ROCm 6.3.0 release notes#
2024-12-03
64 min read time
The release notes provide a summary of notable changes since the previous ROCm release.
Note
If you’re using Radeon™ PRO or Radeon GPUs in a workstation setting with a display connected, continue to use ROCm 6.2.3. See the Use ROCm on Radeon GPUs documentation to verify compatibility and system requirements.
Release highlights#
The following are notable new features and improvements in ROCm 6.3.0. For changes to individual components, see Detailed component changes.
rocJPEG added#
ROCm 6.3.0 introduces the rocJPEG library to the ROCm software stack. rocJPEG is a high performance JPEG decode SDK for AMD GPUs. For more information, see the rocJPEG documentation.
ROCm Compute Profiler and ROCm Systems Profiler#
These ROCm components have been renamed to reflect their new direction as part of the ROCm software stack.
ROCm Compute Profiler, formerly Omniperf. For more information, see the ROCm Compute Profiler documentation and ROCm/rocprofiler-compute on GitHub.
ROCm Systems Profiler, formerly Omnitrace. For more information, see the ROCm Systems Profiler documentation and ROCm/rocprofiler-systems on GitHub. For future compatibility, the Omnitrace project is available at ROCm/omnitrace. See the Omnitrace documentation.
Note
Update any references to the old binary names
omniperf
andomnitrace
to ensure compatibility with the newrocprof-compute
androcprof-sys-*
binaries. This might include updating environment variables, commands, and paths as needed to avoid disruptions to your profiling or tracing workflows.See ROCm Compute Profiler 3.0.0 and ROCm Systems Profiler 0.1.0.
PyTorch 2.4 support added#
ROCm 6.3.0 adds support for PyTorch 2.4. See the Compatibility matrix for the complete list of PyTorch versions tested for compatibility with ROCm.
Flash Attention kernels in Triton and Composable Kernel (CK) added to Transformer Engine#
Composable Kernel-based and Triton-based Flash Attention kernels have been integrated into Transformer Engine via the ROCm Composable Kernel and AOTriton libraries. The Transformer Engine can now optionally select a flexible and optimized Attention solution for AMD GPUs. For more information, see Fused Attention Backends on ROCm on GitHub.
HIP compatibility#
HIP now includes the hipStreamLegacy
API. It’s equivalent to NVIDIA cudaStreamLegacy
. For more
information, see Global enum and
defines
in the HIP runtime API documentation.
Unload active amdgpu-dkms module without a system reboot#
On Instinct MI200 and MI300 systems, you can now unload the active amdgpu-dkms
modules, and reinstall
and reload newer modules without a system reboot. If the new dkms
package includes newer firmware
components, the driver will first reset the device and then load newer firmware components.
ROCm Offline Installer Creator updates#
The ROCm Offline Installer Creator 6.3 introduces a new feature to uninstall the previous version of ROCm on the non-connected target system before installing a new version. This feature is only supported on the Ubuntu distribution. See the ROCm Offline Installer Creator documentation for more information.
OpenCL ICD loader separated from ROCm#
The OpenCL ICD loader is no longer delivered as part of ROCm, and must be installed separately as part of the ROCm installation process. For Ubuntu and RHEL installations, the required package is installed as part of the setup described in Prerequisites. In other supported Linux distributions like SUSE, the required package must be installed in separate steps, which are included in the installation instructions.
Because the OpenCL path is now separate from the ROCm installation for versioned and multi-version
installations, you must manually define the LD_LIBRARY_PATH
to point to the ROCm
installation library as described in the Post-installation
instructions.
If the LD_LIBRARY_PATH
is not set as needed for versioned or multi-version installations, OpenCL
applications like clinfo
will fail to run and return an error.
ROCT Thunk Interface integrated into ROCr runtime#
The ROCT Thunk Interface package is now integrated into the ROCr runtime. As a result, the ROCT package is no longer included as a separate package in the ROCm software stack.
ROCm documentation updates#
ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for a wider variety of user needs and use cases.
Documentation for Tensile is now available. Tensile is a library that creates benchmark-driven backend implementations for GEMMs, serving primarily as a backend component of rocBLAS. See the Tensile documentation.
New documentation has been added to explain the advantages of enabling the IOMMU in passthrough mode for Instinct accelerators and Radeon GPUs. See Input-Output Memory Management Unit.
The HIP documentation has been updated and includes the following new topics:
The following HIP documentation topics have been updated:
The following HIP documentation topics have been reorganized to improve usability:
Operating system and hardware support changes#
ROCm 6.3.0 adds support for the following operating system and kernel versions:
Ubuntu 24.04.2 (kernel: 6.8 [GA], 6.11 [HWE])
Ubuntu 22.04.5 (kernel: 5.15 [GA], 6.8 [HWE])
RHEL 9.5 (kernel: 5.14.0)
Oracle Linux 8.10 (kernel: 5.15.0)
See installation instructions at ROCm installation for Linux.
ROCm 6.3.0 marks the end of support (EoS) for:
Ubuntu 24.04.1
Ubuntu 22.04.4
RHEL 9.3
RHEL 8.9
Oracle Linux 8.9
Hardware support remains unchanged in this release.
See the Compatibility matrix for more information about operating system and hardware compatibility.
ROCm components#
The following table lists the versions of ROCm components for ROCm 6.3.0, including any version changes from 6.2.4 to 6.3.0. Click the component’s updated version to go to a list of its changes. Click to go to the component’s source code on GitHub.
Detailed component changes#
The following sections describe key changes to ROCm components.
AMD SMI (24.7.1)#
Added#
Support for
amd-smi metric --ecc
&amd-smi metric --ecc-blocks
on Guest VMs.Support for GPU metrics 1.6 to
amdsmi_get_gpu_metrics_info()
New violation status outputs and APIs:
amdsmi_status_t amdsmi_get_violation_status()
,amd-smi metric --throttle
, andamd-smi monitor --violation
. This feature is only available on MI300+ ASICsAbility to view XCP (Graphics Compute Partition) activity within
amd-smi metric --usage
. Partition-specific features are only available on MI300+ ASICsAdded
LC_PERF_OTHER_END_RECOVERY
CLI output toamd-smi metric --pcie
and updatedamdsmi_get_pcie_info()
to include this value. This feature is only available on MI300+ ASICsAbility to retrieve a set of GPUs that are nearest to a given device at a specific link type level
Added
amdsmi_get_link_topology_nearest()
function to amd-smi C and Python Libraries.
