r1.15.5-deeprec2402

Major Features and Improvements

Embedding

• Refine KVInterface::GetShardedSnapshot API.
• Undefine EV GPU interface in CPU compile.
• Make Embedding backward compatible with previous saved_model.
• Log error when EV has been initialized in EV Import OP.

Op Implement

• Implement of SliceSend/SliceRecv Op.
• Implement FileSliceSend/FileSliceRecvOp.

SDK

• Add build SDK package.

BugFix

• Fix shared embedding frequency counting problem.
• Fix Graph contains EmbeddingVariable compiling issue.
• Fix a scheduling issue.
• Fix tensor shape meta-data bug for DataFrame Value.

ModelZoo

• Set Saver's parameter sharded=True in distributed training.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2402-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2402-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2310

Major Features and Improvements

Embedding

• Refactor the data structure of EmbeddingVariable.
• Add interface of EmbeddingVar for Elastic Training.
• Add GetSnapshot and Create API for EmbeddingVariable.
• Remove the dependency on private header file in EmbeddingVariable.

Runtime Optimization

• Canonicalize SaveV2 Op device spec in distributed training.
• Update log level in direct_session.

Distributed

• Add elastic-grpc server.

BugFix

• Fix missing return value of RestoreSSD of DramSSDHashStorage.
• Fix incorrect frequency in shared-embedding.
• Fix set initialized flag too early in restore subgraph.
• Fix wgrad bug in Sparse Operation Kit.
• Fix hang bug for async embedding lookup.
• Fix ps address list sort by index.
• Fix SharedEmbeddingColumn with PartitionedEmbedingVariable shape validation error.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2310-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2310-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2306

Major Features and Improvements

Embedding

• Support StaticGPUHashMap to optimize EmbeddingVariable in inference.
• Update logic of GroupEmbedding in feature_column API.
• Refine APIs for foward-backward optimization.
• Move insertions of new features into the backward process when lti-tier storage.
• Move insertion of new features into the backward ops.
• Modify calculation logic of embedding lookup sparse combiner.
• Add memory and performance tests of EmbeddingVariable.

Graph & Grappler Optimization

• Support IteratorGetNext for SmartStage as a starting node for searching.
• Reimplement PrefetchRunner in C++.

Runtime Optimization

• Dispatch expensive ops via multiple threads in theadpool.
• Enable multi-stream in session_group by default.
• Support for loading saved_model with device information when use p and multi_stream.
• Make ARENA_ARRAY_SIZE to be configurable.
• Optimize EV allocator performance.
• Integrate HybridBackend in collective training mode.

Ops & Hardware Acceleration

• Disable MatMul fused with LeakyRule when MKL is disabled.

Serving

• Clear virtual_device configurations before load new checkpoint.

Environment & Build

• Update docker images in user documents.
• Update DEFAULT_CUDA_VERSION and DEFAULT_CUDNN_VERSION in configure.py.
• Move thirdparties from WORKSPACE to workspace.bzl.
• Update urls corresponding to colm, ragel, aliyun-oss-sdk and uuid.
• Update default TF_CUDA_COMPUTE_CAPABILITIES to 7.0,7.5,8.0,8.6.
• Update SparseOperationKit to v23.5.01 and docker file.

BugFix

• Fix issue of missing params while constructing the ngScope.
• Fix memory leak to avoid OOM.
• Fix shape validation in API shared_embedding_columns.
• Fix the device placement bug of stage_subgraph_on_cpu in distributed.
• Fix hung issue when using both SOK and SmartStaged simultaneously.
• Fix bug: init global_step before saving variables
• Fix bug: reserve input nodes, clear saver devices on demand.
• Fix memory leak when a graph node is invalid.

ModelZoo

• Add examples and docs to demonstrate Collective Training.
• Update documents and config files for modelzoo benchmark.
• Update modelzoo README.

Tool & Documents

• Update cases of configure TF_CUDA_COMPUTE_CAPABILITIES for H100.
• Update COMMITTERS.md.
• Update device placement documents.
• Update document for SmartStage.
• Update session_group documents.
• Update the download link of the library that Processor depends on.
• Update sok to 1.20.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2306-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2306-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2304

Major Features and Improvements

Embedding

• Suport tf.int32 dtype using feature_column API tf.feature_column.categorical_column_with_embedding.
• Make the rules of export frequencies and versions the same as the rule of export keys.
• Optimize cuda kernel implementation in GroupEmbedding.
• Support to read embedding files with mmap and madvise, and direct IO.
• Add double check in find_wait_free of lockless dense hashmap.
• Change Embedding init value of version in EV from 0 to -1.
• Interface 'GetSnapshot()' backward compatibility.
• Implement CPU GroupEmbedding lookup sparse Op.
• Make GroupEmbedding compatible with sequence feature_column interface.
• Fix sp_weights indices calculation error in GroupEmbedding.
• Add group_strategy to control parallelism of group_embedding.

