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Name	Modified	Size	InfoDownloads / Week
Parent folder
aimet_tf-2.13.0+cpu-cp310-cp310-manylinux_2_34_x86_64.whl	< 20 hours ago	5.7 MB	0
aimet_torch-2.13.0+cpu-py38-none-any.whl	< 20 hours ago	1.4 MB	0
aimet_onnx-2.13.0+cpu-cp310-cp310-manylinux_2_34_x86_64.whl	< 20 hours ago	1.1 MB	0
aimet_onnx-2.13.0+cpu-cp310-cp310-win_amd64.whl	< 20 hours ago	1.9 MB	0
aimet_onnx-2.13.0+cu121-cp310-cp310-manylinux_2_34_x86_64.whl	< 20 hours ago	68.5 MB	0
aimet_tf-2.13.0+cu118-cp310-cp310-manylinux_2_34_x86_64.whl	< 20 hours ago	17.0 MB	0
aimet_torch-2.13.0+cu121-py38-none-any.whl	< 20 hours ago	9.8 MB	0
README.md	2025-08-25	68.6 kB	0
Version 2.13.0 source code.tar.gz	2025-08-25	8.7 MB	0
Version 2.13.0 source code.zip	2025-08-25	10.1 MB	0
Totals: 10 Items		124.3 MB	0

What's Changed

Cmake cleanup by @quic-michof in https://github.com/quic/aimet/pull/3138
Add python implementation for cle by @quic-hitameht in https://github.com/quic/aimet/pull/3143
Remove Dequantize class by @quic-kyunggeu in https://github.com/quic/aimet/pull/3144
Add python implementation for bn fold by @quic-hitameht in https://github.com/quic/aimet/pull/3145
Fix bug in onnx perchannel mode with ConvTranspose by @quic-mtuttle in https://github.com/quic/aimet/pull/3149
Fix bug when layer has 'branch' in name by @quic-mtuttle in https://github.com/quic/aimet/pull/3148
Set save_as_external_data to True when saving a large model using onn… by @quic-huzh in https://github.com/quic/aimet/pull/3151
Remove hardcoded test directories by @quic-michof in https://github.com/quic/aimet/pull/3146
Add more quantized modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3156
Remove outdated note by @quic-ipendse in https://github.com/quic/aimet/pull/3113
Eps as minimum scale by @quic-kyunggeu in https://github.com/quic/aimet/pull/3159
Fix aimet_torch cle acceptance test by @quic-hitameht in https://github.com/quic/aimet/pull/3161
Fix typo in the import by @quic-hitameht in https://github.com/quic/aimet/pull/3162
Add fn to get fp32 lora layers by @quic-mangal in https://github.com/quic/aimet/pull/3160
Fix intermittent qsim2 test failures by @quic-mtuttle in https://github.com/quic/aimet/pull/3165
Change error to warning for tf-torch builds by @quic-mtuttle in https://github.com/quic/aimet/pull/3164
Open Source AMP by @quic-ykota in https://github.com/quic/aimet/pull/3167
More fine-grained options to set/detect C++ ABI in CMakeLists.txt. by @quic-michof in https://github.com/quic/aimet/pull/3166
Bypasss bug in torch.onnx.export by @quic-kyunggeu in https://github.com/quic/aimet/pull/3170
Register more quantized module definitions by @quic-kyunggeu in https://github.com/quic/aimet/pull/3171
Open source AMP docs/examples by @quic-ykota in https://github.com/quic/aimet/pull/3172
Add python implementation for bc by @quic-hitameht in https://github.com/quic/aimet/pull/3174
Use higher tolerance for bn fold test which requires GPU by @quic-hitameht in https://github.com/quic/aimet/pull/3173
Fix device issue with blockwise api by @quic-klhsieh in https://github.com/quic/aimet/pull/3177
Fix minor bug in utils.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3169
Fix torch AMP nightly tests by @quic-ykota in https://github.com/quic/aimet/pull/3178
Added support for GridSample Op and made ScatterND op Jit tracable by @quic-ssayanta in https://github.com/quic/aimet/pull/3182
Issue add quantizer to scale by @quic-mangal in https://github.com/quic/aimet/pull/3179
Fix matmul per-channel quantization axis by @quic-mtuttle in https://github.com/quic/aimet/pull/3184
Add QuantizedGroupNorm by @quic-kyunggeu in https://github.com/quic/aimet/pull/3183
Exclude bias from quantization for matmul add pattern by @quic-hitameht in https://github.com/quic/aimet/pull/3185
Support layernorm in onnx-quantsim by @quic-rgite in https://github.com/quic/aimet/pull/3180
Use 0-D scale for per-tensor quantizers by @quic-kyunggeu in https://github.com/quic/aimet/pull/3186