More supported utilization count types to
amdsmi_get_utilization_count()
amd-smi set -L/--clk-limit ...
command. This is equivalent to rocm-smi’s--extremum
command which sets sclk’s or mclk’s soft minimum or soft maximum clock frequency.Unittest functionality to test
amdsmi
API calls in PythonGPU memory overdrive percentage to
amd-smi metric -o
Added
amdsmi_get_gpu_mem_overdrive_level()
function to AMD SMI C and Python Libraries.
Ability to retrieve connection type and P2P capabilities between two GPUs
Added
amdsmi_topo_get_p2p_status()
function to amd-smi C and Python Libraries.Added retrieving P2P link capabilities to CLI
amd-smi topology
.
New
amdsmi_kfd_info_t
type and added information underamd-smi list
Subsystem device ID to
amd-smi static --asic
. There are no underlying changes toamdsmi_get_gpu_asic_info
.Target_Graphics_Version
toamd-smi static --asic
andamdsmi_get_gpu_asic_info()
.
Changed#
Updated BDF commands to use KFD SYSFS for BDF:
amdsmi_get_gpu_device_bdf()
. This change aligns BDF output with ROCm SMI.Moved Python tests directory path install location.
/opt/<rocm-path>/share/amd_smi/pytest/..
to/opt/<rocm-path>/share/amd_smi/tests/python_unittest/..
Removed PyTest dependency. Python testing now depends on the unittest framework only.
Changed the
power
parameter inamdsmi_get_energy_count()
toenergy_accumulator
.Changes propagate forwards into the Python interface as well. Backwards compatibility is maintained.
Updated Partition APIs and struct information and added
partition_id
toamd-smi static --partition
.As part of an overhaul to partition information, some partition information will be made available in the
amdsmi_accelerator_partition_profile_t
.This struct will be filled out by a new API,
amdsmi_get_gpu_accelerator_partition_profile()
.Future data from these APIs will eventually be added to
amd-smi partition
.
Removed#
amd-smi reset --compute-partition
and... --memory-partition
and associated APIsThis change is part of the partition redesign. Reset functionality will be reintroduced in a later update.
Associated APIs include
amdsmi_reset_gpu_compute_partition()
andamdsmi_reset_gpu_memory_partition()
Usage of
_validate_positive
is removed in parser and replaced with_positive_int
and_not_negative_int
as appropriate.This will allow
0
to be a valid input for several options in setting CPUs where appropriate (for example, as a mode or NBIOID).
Optimized#
Adjusted ordering of
gpu_metrics
calls to ensure thatpcie_bw
values remain stable inamd-smi metric
&amd-smi monitor
.With this change additional padding was added to
PCIE_BW
amd-smi monitor --pcie
Known issues#
Resolved issues#
Improved Offline install process and lowered dependency for PyYAML.
Fixed CPX not showing total number of logical GPUs.
Fixed incorrect implementation of the Python API
amdsmi_get_gpu_metrics_header_info()
.amdsmitst
TestGpuMetricsRead
now prints metric in correct units.
Upcoming changes#
Python API for
amdsmi_get_energy_count()
will deprecate thepower
field in a future ROCm release and useenergy_accumulator
field instead.New memory and compute partition APIs will be added in a future ROCm release.
These APIs will be updated to fully populate the CLI and allowing compute (accelerator) partitions to be set by profile ID.
One API will be provided, to reset both memory and compute (accelerator).
The following APIs will remain:
amdsmi_status_t amdsmi_set_gpu_compute_partition(amdsmi_processor_handle processor_handle, amdsmi_compute_partition_type_t compute_partition); amdsmi_status_t amdsmi_get_gpu_compute_partition(amdsmi_processor_handle processor_handle, char *compute_partition, uint32_t len); amdsmi_status_t amdsmi_get_gpu_memory_partition(amdsmi_processor_handle processor_handle, char *memory_partition, uint32_t len); amdsmi_status_t amdsmi_set_gpu_memory_partition(amdsmi_processor_handle processor_handle, amdsmi_memory_partition_type_t memory_partition);
amd-smi set --compute-partition "SPX/DPX/CPX..."
will no longer be supported in a future ROCm release.This is due to aligning with Host setups and providing more robust partition information through the APIs outlined above. Furthermore, new APIs which will be available on both BM/Host can set by profile ID.
Added a preliminary
amd-smi partition
command.The new partition command can display GPU information, including memory and accelerator partition information.
The command will be at full functionality once additional partition information from
amdsmi_get_gpu_accelerator_partition_profile()
has been implemented.
Note
See the full AMD SMI changelog for more details and examples.
HIP (6.3.0)#
Added#
New HIP APIs:
hipGraphExecGetFlags
returns the flags on executable graph.hipGraphNodeSetParams
updates the parameters of a created node.hipGraphExecNodeSetParams
updates the parameters of a created node on an executable graph.hipDrvGraphMemcpyNodeGetParams
gets a memcpy node’s parameters.hipDrvGraphMemcpyNodeSetParams
sets a memcpy node’s parameters.hipDrvGraphAddMemFreeNode
creates a memory free node and adds it to a graph.hipDrvGraphExecMemcpyNodeSetParams
sets the parameters for a memcpy node in the given graphExec.hipDrvGraphExecMemsetNodeSetParams
sets the parameters for a memset node in the given graphExec.hipExtHostAlloc
preserves the functionality ofhipHostMalloc
.
Changed#
Un-deprecated HIP APIs:
hipHostAlloc
hipFreeHost
Optimized#
Disabled CPU wait in device synchronize to avoid idle time in applications such as Hugging Face models and PyTorch.
Optimized multi-threaded dispatches to improve performance.
Limited the software batch size to control the number of command submissions for runtime to handle efficiently.
Optimizes HSA callback performance when a large number of events are recorded by multiple threads and submitted to multiple GPUs.
Resolved issues#
Soft hang in runtime wait event when run TensorFlow.
Memory leak in the API
hipGraphInstantiate
when kernel is launched usinghipExtLaunchKernelGGL
with event.Memory leak when the API
hipGraphAddMemAllocNode
is called.The
_sync()
version of crosslane builtins such asshfl_sync()
,__all_sync()
and__any_sync()
, continue to be hidden behind the preprocessor macroHIP_ENABLE_WARP_SYNC_BUILTINS
, and will be enabled unconditionally in the next ROCm release.