Graph & Grappler Optimization

• Support SparseTensor as placeholder in Sample-awared Graph Compression.
• Add Dice fusion grappler and ops.
• Enable MKL Matmul + Bias + LeakyRelu fusion.

Runtime Optimization

• Avoid unnecessary polling in EventMgr.
• Reduce lock cost and memory usage in EventMgr when use multi-stream.

Ops & Hardware Acceleration

• Register GPU implementation of int64 type for Prod.
• Register GPU implementation of string type for Shape, ShapeN and ExpandDims.
• Optimize list of GPU SegmentReductionOps.
• Optimize zeros_like_impl by reducing calls to convert_to_tensor.
• Implement GPU version of SparseSlice Op.
• Delay Reshape when rank > 2 in keras.layers.Dense so that post op can be fused with MatMul.
• Implement setting max_num_threads hint to oneDNN at compile time.
• Implement TensorPackTransH2DOp to improve SmartStage performance on GPU.

IO

• Add tensor shape meta-data support for ParquetDataset.
• Add arrow BINARY type support for ParquetDataset.

Serving

• Add Dice fusion to inference mode.
• Enable INFERENCE_MODE in processor.
• Support TensorRT 8.x in Inference.
• Add configure filed to control enable TensorRT or not.
• Add flag for device_placement_optimization.
• Avoid to clustering feature column related nodes when enable TensorRT.
• Optimize inference latency when load increment checkpoint.
• Optimize performance via only place TensorRT ops to gpu device.

Environment & Build

• Support CUDA 12.
• Update DEFAULT_CUDA_VERSION and DEFAULT_CUDNN_VERSION in configure.py.
• Move thirdparties from WORKSPACE to workspace.bzl.
• Update urls corresponding to colm, ragel, aliyun-oss-sdk and uuid.

BugFix

• Fix constant op placing bug for device placement optimization.
• Fix Nan issue occurred in group_embedding API.
• Fix SOK not compatible with variable issue.
• Fix memory leak when update full model in serving.
• Fix 'cols_to_output_tensors' not setted issue in GroupEmbedding.
• Fix core dump issue about saving GPU EmbeddingVariable.
• Fix cuda resource issue in KvResourceImportV3 kernel.
• Fix loading signature_def with coo_sparse bug and add UT.
• Fix the bug that the training ends early when the workqueue is enabled.
• Fix the control edge connection issue in device placement optimization.

ModelZoo

• Modify GroupEmbedding related function usage.
• Update masknet example with layernorm.

Tool & Documents

• Add tools for remove filtered features in checkpoint.
• Add Arm Compute Library (ACL) user documents.
• Update Embedding Variable document to fix initializer config example.
• Update GroupEmbedding document.
• Update processor documents.
• Add user documents for intel AMX.
• Add TensorRT usage documents.
• Update documents for ParquetDataset.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2304-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2304-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2302

Major Features and Improvements

Embedding

• Support same saver graph for EmbeddingVariable on GPU/CPU devices.
• Support save and restore parameters in HBM storage of EmbeddingVariable.
• Add GPU apply ops of Adam, AdamAsync, AdamW for multi-tier storage of EmbeddingVariable.
• Place output of KvResourceIsInitializedOp on CPU.
• Support GroupEmbedding to pack multiple feature columns lookup/apply.
• Optimize HBM-DRAM storage of EmbeddingVariable with intra parallelism and fine-grained synchronization.
• Support not saving filtered features when saving checkpoint.
• Support localized mode fusion in GroupEmbedding.
• Support to avoid preloaded IDs being eliminated in multi-tier embedding's cache.
• Support COMPACT layout to reduce memory cost in EmbeddingVariable.
• Support to ignore version when restore Embedding Variable with TF_EV_RESET_VERSION.
• Support restore custom dimension of Embedding Variable.
• Support merge and delete checkpoint files of SSDHash storage.

Graph & Grappler Optimization

• Optimize SmartStage by prefetching LookupID op.
• Decouple SmartStage and forward backward joint optimization.
• Support Sample-awared Graph Compression.
• Support CUDA multi-stream for Stage.
• Improve Device Placement Optimization performance.
• Add TensorBufferPutGpuOp to improve SmartStage performance on GPU device.