Rename elementwise_ops.py to nn/modules/custom.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3188
fixing a bug in setting default input while building cache dataset by @quic-sendilk in https://github.com/quic/aimet/pull/3190
Fix in-place function handling of QuantizedTensorBase by @quic-kyunggeu in https://github.com/quic/aimet/pull/3191
Fix onnx quantsim failures with large models by @quic-mtuttle in https://github.com/quic/aimet/pull/3154
Fix failure when model has unused MatMul layers by @quic-mtuttle in https://github.com/quic/aimet/pull/3192
Enable param renaming for export to onnx direct by @quic-klhsieh in https://github.com/quic/aimet/pull/3194
Dispatch-based implementation of quantized modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3195
Allow encoding inheritance of Tensor.type and Tensor.type_as by @quic-kyunggeu in https://github.com/quic/aimet/pull/3196
RmsNorm Op Support by @quic-gsaichai in https://github.com/quic/aimet/pull/3198
Register RmsNorm for quantization by @quic-klhsieh in https://github.com/quic/aimet/pull/3202
Allow compilation for cuda compute 90 by @quic-mtuttle in https://github.com/quic/aimet/pull/3203
Add GPTVQ document by @quic-geunlee in https://github.com/quic/aimet/pull/3199
Implement QuantizedBatchNorm/InstanceNorm by @quic-kyunggeu in https://github.com/quic/aimet/pull/3204
Migrate qmodule definitions of custom modules to nn/quantized/custom.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3206
Add placeholders for torch.nn.modules in alphabetical order by @quic-kyunggeu in https://github.com/quic/aimet/pull/3207
Fix TestTensorQuantizer test that compared against uninitialized data. by @quic-michof in https://github.com/quic/aimet/pull/3205
Simplify onnx IR using onnxscript by @quic-kyunggeu in https://github.com/quic/aimet/pull/3208
Mark lazy quantize wrapper as unquantizable by @quic-klhsieh in https://github.com/quic/aimet/pull/3212
Expose all custom modules to v2.nn namespace by @quic-kyunggeu in https://github.com/quic/aimet/pull/3213
Updated version to 1.34.0 by @quic-mprajapa in https://github.com/quic/aimet/pull/3097
Implement unary qmodules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3216
Add python only implementation for weight svd by @quic-hitameht in https://github.com/quic/aimet/pull/3218
Implement QuantizedConcat by @quic-kyunggeu in https://github.com/quic/aimet/pull/3219
Allow saving to external data for export to onnx direct by @quic-klhsieh in https://github.com/quic/aimet/pull/3222
Deprecate tar based rank selection algo by @quic-hitameht in https://github.com/quic/aimet/pull/3223
Handle variadic operators properly in propagate_output_encodings by @quic-kyunggeu in https://github.com/quic/aimet/pull/3217
Implement quantized RNN family by @quic-kyunggeu in https://github.com/quic/aimet/pull/3224
aimet_onnx adaround debugging by @quic-mtuttle in https://github.com/quic/aimet/pull/3226
Implement non-unary qmodules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3227
Ensure encoding symmetry in sequential MSE by @quic-kyunggeu in https://github.com/quic/aimet/pull/3225
Introducing the Quant Stats Visualizer - an interactive tool to visualize the statistics of quantized layers by @quic-ipendse in https://github.com/quic/aimet/pull/3228
Delete deprecated svd interface by @quic-hitameht in https://github.com/quic/aimet/pull/3229
Optimize memory consumption of quantize functions by @quic-kyunggeu in https://github.com/quic/aimet/pull/3230
Always compute scale in float32 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3231
Keras QAT accuracy mismatch issue in Range Learning Scheme by @quic-ssayanta in https://github.com/quic/aimet/pull/3215
Quantized module impl for hardswish, hardsigmoid, and unflatten by @quic-kyunggeu in https://github.com/quic/aimet/pull/3233
Implement quantized EmbeddingBag by @quic-kyunggeu in https://github.com/quic/aimet/pull/3234