Upcoming changes#
Deprecated HIP APIs:
hipHostMalloc
to be replaced byhipExtHostAlloc
.hipHostFree
to be replaced byhipFreeHost
.
hipBLAS (2.3.0)#
Added#
Level 3 functions have an additional
ILP64
API for both C and Fortran (_64
name suffix) withint64_t
function arguments
Changed#
amdclang
is used as the default compiler instead ofg++
.Added a dependency on the
hipblas-common
package.
hipBLASLt (0.10.0)#
Added#
Support for the V2 CPP extension API for backward compatibility
Support for data type
INT8
in withINT8
outSupport for data type
FP32
/FP64
for gfx110xExtension API
hipblaslt_ext::matmulIsTuned
Output
atol
andrtol
forhipblaslt-bench
validationOutput the bench command for the hipblaslt CPP ext API path if
HIPBLASLT_LOG_MASK=32
is setSupport odd sizes for
FP8
/BF8
GEMM
Changed#
Reorganized and added more sample code.
Added a dependency with the
hipblas-common
package and removed the dependency with thehipblas
package.
Optimized#
Support fused kernel for
HIPBLASLT_MATMUL_DESC_AMAX_D_POINTER
for theFP8
/BF8
data typeImproved the library loading time.
Improved the overall performance of the first returned solution.
Upcoming changes#
The V1 CPP extension API will be deprecated in a future release of hipBLASLt.
hipCUB (3.3.0)#
Added#
Support for large indices in
hipcub::DeviceSegmentedReduce::*
has been added, with the exception ofDeviceSegmentedReduce::Arg*
. Although rocPRIM’s backend provides support for all reduce variants, CUB does not support large indices inDeviceSegmentedReduce::Arg*
. For this reason, large index support is not available forhipcub::DeviceSegmentedReduce::Arg*
.
Changed#
Changed the default value of
rmake.py -a
todefault_gpus
. This is equivalent togfx906:xnack-,gfx1030,gfx1100,gfx1101,gfx1102
.The NVIDIA backend now requires CUB, Thrust, and libcu++ 2.3.2.
Resolved issues#
Fixed an issue in
rmake.py
where the list storing cmake options would contain individual characters instead of a full string of options.Fixed an issue where
config.hpp
was not included in all hipCUB headers, resulting in build errors.
hipFFT (1.0.17)#
Changed#
The AMD backend is now compiled using amdclang++ instead of hipcc. The NVIDIA CUDA backend still uses hipcc-nvcc.
CLI11 replaces Boost Program Options as the command line parser for clients.
Building with the address sanitizer option sets xnack+ for the relevant GPU architectures.
hipfort (0.5.0)#
Added#
Added ROC-TX to the hipfort interfaces.
Changed#
Updated the hipSOLVER bindings.
HIPIFY (18.0.0)#
Added#
CUDA 12.6.1 support
cuDNN 9.5.0 support
LLVM 19.1.1 support
rocBLAS 64-bit APIs support
Initial support for direct hipification of cuDNN into MIOpen under the
--roc
optionInitial support for direct hipification of cuRAND into rocRAND under the
--roc
optionAdded a filtering ability for the supplementary hipification scripts
Resolved issues#
Correct
roc
header files support
Known issues#
Support for
fp8
data types
hipRAND (2.11.0*)#
Changed#
Updated the default value for the
-a
argument fromrmake.py
togfx906:xnack-,gfx1030,gfx1100,gfx1101,gfx1102
.
Known issues#
In ROCm 6.3.0, the hipRAND package version is incorrectly set to
2.11.0
. In ROCm 6.2.4, the hipRAND package version was2.11.1
. The hipRAND version number will be corrected in a future ROCm release.
Resolved issues#
Fixed an issue in
rmake.py
where the list storing the CMake options would contain individual characters instead of a full string of options.
hipSOLVER (2.3.0)#
Added#
Auxiliary functions:
hipsolverSetDeterministicMode
,hipsolverGetDeterministicMode
Compatibility-only functions:
potrf
hipsolverDnXpotrf_bufferSize
hipsolverDnXpotrf
potrs
hipsolverDnXpotrs
geqrf
hipsolverDnXgeqrf_bufferSize
hipsolverDnXgeqrf
Changed#
Binaries in debug builds no longer have a
-d
suffix.Changed rocSPARSE and SuiteSparse to be runtime dependencies by default. The
BUILD_WITH_SPARSE
CMake option can still be used to convert them into build-time dependencies (now off by default).The
--no-sparse
option for the install script now only affects the hipSOLVER clients and their dependency on hipSPARSE. Use theBUILD_HIPSPARSE_TESTS
CMake option to enable tests for thehipsolverSp
API (on by default).
Upcoming changes#
The Fortran bindings provided in
hipsolver_module.f90
have been deprecated. The Fortran bindings provided by the hipfort project are recommended instead.
hipSPARSE (3.1.2)#
Added#
Added an alpha version of the
hipsparse-bench
executable to facilitate comparing NVIDIA CUDA cuSPARSE and rocSPARSE backends.
Changed#
Changed the default compiler from hipcc to amdclang in the install script and CMake files.
Improved the user documentation.
Resolved issues#
Fixed the gfortran dependency for the Azure Linux operating system.
Known issues#
In
hipsparseSpSM_solve()
, the external buffer is passed as a parameter. This does not match the NVIDIA CUDA cuSPARSE API. This extra external buffer parameter will be removed in a future release. For now, this extra parameter can be ignored andnullptr
passed as it is unused internally byhipsparseSpSM_solve()
.
hipSPARSELt (0.2.2)#
Added#
Support for a new data type combination:
INT8
inputs,BF16
output, andINT32
Matrix Core accumulationSupport for row-major memory order (
HIPSPARSE_ORDER_ROW
)
Changed#
Changed the default compiler to amdclang++.
Upcoming changes#
hipsparseLtDatatype_t
is deprecated and will be removed in the next major release of ROCm.hipDataType
should be used instead.
hipTensor (1.4.0)#
Added#
Added support for tensor reduction, including APIs, CPU reference, unit tests, and documentation
Changed#
ASAN builds only support xnack+ targets.
ASAN builds use
-mcmodel=large
to accommodate library sizes greater than 2GB.Updated the permute backend to accommodate changes to element-wise operations.
Updated the actor-critic implementation.
Various documentation formatting updates.
Optimized#
Split kernel instances to improve build times.
Resolved issues#
Fixed a bug in randomized tensor input data generation.
Fixed the default strides calculation to be in column-major order.
Fixed a small memory leak by properly destroying HIP event objects in tests.
Default strides calculations now follow column-major convention.
llvm-project (18.0.0)#
Resolved issues#
Fixed an issue where the compiler would incorrectly compile a program that used the
__shfl(var, srcLane, width)
function when one of the parameters to the function is undefined along some path to the function. See issue #3499 on GitHub.