Runtime Optimization

• Enable EVAllocator by default.
• Optimize executor to eliminate sort latency and reduce memory.

Ops & Hardware Acceleration

• Add list of GPU Ops for forward backward joint optimization.
• Optimize FusedBatchNormGrad on CPU device.
• Support NCHW format input for FusedBatchNormOp.
• Use new asynchronous evaluation in Eigen to FusedBatchNorm.
• Add exponential_avg_factor attribute to FusedBatchNorm* kernels.
• Change AliUniqueGPU kernel implementation to AsyncOpKernel.
• Support computing exponential running mean and variance in fused_batch_norm.
• Upgrade oneDNN to 2.7 and ACL to 22.08.
• Use global cache for MKL primitives for ARM.
• Disable optimizing batch norm as sequence of post ops on AArch64.
• Restore re-mapper and fix BatchMatmul and FactoryKeyCreator under AArch64 + ACL.

Distributed

• Speedup SOK by GroupEmbedding which fuse multiple feature column together.

Serving

• Support to setup gpu config in SessionGroup.
• Support to use multiple GPUs in SessionGroup.
• Support processor to set multi-stream option.
• Add flag to disable per_session_host_allocator.
• Run init_op on all sessions in session_group.
• Skip invalid request and return error msg to client.
• Use graph signature as the key to get runtime executor.

Environment & Build

• Optimize compile time for kv_variable_ops module.
• Add dataset headers for custom op compilation.
• Add docker images for ARM based on ubuntu22.04.
• Upgrade BAZEL version to 3.7.2.

BugFix

• Do not cudaSetDevice to invisible GPU in CreateDevices.
• Fix concurrency issue caused by not reference to same lock in multi-tier storage.
• Fix parse input request bug.
• Fix the bug when saving empty GPU EmbeddingVariable.
• Fix the concurrency issue between feature eviction and embedding lookup in asynchronous training.

ModelZoo

• Support Parquet Dataset in list of models.
• Add GPU benchmark in Modelzoo.
• Unify the usage of price column in Taobao dataset.
• Add DeepFM model with int64 categorical id input.
• Update dataset url in Modelzoo.

Tool & Documents

• Add checkpoint meta transformer tool.
• Add list of user documents in English.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2302-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2302-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2212u1

Major Features and Improvements

BugFix

• Add flag to disable per_session_host_allocator.
• Fix bug of saving EmbeddingVariable with int32 type.
• Revert "Support fused batchnorm with any ndims and axis".

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2212u1-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2212u1-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2212

Major Features and Improvements

Embedding

• Refactor GPU Embedding Variable storage layer.
• Remove TENSORFLOW_USE_GPU_EV macro from embedding storage layer.
• Refactor KvResourceGather GPU Op.
• Add embedding memory pool for HBM storage of EmbeddingVariable.
• Refine the code HBM storage of EmbeddingVariable.
• Reuse the embedding files on SSD generated by EmbeddingVariable when save and restore checkpoint.
• Integrate single HBM EV into multi_tier EmbeddingVariable.

Graph & Grappler Optimization

• Filter out the 'stream_id' attribute in arithmetic optimizer.
• Add SimplifyEmbeddingLookupStage optimizer.
• Add ForwardBackwardJointOptimizationPass to eliminate duplicate hash in Gather and Apply ops for Embedding Variable.

Runtime Optimization

• Add allocators for each stream_executor in multi-context mode.
• Set multi-gpu devices in session_group mode.
• Add blacklist and whitelist to JitCugraph.
• Optimize CPU EVAllocator to speedup EmbeddingVariable performance.
• Support independent GPU host allocator for each session.
• Add GPU EVAllocator to speedup EmbeddingVariable on GPU.

Ops & Hardware Acceleration

• Add GPU implementation for Unique.
• Support indices type with DT_INT64 in sparse segment ops.
• Add list of gradient implementation for the following ops including SplitV, ConcatV2, BroadcastTo, Tile, GatherV2, Cumsum, Cast.
• Add C++ gradient op for Select.
• Add gradient implementation for SelectV2.
• Add C++ gradient op for Atan2.
• Add C++ gradients for UnsortedSegmentMin/Max/Sum.
• Refactor KvSparseApplyAdagrad GPU Op.
• Merge NV-TF r1.15.5+22.12.