Upgrade onnx and onnxruntime version by @quic-mtuttle in https://github.com/quic/aimet/pull/3235
QAT memory optimization by @quic-kyunggeu in https://github.com/quic/aimet/pull/3232
Add list of ops whose params not to be quantized (re-adding) by @quic-rgite in https://github.com/quic/aimet/pull/3237
Exception rules for specific ops as per backend constraints by @quic-rgite in https://github.com/quic/aimet/pull/3236
Update matmul exception logic by @quic-klhsieh in https://github.com/quic/aimet/pull/3239
Refrain using pretrained weights by @quic-hitameht in https://github.com/quic/aimet/pull/3241
Delete deprecated tf1.x APIs by @quic-hitameht in https://github.com/quic/aimet/pull/3242
Ignore non-tensor inputs during encoding propagation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3243
Update state dict for v2 float quantizers by @quic-klhsieh in https://github.com/quic/aimet/pull/3245
feat(keras): Lambda layers for ConnectedGraph by @quic-ernst in https://github.com/quic/aimet/pull/3248
SparseConv3D support by @quic-ristha in https://github.com/quic/aimet/pull/3250
Modify Per-channel Quantizer to Per-Tensor while use load_encodings_to_sim API with float encodings by @quic-gsaichai in https://github.com/quic/aimet/pull/3252
Upgrading CUDA-Version to 12.1 by @quic-gsaichai in https://github.com/quic/aimet/pull/3254
Fix minor bug in encoding propagation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3246
Pickling bugfix for torch1.x by @quic-kyunggeu in https://github.com/quic/aimet/pull/3258
Remove aimet torch dependency from aimet onnx by @quic-hitameht in https://github.com/quic/aimet/pull/3259
Adding AIMET example files into variant specific tarball by @quic-gsaichai in https://github.com/quic/aimet/pull/3257
Fixed onnx cle.ipynb. by @quic-rij in https://github.com/quic/aimet/pull/3064
SpConv3d op fixes by @quic-ssayanta in https://github.com/quic/aimet/pull/3264
Added missing standard C++ library to dependency list by @quic-mprajapa in https://github.com/quic/aimet/pull/3262
Adds encodings for onnx missed layers in torch encoding file. by @quic-saksrai in https://github.com/quic/aimet/pull/3261
Allow bfloat16 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3265
Temporarily skip pylint plugin processing in PR Jenkinsfile due to un… by @quic-bharathr in https://github.com/quic/aimet/pull/3266
Promote aimet v2 documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3270
Remove aimet tensor quantizer dep from aimet onnx by @quic-hitameht in https://github.com/quic/aimet/pull/3271
Make quantsim compatible with deepspeed zero3/zero-offload pre-partitioned models by @quic-kyunggeu in https://github.com/quic/aimet/pull/3274
Fix adaround null pointer bug by @quic-kyunggeu in https://github.com/quic/aimet/pull/3276
Debug inf/nan values during compute encodings by @quic-mtuttle in https://github.com/quic/aimet/pull/3275
Disable pylint warning by @quic-hitameht in https://github.com/quic/aimet/pull/3283
Reparametrize affine quantizer with (qmin, qmax) by @quic-kyunggeu in https://github.com/quic/aimet/pull/3282
Optimize GPTVQ peak memory usage by @quic-geunlee in https://github.com/quic/aimet/pull/3284
Remove randomness when initializing centroid distances by @quic-geunlee in https://github.com/quic/aimet/pull/3285
Implement broadcastable qdq kernel by @quic-mtuttle in https://github.com/quic/aimet/pull/3288
Fix exception rule failures from branch op by @quic-mtuttle in https://github.com/quic/aimet/pull/3287
Error handler for onnx simplifier in AdaRound by @quic-rgite in https://github.com/quic/aimet/pull/3273
Fix deepspeed import error by @quic-hitameht in https://github.com/quic/aimet/pull/3289
Make unit tests torch version agnostic in aimet-onnx by @quic-hitameht in https://github.com/quic/aimet/pull/3290
Fix export adapter weights by @quic-mangal in https://github.com/quic/aimet/pull/3293
Implement block level sampling to collect input tensor efficiently by @quic-geunlee in https://github.com/quic/aimet/pull/3298
