at
int16_t.
LPGEMM is modified to support downscaling to different data types,
like u8, s16, apart from s8. The framework (5 loop) passes the
downscale data type to the micro-kernels. Within the micro-kernel,
based on the downscale type, appropriate beta scaling and output
buffer store logic is executed. This support is only enabled for
u8s8s16 flavor of api's.
The LPGEMM bench is also modified to support passing downscale data
type for performance and accuracy testing.
AMD-Internal: [SWLCSG-2313]
Change-Id: I723d0802baf8649e5e41236b239880a6043bfd30
* commit 'b683d01b':
Use extra #undef when including ba/ex API headers.
Minor preprocessor/header cleanup.
Fixed typo in cpp guard in bli_util_ft.h.
Defined eqsc, eqv, eqm to test object equality.
Defined setijv, getijv to set/get vector elements.
Minor API breakage in bli_pack API.
Add err_t* "return" parameter to malloc functions.
Always stay initialized after BLAS compat calls.
Renamed membrk files/vars/functions to pba.
Switch allocator mutexes to static initialization.
AMD-Internal: [CPUPL-2698]
Change-Id: Ied2ca8619f144d4b8a7123ac45a1be0dda3875df
-Certain sections of the f32 avx512 micro-kernel were observed to
slow down when more post-ops are added. Analysis of the binary
pointed to false dependencies in instructions being introduced in
the presence of the extra post-ops. Addition of vzeroupper at the
beginning of ir loop in f32 micro-kernel fixes this issue.
-F32 gemm (lpgemm) thread factorization tuning for zen4/zen3 added.
-Alpha scaling (multiply instruction) by default was resulting in
performance regression when k dimension is small and alpha=1 in s32
micro-kernels. Alpha scaling is now only done when alpha != 1.
-s16 micro-kernel performance was observed to be regressing when
compiled with gcc for zen3 and older architecture supporting avx2.
This issue is not observed when compiling using gcc with avx512
support enabled. The root cause was identified to be the -fgcse
optimization flag in O2 when applied with avx2 support. This flag is
now disabled for zen3 and older zen configs.
AMD-Internal: [CPUPL-3067]
Change-Id: I5aef9013432c037eb2edf28fdc89470a2eddad1c
-Currently lpgemm can only be built using either zen3 or zen4 config.
The lpgemm kernel code is re-structured to support amdzen, and thus
multi machine deployment.
-The micro-kernel calls (gemm and pack) are currently hardcoded in the
lpgemm framework. This is removed and a new lpgemm_cntx based dispatch
mechanism is designed to support runtime configurability for
micro-kernels.
AMD-Internal: [CPUPL-2965]
Change-Id: I4bbcb4e5db767def1663caf5481f0b4c988149ef
1. Correcting the type of alpha, and beta values from C_type
(output type) to accumulation type.
For the downscaled LPGEMM APIs, C_type will be the downscaled
type but the required type for alpha and beta values should
be the accumulation type.
2. BF16 bench integration with the LPGEMM bench for both the BF16
(bf16bf16f32of32 and bf16bf16f32obf16) APIs
AMD-Internal: [CPUPL-2561]
Change-Id: I3a99336c743f3880be1b96605ceeeae7c3bd4797
-The bf16 gemm framework is modified to swap input column major matrices
and compute gemm for the transposed matrices (now row major) using the
existing row-major kernels. The output is written to C matrix assuming
it is transposed.
-Framework changes to support leading dimensions that are greater than
matrix widths.
-Bench changes to test low precision gemm for column major inputs.
AMD-Internal: [CPUPL-2570]
Change-Id: I22c76f52619fd76d0c0e41531828b437a1935495
- Downscaling is used when GEMM output is accumulated at a higher
precision and needs to be converted to a lower precision afterwards.
This is required in AI workloads where quantization/dequantization
routines are used.
- New GEMM APIs are introduced specifically to support this use case.
Currently downscaling support is added for s32, s16 and bfloat16 GEMM.
AMD-Internal: [CPUPL-2475]
Change-Id: I81c3ee1ba5414f62427a7a0abb6ecef0c5ff71bf
-The micro-kernel function signatures follow a common pattern. These
functions can be represented as an instantiation of a MACRO as is done
in BLIS, and thus the number of micro-kernel header files can be brought
down. A new single header file containing all the MACRO definitions with
the instantiation is added, and the existing unnecessary header files
are removed.
-The bias addition in micro-kernel for n remaining < 16 reads the bias
array assuming it contains 16 elements. This can result in seg-faults,
since out of bound memory is accessed. It is fixed by copying required
elements to an intermediate buffer and using that buffer for loading.
-Input matrix storage type parameter is added to lpgemm APIs. It can be
either row or column major, denoted by r and c respectively. Currently
only row major input matrices are supported.
-Bug fix in s16 fringe micro-kernel to use correct offset while storing
output.
AMD-Internal: [CPUPL-2386]
Change-Id: Idfa23e69d54ad7e06a67b1e36a5b5558fbff03a3
- Low precision gemm is often used in ML/DNN workloads and is used
in conjunction with pre and post operations. Performing gemm and ops
together at the micro kernel level results in better overall performance
due to cache/register reuse of output matrix. The provision for defining
the post-operations and invoking the micro-kernel with it from the
framework is added as part of this change. This includes adding new data
structures/functions to define the post-ops to be applied and an
extensible template using which new post-ops can easily be integrated.
As for the post-operations, RELU and Bias Add for u8s8s32 is implemented
in this first cut.
- aocl_gemm bench modifications to test/benchmark RELU and Bias Add.
AMD-Internal: [CPUPL-2316]
Change-Id: Iad5fe9e54965bb52d5381ae459a69800946c7d18
- Low precision gemm sets thread meta data (lpgemm_thrinfo_t) to NULL
when compiled without open mp threading support. Subsequently the code
is executed as if it is single-threaded. However, when B matrix needs
to be packed, communicators are required (irrespective of single or
multi-threaded), and the code accesses lpgemm_thrinfo_t for the same
without NULL check. This results in seg fault.
For the fix, a non-open mp thread decorator layer is added, which
creates a placeholder lpgemm_thrinfo_t object with a communicator before
invoking the 5 loop algorithm. This object will be used for packing.
- Makefile for compilation of aocl_gemm bench.
AMD-Internal: [CPUPL-2304]
Change-Id: Id505235c8421792240b84f93942ca62dac78f3dc
- Multi-Threaded int8 GEMM (Input - uint8_t, int8_t, Output - int32_t).
AVX512_vnni based micro-kernel for int8 gemm. Paralellization supported
along m and n dimensions.
- Multi-Threaded B matrix reorder support for sgemm. Reordering B matrix
is packing entire B matrix upfront before sgemm. It allows sgemm to
take advantage of packed B matrix without incurring packing costs during
runtime.
- Makefile updates to addon make rules to compile avx512 code for
selected files in addon folder.
- CPU features query enhancements to check for AVX512_VNNI flag.
- Bench for int8 gemm and sgemm with B matrix reorder. Supports
performance mode for benchmarking and accuracy mode for testing code
correctness.
AMD-Internal: [CPUPL-2102]
Change-Id: I8fb25f5c2fbd97d756f95b623332cb29e3b8d182