Distributed

• Update seastar to control SDT by macro HAVE_SDT.
• Update WORKER_DEFAULT_CORE_NUM(8) and PS_EFAULT_CORE_NUM(2) default values.

Serving

• Support multi-model deployment in SessionGroup.
• Support user setup cpu-sets for each session_group.
• Support processor to load multi-models.
• Support GPU compilation in processor.
• Optimize independent GPU host allocator for each session.

Environment & Build

• Update systemtap to a valid source address.
• Support DeepRec's ABI compatible with TensorFlow 1.15 by configure TF_API_COMPATIBLE_1150.
• Upgrade base docker images based on ubuntu20.04 and python3.8.10.
• Update pcre-8.44 urls.
• Remove systemtap from third party and related dependency.
• Enable gcc optimization option -O3 by default.

BugFix

• Fix function definition issue in processor.
• Fix the hang when insert item into lockless hash map.
• Fix EmbeddingVariable hang/coredump in GPU mode.
• Fix memory leak in CUDA multi-stream when merge compute and copy stream.
• Fix wrong session devices order.
• Fix hwloc build error on alinux3.
• Fix double clear resource_mgr bug when use SessionGroup.
• Fix wrong Shrink causes unit tests to fail randomly.
• Fix the conflict when the EmbeddingVariable and embedding fusion is enabled simultaneously.
• Fix EmbeddingVarGPU coredump in destructor.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2212-cpu-py38-ubuntu20.04

GPU Image

alideeprec/deeprec-release:deeprec2212-gpu-py38-cu116-ubuntu20.04

r1.15.5-deeprec2210

Major Features and Improvements

Embedding

• Support HBM-DRAM-SSD storage in EmbeddingVariable multi-tier storage.
• Support multi-tier EmbeddingVariable initialized based on frequency when restore model.
• Support to lookup location of ids of EmbeddingVariable.
• Support kv_initialized_op for GPU Embedding Variable.
• Support restore compatibility of EmbeddingVariable using init_from_proto.
• Improve performance of apply/gather ops for EmbeddingVariable.
• Add Eviction Manager in EmbeddingVariable Multi-tier storage.
• Add unified thread pool for cache of Multi-tier storage in EmbeddingVariable.
• Save frequencies and versions of features in SSDHash and LevelDB storage of EmbeddingVariable.
• Avoid invalid eviction use HBM-DRAM storage of EmbeddingVariable.
• Preventing from accessing uninitialized data use EmbeddingVariable.

Graph & Grappler Optimization

• Optimize Async EmbeddingLookup by placement optimization.
• Place VarHandlerOp to Compute main graph for SmartStage.
• Support independent thread pool for stage subgraph to avoid thread contention.
• Implement device placement optimization.

Runtime Optimization

• Support CUDA Graph execution by adding CUDA Graph mode session.
• Support CUDA Graph execution in JIT mode.
• Support intra task cost estimate in CostModel in Executor.
• Support tf.stream and tf.colocate python API for CUDA multi-stream.
• Support embedding subgraphs partition policy when use CUDA multi-stream.
• Optimize CUDA multi-stream by merging copy stream into compute stream.

Ops & Hardware Acceleration

• Add a list of Quantized* and _MklQuantized* ops.
• Implement GPU version of SparseFillEmptyRows.
• Implement c version of spin_lock to support multi-architectures.
• Upgrade the OneDNN version to v2.7.

Distributed

• Support distributed training use SOK based on EmbeddingVariable.
• Add NETWORK_MAX_CONNECTION_TIMEOUT to support connection timeout configurable in StarServer.
• Upgrade the SOK version to v4.2.

IO

• Add TF_NEED_PARQUET_DATASET to enable ParquetDataset.

Serving

• Optimize embedding lookup performance by disable feature filter when serving.
• Optimize error code for user when parse request or response failed.
• Support independent update model threadpool to avoid performance jitter.

ModelZoo

• Add MaskNet Model.
• Add PLE Model.
• Support variable type BF16 in DCN model.