Fix typehint for create_encoding_from_dict by @quic-gsaichai in https://github.com/quic/aimet/pull/3297
Ignore torch.uint8 during quantization by @quic-gsaichai in https://github.com/quic/aimet/pull/3295
Added documentation for SparseConvolution support and code example by @quic-ssayanta in https://github.com/quic/aimet/pull/3300
Export weight and enc api by @quic-ristha in https://github.com/quic/aimet/pull/3302
Util to load torch model with weights from safetensors by @quic-ristha in https://github.com/quic/aimet/pull/3304
Enable aimet-onnx acceptance tests by @quic-hitameht in https://github.com/quic/aimet/pull/3305
Add comments to explain the background of hacky workaround by @quic-kyunggeu in https://github.com/quic/aimet/pull/3308
Add more argument sanity checks for affine quantizer constructor by @quic-kyunggeu in https://github.com/quic/aimet/pull/3307
Deprecate FakeQuantizationMixin by @quic-kyunggeu in https://github.com/quic/aimet/pull/3311
Remove duplicate TOC entries by @quic-kyunggeu in https://github.com/quic/aimet/pull/3312
Added fixes for spconv in gpu by @quic-ssayanta in https://github.com/quic/aimet/pull/3315
Quant Stats Visualizer PR2 by @quic-ipendse in https://github.com/quic/aimet/pull/3316
Adding encoding analyzer input check by @quic-pdangi in https://github.com/quic/aimet/pull/3317
Add collective api for removing encodings by @quic-pdangi in https://github.com/quic/aimet/pull/3318
Encoding analyzer documentation by @quic-pdangi in https://github.com/quic/aimet/pull/3319
Fix issue with passthrough ops by @quic-seokan in https://github.com/quic/aimet/pull/3321
Make qsim export spot on weights by @quic-seokan in https://github.com/quic/aimet/pull/3322
SpConv fixes for dlc export by @quic-ssayanta in https://github.com/quic/aimet/pull/3324
Spacing fix by @quic-ssayanta in https://github.com/quic/aimet/pull/3325
Disable acceptance test temporarily by @quic-hitameht in https://github.com/quic/aimet/pull/3326
Aimet docker version fix by @quic-jpolizzi in https://github.com/quic/aimet/pull/3292
Updated version to 1.35.0 by @quic-bharathr in https://github.com/quic/aimet/pull/3327
Updated installation docs for Torch cuda 12.x and TF cudart 11-8 by @quic-bharathr in https://github.com/quic/aimet/pull/3328
Add visualize_stats API docs by @quic-mtuttle in https://github.com/quic/aimet/pull/3329
Add BQ support to onnx QcQuantizeOp by @quic-mtuttle in https://github.com/quic/aimet/pull/3330
Remove stale code by @quic-kyunggeu in https://github.com/quic/aimet/pull/3334
Updated cmake files to use CMAKE_INSTALL_LIBDIR instead of AIMET_INSTALL_DIR by @quic-bharathr in https://github.com/quic/aimet/pull/3333
Updated installation instructions and fixed wheel file installation commands by @quic-bharathr in https://github.com/quic/aimet/pull/3335
Optimize quantization functions with torch.compile by @quic-kyunggeu in https://github.com/quic/aimet/pull/3336
Test if quantized modules are torch.jit traceable by @quic-kyunggeu in https://github.com/quic/aimet/pull/3337
Exclude abstract nn.Module from quantization by @quic-kyunggeu in https://github.com/quic/aimet/pull/3339
Allow shape inference of CustomMarkers by @quic-kyunggeu in https://github.com/quic/aimet/pull/3338
Implement quantized cumsum and mm family by @quic-kyunggeu in https://github.com/quic/aimet/pull/3340
fix: resolve merge conflict in unit test by @quic-kyunggeu in https://github.com/quic/aimet/pull/3341
Migrate 'implements' method to base class by @quic-kyunggeu in https://github.com/quic/aimet/pull/3342
Minor refactoring in connected graph helper function by @quic-kyunggeu in https://github.com/quic/aimet/pull/3343
Add top-level onnx BQ API by @quic-mtuttle in https://github.com/quic/aimet/pull/3345
Quant Stats Visualizer - Handling Histogram Observers and extracting Advanced Stats - v2 by @quic-ipendse in https://github.com/quic/aimet/pull/3347