MIOpen (3.3.0)#
Added#
[RNN] LSTM forward pass
[Mha] Mask is added for forward pass
[GLU] Gated Linear Unit (this is an experimental feature)
[PReLU] Implemented PReLU backward pass (this is an experimental feature)
Optimized#
MI300 TunaNet Update: CK forward pass and WRW Solvers updated
Resolved issues#
Fixed unset stream when calling
hipMemsetAsync
.Fixed a memory leak issue caused by an incorrect transpose in find 2.0. See PR #3285 on GitHub.
Fixed a
memcopy
data race by replacinghipMemcpy
withhipMemcpyWithStream
.
MIVisionX (3.1.0)#
Changed#
rocDecode is no longer installed by the setup script.
The rocDecode dependency has been removed from the package installation.
Known issues#
Package installation requires the manual installation of OpenCV.
Installation on CentOS/RedHat/SLES requires the manual installation of the
FFMPEG Dev
package.Hardware decode requires installation with
--usecase=graphics
in addition to--usecase=rocm
.
Upcoming changes#
Optimized audio augmentations support for VX_RPP
RCCL (2.21.5)#
Added#
MSCCL++ integration for specific contexts
Performance collection to
rccl_replayer
Tuner Plugin example for Instinct MI300
Tuning table for a large number of nodes
Support for amdclang++
New Rome model
Changed#
Compatibility with NCCL 2.21.5
Increased channel count for MI300X multi-node
Enabled MSCCL for single-process multi-threaded contexts
Enabled CPX mode for MI300X
Enabled tracing with
rocprof
Improved version reporting
Enabled GDRDMA for Linux kernel 6.4.0+
Resolved issues#
Fixed an issue where, on systems running Linux kernel 6.8.0 such as Ubuntu 24.04, Direct Memory Access (DMA) transfers between the GPU and NIC were disabled, impacting multi-node RCCL performance. See issue #3772 on GitHub.
Fixed model matching with PXN enable
Known issues#
MSCCL is temporarily disabled for AllGather collectives.
This can impact in-place messages (< 2 MB) with ~2x latency.
Older RCCL versions are not impacted.
This issue will be addressed in a future ROCm release.
Unit tests do not exit gracefully when running on a single GPU.
This issue will be addressed in a future ROCm release.
rocAL (2.1.0)#
Added#
rocAL Pybind support for package installation has been added. To use the rocAL python module, set the
PYTHONPATH
:export PYTHONPATH=/opt/rocm/lib:$PYTHONPATH
Last batch policy, pad last batch, stick to shard, and shard size support have been added for the coco, caffe, caffe2, mxnet, tf, and cifar10 image readers.
Changed#
rocDecode is no longer installed by the setup script.
The rocDecode dependency has been removed from the package installation.
Optimized#
CTest has been updated.
Resolved issues#
Test failures have been fixed.
Known issues#
The package installation requires the manual installation of
TurboJPEG
andRapidJSON
.CentOS/RedHat/SLES requires the manual installation of the
FFMPEG Dev
package.Hardware decode requires installation with
--usecase=graphics
in addition to--usecase=rocm
.
Upcoming changes#
Optimized audio augmentations support.
rocALUTION (3.2.1)#
Changed#
The default compiler has been changed from
hipcc
toamdclang
in the installation script and cmake files.Changed the address sanitizer build targets. Now only
gfx908:xnack+
,gfx90a:xnack+
,gfx940:xnack+
,gfx941:xnack+
, andgfx942:xnack+
are built withBUILD_ADDRESS_SANITIZER=ON
.
Resolved issues#
Fixed hang in
RS-AMG
for Navi on some specific matrix sparsity patterns.Fixed wrong results in
Apply
on multi-GPU setups.
rocBLAS (4.3.0)#
Added#
Level 3 and EX functions have an additional
ILP64
API for both C and Fortran (_64
name suffix) withint64_t
function arguments
Changed#
amdclang is used as the default compiler instead of hipcc
Internal performance scripts use AMD SMI instead of the deprecated ROCm SMI
Optimized#
Improved performance of Level 2 gbmv
Improved performance of Level 2 gemv for float and double precisions for problem sizes (
TransA == N && m==n && m % 128 == 0
) measured on a gfx942 GPU
Resolved issues#
Fixed the
stbsv_strided_batched_64
Fortran binding
Upcoming changes#
rocblas_Xgemm_kernel_name
APIs are deprecated
ROCdbgapi (0.77.0)#
Added#
Support for setting precise ALU exception reporting
rocDecode (0.8.0)#
Changed#
Clang is now the default CXX compiler.
The new minimum supported version of
va-api
is 1.16.New build and runtime options have been added to the
rocDecode-setup.py
setup script.
Removed#
Make tests have been removed. CTEST is now used for both Make tests and package tests.
mesa-amdgpu-dri-drivers
has been removed as a dependency on RHEL and SLES.
Resolved issues#
Fixed a bug in the size of output streams in the
videoDecodeBatch
sample.
rocFFT (1.0.31)#
Added#
rocfft-test now includes a
--smoketest
option.Implemented experimental APIs to allow computing FFTs on data distributed across multiple MPI ranks. These APIs can be enabled with the
ROCFFT_MPI_ENABLE
CMake option. This option defaults toOFF
.When
ROCFFT_MPI_ENABLE
isON
:rocfft_plan_description_set_comm
can be called to provide an MPI communicator to a plan description, which can then be passed torocfft_plan_create
. Each rank callsrocfft_field_add_brick
to specify the layout of data bricks on that rank.An MPI library with ROCm acceleration enabled is required at build time and at runtime.
Changed#
Compilation uses amdclang++ instead of hipcc.
CLI11 replaces Boost Program Options as the command line parser for clients and samples.
Building with the address sanitizer option sets xnack+ on relevant GPU architectures and address-sanitizer support is added to runtime-compiled kernels.
ROCgdb (15.2)#
Added#
Support for precise ALU exception reporting for supported architectures. Precise ALU exceptions reporting is controlled with the following commands:
set amdgpu precise-alu-exceptions
show amdgpu precise-alu-exceptions
Changed#
The
sysroot
orsolib-search-path
settings can now be used to locate files containing GPU code objects when opening a core dump. This allows opening GPU code objects on systems different from the one where the core dump was generated.
Resolved issues#
Fixed possible hangs when opening some AMDGPU core dumps in ROCgdb.
Addressed cases where the
roccoremerge
utility improperly handled LOAD segment copy from the host core dump to the combined core dump.
ROCm Compute Profiler (3.0.0)#
Changed#
Renamed to ROCm Compute Profiler from Omniperf.