BugFix

• Fix tf.nn.embedding_lookup interface bug and session hang bug when enabling async embedding.
• Fix warmup failed bug when user set warmup file path.
• Fix build failure in ev_allocator.cc and hash.cc on ARM.
• Fix build failure in arrow when build on ARM
• Fix redefined error in NEON header file for ARM.
• Fix _mm_malloc build failure in sparsehash on ARM.
• Fix warmup failed bug when use session_group.
• Fix build save graph bug when creating partitioned EmbeddingVariable in feature_column API.
• Fix the colocation error when using EmbeddingVariable in distribution.
• Fix HostNameToIp fails by replacing gethostbyname by getaddrinfo in StarServer.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2210-cpu-py36-ubuntu18.04

GPU Image

alideeprec/deeprec-release:deeprec2210-gpu-py36-cu116-ubuntu18.04

Thanks to our Contributors

Duyi-Wang, Locke, shijieliu, Honglin Zhu, chenxujun, GosTraight2020, LALBJ, Nanno

r1.15.5-deeprec2208u1

Major Features and Improvements

BugFix

• Fix a list of Quantized* and _MklQuantized* ops not found issue.
• Fix build save graph bug when creating partitioned EmbeddingVariable in feature_column API.
• Fix warmup failed bug when user set warmup file path.
• Fix warmup failed bug when use session_group.

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2208u1-cpu-py36-ubuntu18.04

GPU Image

alideeprec/deeprec-release:deeprec2208u1-gpu-py36-cu116-ubuntu18.04

r1.15.5-deeprec2208

Major Features and Improvements

Embedding

• Multi-tier of EmbeddingVariable support HBM, add async compactor in SSDHashKV.
• Support tf.feature_column.shard_embedding_columns, SequenceCategoricalColumn and WeightedCategoricalColumn API for EmbeddingVariable.
• Support save and restore checkpoint of GPU EmbeddingVariable.
• Support EmbeddingVariable OpKernel with REAL_NUMBER_TYPES.
• Support user defined default_value for feature filter.
• Support feature column API for MultiHash.

Graph & Grappler Optimization

• Add FP32 fused l2 normalize op and grad op and tf.nn.fused_layer_normalize API.
• Add Concat+Cast fusion ops.
• Optimize SmartStage performance on GPU.
• Add macro to control to optimize mkl_layout_pass.
• Support asynchronous embedding lookup.

Runtime Optimization

• CPUAllocator, avoid multiple threads cleanup at the same time.
• Support independent intra threadpool for each session and intra threadpool be pinned to cpuset.
• Support multi-stream with virtual device.

Ops & Hardware Acceleration

• Implement ApplyFtrl, ResourceApplyFtrl, ApplyFtrlV2 and ResourceApplyFtrlV2 GPU kernels.
• Optimize BatchMatmul GPU kernel.
• Integrate cuBLASlt into backend and use BlasLtMatmul in batch_matmul_op.
• Support GPU fusion of matmal+bias+(activation).
• Merge NV-TF r1.15.5+22.06.

Optimizer

• Support AdamW optimizer for EmbeddingVariable.

Model Save/Restore

• Support asynchronously restore EmbeddingVariable from checkpoint.
• Support EmbeddingVariable in init_from_checkpoint.

Serving

• Add go/java/python client SDK and demo.
• Support GPU multi-streams in SessionGroup.
• Support independent inter thread pool for each session in SessionGroup.
• Support multi-tiered Embedding.
• Support immutable EmbeddingVariable.

Quantization

• Add low precision optimization tool, support BF16, FP16, INT8 for savedmodel and checkpoint.
• Add embedding variable quantization.

ModelZoo

• Optimize DIN's BF16 performance.
• Add DCN & DCNv2 models and MLPerf recommendation benchmark.

Profiler

• Add detail information for RecvTensor in timeline.

Dockerfile

• Add ubuntu 22.04 dockerfile and images with gcc11.2 and python3.8.6.
• Add cuda11.2, cuda11.4, cuda11.6, cuda11.7 docker images and use cuda 11.6 as default GPU image.

Environment & Build

• Update default TF_CUDA_COMPUTE_CAPABILITIES to 6.0,6.1,7.0,7.5,8.0.
• Upgrade bazel version to 0.26.1.
• Support for building DeepRec on ROCm2.10.0.

BugFix

• Fix build failures with gcc11 & gcc12.
• StarServer, remove user packet split to avoid multiple user packet out-of-order issue.
• Fix the 'NodeIsInGpu is not declare' issue.
• Fix the placement bug of worker devices when distributed training in Modelzoo.
• Fix out of range issue for BiasAddGrad op when enable AVX512.
• Avoid loading invalid model when model update in serving.

More details of features: https://deeprec.readthedocs.io/zh/latest/

Release Images

CPU Image

alideeprec/deeprec-release:deeprec2208-cpu-py36-ubuntu18.04

GPU Image

alideeprec/deeprec-release:deeprec2208-gpu-py36-cu116-ubuntu18.04