Removed autosummary from docs by @quic-bharathr in https://github.com/quic/aimet/pull/3349
Quant Stats Visualizer - Adding Box Plot visualization for Advanced Stats by @quic-ipendse in https://github.com/quic/aimet/pull/3350
Ga build docker images by @quic-hitameht in https://github.com/quic/aimet/pull/3351
Capture all static activation tensors for quantization by @quic-rgite in https://github.com/quic/aimet/pull/3355
Exception rule for Gather op by @quic-rgite in https://github.com/quic/aimet/pull/3356
Soft-deprecate rounding_mode parameter by @quic-kyunggeu in https://github.com/quic/aimet/pull/3358
Enable seq mse with lpbq by @quic-klhsieh in https://github.com/quic/aimet/pull/3360
Quantization User Guide edits by @dwelsch-esi in https://github.com/quic/aimet/pull/3348
Add AutoQuant with AMP by @quic-kyunggeu in https://github.com/quic/aimet/pull/3361
Declare explicit namespace package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3364
Use formal type comparison by @quic-kyunggeu in https://github.com/quic/aimet/pull/3365
Rmsnorm update by @quic-klhsieh in https://github.com/quic/aimet/pull/3363
Fix input order flipping issue in connected graph for Matmul, concat, Minimum and DynamicConv2d by @quic-gsaichai in https://github.com/quic/aimet/pull/3367
Explicitly disable quantizer if tensor is not float by @quic-ykota in https://github.com/quic/aimet/pull/3368
Fix typos in bq docstrings by @quic-mtuttle in https://github.com/quic/aimet/pull/3369
Use untrained resnet to preclude network connection during unit test by @quic-kyunggeu in https://github.com/quic/aimet/pull/3370
Add warning for the future change in the default value of quant_scheme by @quic-kyunggeu in https://github.com/quic/aimet/pull/3371
Enable batch norm fold in quantsim v2 by @quic-pdangi in https://github.com/quic/aimet/pull/3372
Add manual mixed precision APIs by @quic-ykota in https://github.com/quic/aimet/pull/3374
Migrate quantizer group unit tests by @quic-kyunggeu in https://github.com/quic/aimet/pull/3375
Migrate v1 code under aimet_torch.v1 subpackage by @quic-kyunggeu in https://github.com/quic/aimet/pull/3376
Refactor onnx quantsim export by @quic-mtuttle in https://github.com/quic/aimet/pull/3377
Fix node name within if node by @quic-hitameht in https://github.com/quic/aimet/pull/3378
Clean up QcQuantizeOp encoding APIs by @quic-mtuttle in https://github.com/quic/aimet/pull/3381
Fixed issue in op name retrival by @quic-cgulecha in https://github.com/quic/aimet/pull/3383
Support 1.0.0 encoding format in aimet_onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3386
Resolve pylint failures by @quic-mtuttle in https://github.com/quic/aimet/pull/3385
Add tie observers utility in aimet onnx by @quic-hitameht in https://github.com/quic/aimet/pull/3387
Revert onnx sim._export_encodings API by @quic-mtuttle in https://github.com/quic/aimet/pull/3388
Add deprecation warning for encoding version by @quic-klhsieh in https://github.com/quic/aimet/pull/3390
Unpinned torch version for aimet onnx variants by @quic-bharathr in https://github.com/quic/aimet/pull/3382
Keep AIMET custom modules as a single op in connected graph by @quic-klhsieh in https://github.com/quic/aimet/pull/3393
MMP: Ingest user requests and preprocess by @quic-ykota in https://github.com/quic/aimet/pull/3394
Update Pytorch AMP supported kernels logic by @quic-klhsieh in https://github.com/quic/aimet/pull/3396
Fixed torch and ONNX installation instructions (added missing find-links option) by @quic-bharathr in https://github.com/quic/aimet/pull/3397
fix/Fix per-channel quantization bug in multi-output for aimet_onnx by @jinhyeokparknota in https://github.com/quic/aimet/pull/3400
Fix typo by @quic-kyunggeu in https://github.com/quic/aimet/pull/3401
Allow defining non-leaf quantized modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3402
Fix aimet tensorflow doc rendering by @quic-hitameht in https://github.com/quic/aimet/pull/3403
Compression doc edits. by @dwelsch-esi in https://github.com/quic/aimet/pull/3404