New package name:
rocprofiler-compute
New repository: ROCm/rocprofiler-compute
New binary name:
rocprof-compute
Known issues#
ROCm Data Center Tool (0.3.0)#
Added#
RVS integration
Real time logging for diagnostic command
--version
commandXGMI_TOTAL_READ_KB
andXGMI_TOTAL_WRITE_KB
monitoring metrics
Known issues#
ROCm SMI (7.4.0)#
Added#
Added
rsmi_dev_memory_partition_capabilities_get
which returns driver memory partition capablities.
Driver now has the ability to report what the user can set memory partition modes to. User can now see available memory partition modes upon an invalid argument return from memory partition mode set (rsmi_dev_memory_partition_set
).Support for GPU metrics 1.6 to
rsmi_dev_gpu_metrics_info_get()
. Updatedrsmi_dev_gpu_metrics_info_get()
and structurersmi_gpu_metrics_t
to include new fields for PVIOL / TVIOL, XCP (Graphics Compute Partitions) stats, andpcie_lc_perf_other_end_recovery
.Ability to view raw GPU metrics using
rocm-smi --showmetrics
.
Changed#
Added back in C++ tests for
memorypartition_read_write
Updated
rsmi_dev_memory_partition_set
to not return until a successful restart of AMD GPU Driver.All APIs now have the ability to catch driver reporting invalid arguments.
Removals#
Removed
--resetcomputepartition
, and--resetmemorypartition
options and associated APIs.This change is part of the partition feature redesign.
The related APIs
rsmi_dev_compute_partition_reset()
andrsmi_dev_memory_partition_reset()
.
Resolved issues#
Fixed
rsmi_dev_target_graphics_version_get
,rocm-smi --showhw
, androcm-smi --showprod
not displaying properly for MI2x or Navi 3x ASICs.
Upcoming changes#
C++ tests for
memorypartition_read_write
are to be re-enabled in a future ROCm release.
Note
See the full ROCm SMI changelog for more details and examples.
ROCm Systems Profiler (0.1.0)#
Changed#
Renamed to ROCm Systems Profiler from Omnitrace.
New package name:
rocprofiler-systems
New repository: ROCm/rocprofiler-systems
Reset the version to
0.1.0
New binary prefix:
rocprof-sys-*
Known issues#
ROCm Validation Suite (1.1.0)#
Added#
Support for hipBLASLT blas library and option to select blas library in
conf
file.
Changed#
Babel parameters made runtime configurable.
Known issues#
rocPRIM (3.3.0)#
Added#
The
--test smoke
option has been added tortest.py
. Whenrtest.py
is called with this option it runs a subset of tests such that the total test time is 5 minutes. Usepython3 ./rtest.py --test smoke
orpython3 ./rtest.py -t smoke
to run the smoke test.The
--seed
option has been added torun_benchmarks.py
. The--seed
option specifies a seed for the generation of random inputs. When the option is omitted, the default behavior is to use a random seed for each benchmark measurement.Added configuration autotuning to device partition (
rocprim::partition
,rocprim::partition_two_way
, androcprim::partition_three_way
), to device select (rocprim::select
,rocprim::unique
, androcprim::unique_by_key
), and to device reduce by key (rocprim::reduce_by_key
) to improve performance on selected architectures.Added
rocprim::uninitialized_array
to provide uninitialized storage in local memory for user-defined types.Added large segment support for
rocprim:segmented_reduce
.Added a parallel
nth_element
device function similar tostd::nth_element
.nth_element
places elements that are smaller than the nth element before the nth element, and elements that are bigger than the nth element after the nth element.Added deterministic (bitwise reproducible) algorithm variants
rocprim::deterministic_inclusive_scan
,rocprim::deterministic_exclusive_scan
,rocprim::deterministic_inclusive_scan_by_key
,rocprim::deterministic_exclusive_scan_by_key
, androcprim::deterministic_reduce_by_key
. These provide run-to-run stable results with non-associative operators such as float operations, at the cost of reduced performance.Added a parallel
partial_sort
andpartial_sort_copy
device functions similar tostd::partial_sort
andstd::partial_sort_copy
.partial_sort
andpartial_sort_copy
arrange elements such that the elements are in the same order as a sorted list up to and including the middle index.
Changed#
Changed the default value of
rmake.py -a
todefault_gpus
. This is equivalent togfx906:xnack-,gfx1030,gfx1100,gfx1101,gfx1102
.Modified the input size in device adjacent difference benchmarks. Observed performance with these benchmarks might be different.
Changed the default seed for
device_benchmark_segmented_reduce
.
Removed#
rocprim::thread_load()
androcprim::thread_store()
have been deprecated. Usedereference()
instead.
Resolved issues#
Fixed an issue in
rmake.py
where the list storing cmake options would contain individual characters instead of a full string of options.Resolved an issue in
rtest.py
where it crashed if thebuild
folder was created withoutrelease
ordebug
subdirectories.Resolved an issue with
rtest.py
on Windows where passing an absolute path to--install_dir
caused aFileNotFound
error.rocPRIM functions are no longer forcefully inlined on Windows. This significantly reduces the build time of debug builds.
block_load
,block_store
,block_shuffle
,block_exchange
, andwarp_exchange
now use placementnew
instead of copy assignment (operator=
) when writing to local memory. This fixes the behavior of custom types with non-trivial copy assignments.Fixed a bug in the generation of input data for benchmarks, which caused incorrect performance to be reported in specific cases. It may affect the reported performance for one-byte types (
uint8_t
andint8_t
) and instantiations ofcustom_type
. Specifically, device binary search, device histogram, device merge and warp sort are affected.Fixed a bug for
rocprim::merge_path_search
where usingunsigned
offsets would produce incorrect results.Fixed a bug for
rocprim::thread_load
androcprim::thread_store
wherefloat
anddouble
were not cast to the correct type, resulting in incorrect results.Resolved an issue where tests were failing when they were compiled with
-D_GLIBCXX_ASSERTIONS=ON
.Resolved an issue where algorithms that used an internal serial merge routine caused a memory access fault that resulted in potential performance drops when using block sort, device merge sort (block merge), device merge, device partial sort, and device sort (merge sort).
Fixed memory leaks in unit tests due to missing calls to
hipFree()
and the incorrect use of hipGraphs.Fixed an issue where certain inputs to
block_sort_merge()
,device_merge_sort_merge_path()
,device_merge()
, andwarp_sort_stable()
caused an assertion error during the call toserial_merge()
.
ROCProfiler (2.0.0)#
Added#
JSON output plugin for
rocprofv2
. The JSON file matches Google Trace Format making it easy to load on Perfetto, Chrome tracing, or Speedscope. For Speedscope, use--disable-json-data-flows
option as speedscope doesn’t work with data flows.--no-serialization
flag to disable kernel serialization whenrocprofv2
is in counter collection mode. This allowsrocprofv2
to avoid deadlock when profiling certain programs in counter collection mode.FP64_ACTIVE
andENGINE_ACTIVE
metrics to AMD Instinct MI300 acceleratorNew HIP APIs with struct defined inside union.