converted pipelines to use matrix w/ aimet-extra running after by @quic-twilkens in https://github.com/quic/aimet/pull/3405
Update QAT notebook by @emmanuel-ferdman in https://github.com/quic/aimet/pull/3391
Resolve pylint failure by @quic-hitameht in https://github.com/quic/aimet/pull/3406
Fixed in docker usage PR Jenkinsfile and script by @quic-bharathr in https://github.com/quic/aimet/pull/3407
Activation clamping for onnx by @quic-rgite in https://github.com/quic/aimet/pull/3409
Support LPBQ in aimet_onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3412
Delete FakeQuantizationMixin documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3413
Edited Jupyter Notebook examples by @dwelsch-esi in https://github.com/quic/aimet/pull/3414
Add descriptive error messages when importing encodings by @quic-mtuttle in https://github.com/quic/aimet/pull/3415
Show actual import error when libpymo import fails by @quic-mtuttle in https://github.com/quic/aimet/pull/3417
Use unittest.mock to mock onnxscript in doc build by @quic-mtuttle in https://github.com/quic/aimet/pull/3416
Migrate v1-specific non-public modules to aimet_torch.v1 namespace by @quic-kyunggeu in https://github.com/quic/aimet/pull/3418
Add documentation with concrete code examples for @implements API by @quic-kyunggeu in https://github.com/quic/aimet/pull/3419
Fix duplicate import causing pylint warning by @quic-geunlee in https://github.com/quic/aimet/pull/3420
Added Sequential MSE for ONNX by @quic-ristha in https://github.com/quic/aimet/pull/3422
Onnx memory optimization by @quic-rgite in https://github.com/quic/aimet/pull/3424
Fix unit-tests & pylint errors seq-mse by @quic-rgite in https://github.com/quic/aimet/pull/3427
Set MatMul op to use per-tensor quantization by @quic-mtuttle in https://github.com/quic/aimet/pull/3429
Support encoding constraints in aimet onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3430
Add code placeholder for custom quantized modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3425
Set cmake compiler flag to Level 3 Optimization to improve performance by @quic-ssayanta in https://github.com/quic/aimet/pull/3433
Make quantsim quantize all constants except singleton parameter by @quic-kyunggeu in https://github.com/quic/aimet/pull/3431
Rename get_encoding (singular) to get_encodings (plural) by @quic-kyunggeu in https://github.com/quic/aimet/pull/3437
Disable BN running stats quantization in onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3434
Allow nested dispatch by @quic-kyunggeu in https://github.com/quic/aimet/pull/3442
Implement encoding rescaler by @quic-akhobare in https://github.com/quic/aimet/pull/3441
Align v2 adaround module/package names with v1 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3444
Make second argument of compute_encodings optional by @quic-kyunggeu in https://github.com/quic/aimet/pull/3443
Remove separate quantsim v2 doc build by @quic-mtuttle in https://github.com/quic/aimet/pull/3447
Draft implementation of lora.QuantizedLinear by @quic-kyunggeu in https://github.com/quic/aimet/pull/3451
Adding support for custom normalization modules by @quic-pdangi in https://github.com/quic/aimet/pull/3450
Ensure the synchronization of parameters using zero offload by @quic-huzh in https://github.com/quic/aimet/pull/3436
removed editable mode stage/matrix by @quic-twilkens in https://github.com/quic/aimet/pull/3446
Add model simplification step in onnx notebooks by @quic-rgite in https://github.com/quic/aimet/pull/3454
Fix aimet_onnx standalone bn handling by @quic-mtuttle in https://github.com/quic/aimet/pull/3448
Use formal type comparison only by @quic-kyunggeu in https://github.com/quic/aimet/pull/3453
Declare quantized lora layers only when peft library is present by @quic-kyunggeu in https://github.com/quic/aimet/pull/3452
Expose quantized tensor documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3457