Early checks to confirm the eligibility of ELF file in ATT plugin
Support for kernel name filtering in
rocprofv2
Barrier bit to read and stop packets
Changed#
Extended lifetime for proxy queues
Setting the
trace-start
option forrocprof
tooff
now disables kernel tracinglibpciaccess-dev
functions now load withdlopen
PcieAccessApi*
api andvoid* libpciaccess_handle
are now initialized tonullptr
Removed#
Obsolete BSD and GPL licenses
libsystemd-dev
fromCMakeLists.txt
Optimized#
ROCProfiler Performance improved to reduce profiling time for large workloads of counter collection
Resolved issues#
Bandwidth measurement in AMD Instinct MI300 accelerator
Perfetto plugin issue of
roctx
trace not getting displayed--help
for counter collectionSignal management issues in
queue.cpp
Perfetto tracks for multi-GPU
Perfetto plugin usage with
rocsys
Incorrect number of columns in the output CSV files for counter collection and kernel tracing
The ROCProfiler hang issue when running kernel trace, thread trace, or counter collection on Iree benchmark for AMD Instinct MI300 accelerator
Build errors thrown during parsing of unions
The system hang caused while running
--kernel-trace
with Perfetto for certain applicationsMissing profiler records issue caused while running
--trace-period
The hang issue of
ProfilerAPITest
ofrunFeatureTests
on AMD Instinct MI300 acceleratorSegmentation fault on Navi32
ROCprofiler-SDK (0.5.0)#
Added#
Start and end timestamp columns to the counter collection
csv
outputCheck to force tools to initialize context id with zero
Support to specify hardware counters for collection using
rocprofv3
asrocprofv3 --pmc [COUNTER [COUNTER ...]]
Changed#
--marker-trace
option forrocprofv3
now supports the legacy ROC-TX librarylibroctx64.so
when the application is linked against the new librarylibrocprofiler-sdk-roctx.so
Replaced deprecated
hipHostMalloc
andhipHostFree
functions withhipExtHostAlloc
andhipFreeHost
for ROCm versions starting 6.3Updated
rocprofv3
--help
optionsChanged naming of “agent profiling” to a more descriptive “device counting service”. To convert existing tool or user code to the new name, use the following sed:
find . -type f -exec sed -i 's/rocprofiler_agent_profile_callback_t/rocprofiler_device_counting_service_callback_t/g; s/rocprofiler_configure_agent_profile_counting_service/rocprofiler_configure_device_counting_service/g; s/agent_profile.h/device_counting_service.h/g; s/rocprofiler_sample_agent_profile_counting_service/rocprofiler_sample_device_counting_service/g' {} +
Changed naming of “dispatch profiling service” to a more descriptive “dispatch counting service”. To convert existing tool or user code to the new names, the following sed can be used:
-type f -exec sed -i -e 's/dispatch_profile_counting_service/dispatch_counting_service/g' -e 's/dispatch_profile.h/dispatch_counting_service.h/g' -e 's/rocprofiler_profile_counting_dispatch_callback_t/rocprofiler_dispatch_counting_service_callback_t/g' -e 's/rocprofiler_profile_counting_dispatch_data_t/rocprofiler_dispatch_counting_service_data_t/g' -e 's/rocprofiler_profile_counting_dispatch_record_t/rocprofiler_dispatch_counting_service_record_t/g' {} +
FETCH_SIZE
metric on gfx94x now usesTCC_BUBBLE
for 128B readsPMC dispatch-based counter collection serialization is now per-device instead of being global across all devices
Removed#
gfx8
metric definitionsrocprofv3
installation fromsbin
directory
Resolved issues#
Introduced subdirectory creation when
rocprofv3 --output-file
used to specify a folder pathFixed misaligned stores (undefined behavior) for buffer records
Fixed crash when only scratch reporting is enabled
Fixed
MeanOccupancy
metricsFixed aborted-application validation test to properly check for
hipExtHostAlloc
commandFixed implicit reduction of SQ and GRBM metrics
Fixed support for derived counters in reduce operation
Bug fixed in max-in-reduce operation
Introduced fix to handle a range of values for
select()
dimension in expressions parserFixed Navi3x kernel tracing issues by setting the conditional
aql::set_profiler_active_on_queue
only when counter collection is registered
rocPyDecode (0.2.0)#
Added#
RGB and YUV pytorch tensors
Python distribution wheel (
.whl
)Multiple usecase samples
Changed#
Clang replaces
hipcc
as the default CXX compiler.
Removed#
Make tests have been removed. CTEST is now used for both Make tests and package tests.
Optimized#
Setup script - build and runtime install options
Prerequisite installation helper Python scripts
Same GPU memory viewed as pytorch tensor
Resolved issues#
Fixed setup issues.
rocRAND (3.2.0)#
Added#
Added host generator for MT19937
Support for
rocrand_generate_poisson
in hipGraphsAdded
engine
,distribution
,mode
,throughput_gigabytes_per_second
, andlambda
columns for the csv format inbenchmark_rocrand_host_api
andbenchmark_rocrand_device_api
. To see these new columns, set--benchmark_format=csv
or--benchmark_out_format=csv --benchmark_out="outName.csv"
.
Changed#
Updated the default value for the
-a
argument fromrmake.py
togfx906:xnack-,gfx1030,gfx1100,gfx1101,gfx1102
.rocrand_discrete
for MTGP32, LFSR113 and ThreeFry generators now uses the alias method, which is faster than binary search in CDF.
Resolved issues#
Fixed an issue in
rmake.py
where the list storing the CMake options would contain individual characters instead of a full string of options.
rocSOLVER (3.27.0)#
Added#
64-bit APIs for existing functions:
LACGV_64
LARF_64
LARFG_64
GEQR2_64
(with batched and strided_batched versions)GEQRF_64
(with batched and strided_batched versions)POTF2_64
(with batched and strided_batched versions)POTRF_64
(with batched and strided_batched versions)POTRS_64
(with batched and strided_batched versions)
Changed#
The rocSPARSE library is now an optional dependency at runtime. If rocSPARSE is not available, rocSOLVER’s sparse refactorization and solvers functions will return
rocblas_status_not_implemented
.
Optimized#
Improved the performance of LARFG, LARF, and downstream functions such as GEQR2 and GEQRF on wave64 architectures
Improved the performance of BDSQR and GESVD
Improved the performance of STEDC and divide and conquer Eigensolvers
Resolved issues#
Fixed a memory allocation issue in SYEVJ that could cause failures on clients that manage their own memory.