Rename ExportableQuantModule to QuantizedModuleProtocol by @quic-kyunggeu in https://github.com/quic/aimet/pull/3455
Fix onnx BQ segfaults with large models by @quic-mtuttle in https://github.com/quic/aimet/pull/3459
Register quantized definitions of lora layers automatically upon import aimet_torch.v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3456
Fix minor bug in has_hooks by @quic-kyunggeu in https://github.com/quic/aimet/pull/3460
Add sandbox for new documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3458
Add js and xml to package_data by @quic-geunlee in https://github.com/quic/aimet/pull/3462
Fix unexpected keyword error when deepspeed is not available by @quic-kyunggeu in https://github.com/quic/aimet/pull/3461
Improve GitHub Actions CI by @quic-bharathr in https://github.com/quic/aimet/pull/3464
MMP: Propagate user requests upstream, apply requests to quantsim by @quic-ashvkuma in https://github.com/quic/aimet/pull/3466
Fix import failure in PyTorch 1.x by @quic-kyunggeu in https://github.com/quic/aimet/pull/3468
Preserve input/output structure in Torch ConnectedGraph by @quic-ashvkuma in https://github.com/quic/aimet/pull/3467
Remove match-case syntax for compatibility with Python<3.10 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3472
Fix pylint error by @quic-kyunggeu in https://github.com/quic/aimet/pull/3473
Fix onnx PCQ bug by @quic-mtuttle in https://github.com/quic/aimet/pull/3476
Add beta content by @quic-kyunggeu in https://github.com/quic/aimet/pull/3471
Add flag for push-button transition between v1 and v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3479
Add quantized definition of custom numerical operations by @quic-pdangi in https://github.com/quic/aimet/pull/3481
Fix unit test failure with deepspeed >= 0.15.4 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3482
Unpin docutils version by @quic-kyunggeu in https://github.com/quic/aimet/pull/3478
Remove save to yaml ability by @quic-klhsieh in https://github.com/quic/aimet/pull/3487
Add sphinx extensions for new doc by @quic-kyunggeu in https://github.com/quic/aimet/pull/3477
Preliminary refactoring for export versioning by @quic-kyunggeu in https://github.com/quic/aimet/pull/3483
Install doc edits. by @dwelsch-esi in https://github.com/quic/aimet/pull/3398
Remove transformers from packaging dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3489
Remove spconv from package dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3488
Updated Jenkinsfile to update aimet extra jobs for release branch PRs by @quic-bharathr in https://github.com/quic/aimet/pull/3465
Remove cylp from package dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3491
Remove cumm from dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3492
Fix type error when spconv doesn't exist by @quic-kyunggeu in https://github.com/quic/aimet/pull/3493
Replace progressbar with tqdm by @quic-kyunggeu in https://github.com/quic/aimet/pull/3494
Add missing dependencies by @quic-kyunggeu in https://github.com/quic/aimet/pull/3495
Restore broken zlib dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3497
Remove source code incompatibility with Python<3.9 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3496
Fix Pylint warnings in aimet_torch connectedgraph by @quic-ashvkuma in https://github.com/quic/aimet/pull/3498
Fix tie_quantizer errors with unquantizable ops by @quic-mtuttle in https://github.com/quic/aimet/pull/3505
Relax overly strict aimet dependencies by @quic-mtuttle in https://github.com/quic/aimet/pull/3504
Furo theme by @dwelsch-esi in https://github.com/quic/aimet/pull/3490
Restructure module dependencies of v1/v2 seq_mse by @quic-kyunggeu in https://github.com/quic/aimet/pull/3484
Support all python in ubuntu2204 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3511
Loosen sphinx version requirement in py38 fast-release Dockerfile by @quic-kyunggeu in https://github.com/quic/aimet/pull/3513