Fixed a synchronizarion issue with SYEVJ that could led to a convergence failure for large matrices.
Fixed a convergence issue in STEIN stemming from numerical orthogonality of the initial choice of eigenvectors.
Fixed a synchronization issue in STEIN.
Known issues#
A known issue in STEBZ can lead to errors in routines based on bisection to compute eigenvalues for symmetric/Hermitian matrices (for example, SYEVX/HEEVX and SYGVX/HEGVX), as well as singular values (for example, BDSVDX and GESVDX).
rocSPARSE (3.3.0)#
Added#
rocsparse_create_extract_descr
,rocsparse_destroy_extract_descr
,rocsparse_extract_buffer_size
,rocsparse_extract_nnz
, androcsparse_extract
APIs to allow extraction of the upper or lower part of sparse CSR or CSC matrices.
Changed#
Change the default compiler from hipcc to amdclang in install script and CMake files.
Change address sanitizer build targets so that only gfx908:xnack+, gfx90a:xnack+, gfx940:xnack+, gfx941:xnack+, and gfx942:xnack+ are built when
BUILD_ADDRESS_SANITIZER=ON
is configured.
Optimized#
Improved user documentation
Resolved issues#
Fixed the
csrmm
merge path algorithm so that diagonal is clamped to the correct range.Fixed a race condition in
bsrgemm
that could on rare occasions cause incorrect results.Fixed an issue in
hyb2csr
where the CSR row pointer array was not being properly filled whenn=0
,coo_nnz=0
, orell_nnz=0
.Fixed scaling in
rocsparse_Xhybmv
when only performingy=beta*y
, for example, wherealpha==0
iny=alpha*Ax+beta*y
.Fixed
rocsparse_Xgemmi
failures when the y grid dimension is too large. This occurred whenn >= 65536
.Fixed the gfortran dependency for the Azure Linux operating system.
rocThrust (3.2.0)#
Added#
Merged changes from upstream CCCL/thrust 2.3.2
Only the NVIDIA backend uses
tuple
andpair
types from libcu++, other backends continue to use the original Thrust implementations and hence do not require libcu++ (CCCL) as a dependency.
Added the
thrust::hip::par_det
execution policy to enable bitwise reproducibility on algorithms that are not bitwise reproducible by default.
Changed#
Changed the default value of
rmake.py -a
todefault_gpus
. This is equivalent togfx906:xnack-,gfx1030,gfx1100,gfx1101,gfx1102
.Enabled the upstream (thrust) test suite for execution by default. It can be disabled by using the
-DENABLE_UPSTREAM_TESTS=OFF
cmake option.
Resolved issues#
Fixed an issue in
rmake.py
where the list storing cmake options would contain individual characters instead of a full string of options.Fixed the HIP backend not passing
TestCopyIfNonTrivial
from the upstream (thrust) test suite.Fixed tests failing when compiled with
-D_GLIBCXX_ASSERTIONS=ON
.
rocWMMA (1.6.0)#
Added#
Added OCP
F8
/BF8
datatype support
Changed#
Optimized some aos<->soa transforms with half-rotation offsets
Refactored the rocBLAS reference entry point for validation and benchmarking
ROCWMMA_*
preprocessor configurations are now all assigned valuesUpdated the default architecture targets for ASAN builds
Updated the actor-critic implementation
Resolved issues#
Fixed a bug in
F64
validation due to faulty typecastingFixed a bug causing runtime compilation errors with hipRTC
Various documentation updates and fixes
RPP (1.9.1)#
Added#
RPP Glitch and RPP Pixelate have been added to the HOST and HIP backend.
The following audio support was added to the HIP backend:
Resample
Pre-emphasis filter
Down-mixing
To Decibels
Non-silent region
Changed#
Test prerequisites have been updated.
AMD advanced build flag.
Removed#
Older versions of TurboJPEG have been removed.
Optimized#
Updated the test suite.
Resolved issues#
macOS build
RPP Test Suite: augmentations fix
Copy: bugfix for
NCDHW
layoutMIVisionX compatibility fix: Resample and pre-emphasis filter
Known issues#
Package installation only supports the HIP backend.
Upcoming changes#
Optimized audio augmentations
Tensile (4.42.0)#
Added#
Testing and documentation for
MasterSolutionLibrary.ArchitectureIndexMap
andremapSolutionIndicesStartingFrom
Functions for writing master file
tPrint
and reconcile printing optionsPython unit test coverage report
Factor embed library logic into function and test
clang++
ascxx
compiler option for WindowsLogic to cope with different compilers -
toFile
function to includegenerateManifest
and moved to utilitiesProfiling CI job
Support for
amdclang
and use defaultsArchitecture management functions in
TensileCreateLibrary
TensileCreateLibrary
CLI reference docsNew documentation for sphinx prototype and build out skeleton
Contributor and developer guide
Prediction model for optimal number of Stream-K tiles to run
Two-tile algorithm with Stream-K after DP
Atomic two-tile Stream-K and clean-up tuning parameters
Using glob to find logic files in
TensileCreateLibrary
Function to confirm supported compiler rather than raw logic
Changed#
Improved rocBLAS build output by allowing warning suppression, ignoring developer warnings, displaying progress bar and quiet printing
Reordered extensions for Windows in
which
functionupdated
amdclang++
andasm
directoriesUpdated duplicate marking tests with mocks
Restored print ordering
Print option
Bumped rocm-docs-core from 1.2.0 to 1.5.0 in
/docs/sphinx
Refactored kernel duplicate matching
Refactored
generateLogicDataAndSolutions
Restricted XCC mapping to gfx942
Refactored argument parsing in
TensileCreateLibrary
Disabled failing rhel9 tests
Changed line length to 100 characters for formatting
Changed YAML operations to use C
libyaml
backendImproved warning text
Updated clang support for Windows
Updated
supportedCompiler
functionClang support on Windows to require use of conditional choices and defaults
Refactored sanity check in
TensileCreateLibrary
Moved client config logic from
TensileCreateLibrary
main intocreateClientConfig
Updated
verifyManifest
inTensileCreateLibrary
Updated RTD configs
Cleaned up CMake to avoid redundant work during client builds
Updated Stream-K debug settings
Removed#
Deprecated flag from CI profiling job
Diagnostic print
Globals from
prepAsm
Deprecated
package-library
optionDuplicate
which
function and minor cleanup
Optimized#
To optimize the performance of Stream-K kernels:
Introduced analytical grid size prediction model
Remapped XCC-based workgroup
Resolved issues#
Fixed stream-K XCC configs for gfx942
Updated WMMA capability command for ISA 10+
Fixed progress bar character encoding error on Windows
Fixed solution redundancy removal
Fixed tuning imports for
pyyaml
Fixed printing of ASM capabilities for ROCm versions prior to 6.3
Fixed code objects by filtering kernels with build errors and unprocessed kernels
Fixed fully qualified
std::get
in contraction solutionsFixed
add -v flag
and change system invocationUsed conditional imports for new dependencies to fix yaml
CSafe
load and dump import and rich terminal print importFixed comments on
scalarStaticDivideAndRemainder
ROCm known issues#
ROCm known issues are noted on GitHub. For known issues related to individual components, review the Detailed component changes.
Instinct MI300X reports incorrect raw GPU timestamps#
On MI300X accelerators, the command processor firmware reports incorrect raw GPU timestamps. This issue is under investigation and will be addressed in a future release. See GitHub issue #4079.
Instinct MI300 series: backward weights convolution performance issue#
A performance issue affects certain tensor shapes during backward weights convolution when using FP16 or FP32 data types on Instinct MI300 series accelerators. This issue will be addressed in a future ROCm release. See GitHub issue #4080.
To mitigate the issue during model training, set the following environment variables:
export MIOPEN_FIND_MODE=3
export MIOPEN_FIND_ENFORCE=3
These settings enable auto-tuning on the first occurrence of a new tensor shape. The tuning results are stored in the user database, eliminating the need for repeated tuning when the same shape is encountered in subsequent runs. See the MIOpen section in the workload optimization guide to learn more about the MIOpen auto-tuning capabilities.
TransferBench package not functional#
TransferBench packages included in the ROCm 6.3.0 release are not compiled properly and are not functional for most GPU targets, except for gfx906. Full functionality will be available in a future ROCm release. See GitHub issue #4081.
TransferBench is a utility for benchmarking simultaneous transfers between user-specified devices (CPUs or GPUs). See the documentation at TransferBench documentation. If you want to use TransferBench, access the properly compiled packages at ROCm/TransferBench.
ROCm Compute Profiler post-upgrade#
In ROCm 6.3.0, the omniperf
package is now named rocprofiler-compute
. As a result, running apt install omniperf
will fail to locate the package.
Instead, use apt install rocprofiler-compute
. See ROCm Compute Profiler 3.0.0.
When upgrading from ROCm 6.2 to 6.3, any existing /opt/rocm-6.2/../omniperf
folders are not
automatically removed. To clean up these folders, manually uninstall Omniperf using apt remove omniperf
.
See GitHub issue #4082.
ROCm Systems Profiler post-upgrade#
In ROCm 6.3.0, the omnitrace
package is now named rocprofiler-systems
. As a result, running apt install omnitrace
will fail to locate the package.
Instead, use apt install rocprofiler-systems
. See ROCm Systems Profiler 0.1.0.
When upgrading from ROCm 6.2 to 6.3, any existing /opt/rocm-6.2/../omnitrace
folders are not
automatically removed. To clean up these folders, manually uninstall Omnitrace using apt remove omnitrace
.
See GitHub issue #4083.
Stale file due to OpenCL ICD loader deprecation#
When upgrading from ROCm 6.2.x to ROCm 6.3.0, the removal of the rocm-icd-loader
package leaves a stale file in the old rocm-6.2.x
directory. This has no functional impact. As a workaround, manually uninstall the
rocm-icd-loader
package to remove the stale file. This issue will be addressed in a future ROCm
release. See GitHub issue #4084.
ROCm Compute Profiler CTest failure in CI#
When running ROCm Compute Profiler’s (rocprof-compute
) CTest in the Azure CI environment, the
rocprof-compute
execution test fails. This issue is due to an outdated test file that was not renamed
(omniperf
to rocprof-compute
), and due to the ROCM_PATH
environment variable not being set in
the Azure CI environment, causing the tool to be unable to extract chip information as expected.
This issue will be addressed in a future ROCm release. See GitHub issue #4085.
MIVisionX memory access fault in Canny edge detection#
Canny edge detection kernels might access out-of-bounds memory locations while
computing gradient intensities on edge pixels. This issue is isolated to
Canny-specific use cases on Instinct MI300 series accelerators. This issue is
resolved in the MIVisionX develop
branch
and will be part of a future ROCm release. See GitHub issue #4086.
Transformer Engine test_distributed_fused_attn aborts with fatal Python error#
The test_distributed_fused_attn
Pytest case for JAX in Transformer Engine
for ROCm fails with a fatal Python
error under certain conditions. The root cause is unrelated Transformer Engine
but due to some issue within XLA. This XLA issue is under investigation and
will be addressed in a future release. See GitHub issue #4087.
AMD SMI manual build issue#
Manual builds of AMD SMI fail due to a broken link in its build configuration. This affects past AMD SMI releases as well. The fix is underway and will be applied to all branches at ROCm/amdsmi. See GitHub issue #4088.
ROCm Data Center Tool incorrect RHEL9 package version#
In previous versions of ROCm Data Center Tool (RDC) included with ROCm 6.2 for RHEL9, RDC’s version
number was incorrectly set to 1.0.0
. ROCm 6.3 includes RDC with the correct version number.
See GitHub issue #4089.
Important
If you’re using RHEL9, you must first uninstall the existing ROCm 6.2 RDC 1.0.0 package with sudo yum remove rdc
before upgrading to the ROCm 6.3 RDC package sudo yum install rdc
.
ROCm Validation Suite needs specified configuration file#
ROCm Validation Suite might fail for certain platforms if executed without the -c
option and
specifying the configuration file. See RVS command line
options
for more information. This issue will be addressed in a future release.
See GitHub issue #4090.
ROCm resolved issues#
The following are previously known issues resolved in this release. For resolved issues related to individual components, review the Detailed component changes.
Bandwidth limitation in gang and non-gang modes on Instinct MI300A#
Fixed an issue where expected target peak non-gang performance (~60 GB/s) and target peak gang performance (~90 GB/s) were not achieved. Previously, both gang and non-gang performance were observed to be limited at 45 GB/s. See issue #3496 on GitHub.
ROCm upcoming changes#
The following changes to the ROCm software stack are anticipated for future releases.
AMDGPU wavefront size compiler macro deprecation#
The __AMDGCN_WAVEFRONT_SIZE
macro is deprecated and support will be removed in an upcoming
release. It is recommended that any use of this macro be removed. For more information, see AMDGPU
support.
HIPCC Perl scripts deprecation#
The HIPCC Perl scripts (hipcc.pl
and hipconfig.pl
) will be removed in an upcoming release.