Add PYTHON_VERSION arg to fast-release Dockerfile by @quic-kyunggeu in https://github.com/quic/aimet/pull/3512
Prevent exception rule from applying to float quantization by @quic-geunlee in https://github.com/quic/aimet/pull/3510
Simplify fast-release docker image by @quic-kyunggeu in https://github.com/quic/aimet/pull/3515
Rename QuantizerProtocol and QuantizedModuleProtocol as private classes by @quic-kyunggeu in https://github.com/quic/aimet/pull/3516
Delete mha_classifier.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3518
Fix pylint failures from cyclic import by @quic-mtuttle in https://github.com/quic/aimet/pull/3514
Clean up fast-release directory by @quic-kyunggeu in https://github.com/quic/aimet/pull/3517
Debug onnx BN fold with shared stats by @quic-mtuttle in https://github.com/quic/aimet/pull/3506
Add special handling for attribute descriptors of QuantizedTensorBase by @quic-kyunggeu in https://github.com/quic/aimet/pull/3519
Add ONNX Batch norm folding doc by @quic-geunlee in https://github.com/quic/aimet/pull/3521
Updating AdaRound PyTorch docs by @quic-pdangi in https://github.com/quic/aimet/pull/3522
Unpin PyTorch tiny version by @quic-kyunggeu in https://github.com/quic/aimet/pull/3525
Use broadcasting impl for onnx per-channel quantization by @quic-mtuttle in https://github.com/quic/aimet/pull/3524
Add installation instructions in beta docs by @quic-hitameht in https://github.com/quic/aimet/pull/3526
Add quantization workflow by @quic-hitameht in https://github.com/quic/aimet/pull/3527
Add missing sphinx extension for furo theme by @quic-hitameht in https://github.com/quic/aimet/pull/3529
Replace lapacke with eigen by @quic-kyunggeu in https://github.com/quic/aimet/pull/3530
Remove unused imports by @quic-geunlee in https://github.com/quic/aimet/pull/3531
Populate content for the beta docs by @quic-hitameht in https://github.com/quic/aimet/pull/3535
Update version 1.36.0 by @quic-msarma in https://github.com/quic/aimet/pull/3533
Removing PT-113 legacy variant by @quic-msarma in https://github.com/quic/aimet/pull/3536
Fix custom_tensor_utils for environments without spconv by @quic-gsaichai in https://github.com/quic/aimet/pull/3538
Upgrade onnx and torch packages in docker image for docs by @quic-hitameht in https://github.com/quic/aimet/pull/3542
Restructure module dependencies of v1/v2 adaround by @quic-kyunggeu in https://github.com/quic/aimet/pull/3549
Temporarily restore ExportableQuantModule for backwards-compatibility by @quic-kyunggeu in https://github.com/quic/aimet/pull/3550
Fix to_custom_tensor fallback to take two inputs by @quic-gsaichai in https://github.com/quic/aimet/pull/3552
Support encoding inheritance of Tensor.T, H, mT, and mH by @quic-kyunggeu in https://github.com/quic/aimet/pull/3548
Remove redundant furo theme CSS files. by @dwelsch-esi in https://github.com/quic/aimet/pull/3553
Add css entry for script-output by @quic-kyunggeu in https://github.com/quic/aimet/pull/3545
Polish adaround doc by @quic-kyunggeu in https://github.com/quic/aimet/pull/3547
API reference for aimet_torch.v2 QuantizationSimModel by @quic-kyunggeu in https://github.com/quic/aimet/pull/3546
Update encoding rescaler packaging logic by @quic-klhsieh in https://github.com/quic/aimet/pull/3554
Fix typo in documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3555
Add Search and version selection by @dwelsch-esi in https://github.com/quic/aimet/pull/3543
Modify PyTorch QuantSim code example by @quic-geunlee in https://github.com/quic/aimet/pull/3559
Modify ONNX QuantSim code example by @quic-geunlee in https://github.com/quic/aimet/pull/3560
Updating AIMET version to 2.0.0 by @quic-msarma in https://github.com/quic/aimet/pull/3556
Upgraded tf-torch-cpu pip packages in dependencies list by @quic-msarma in https://github.com/quic/aimet/pull/3558
Fix onnx imagenet evaluator by @quic-rgite in https://github.com/quic/aimet/pull/3557
Add pending feature guide by @quic-hitameht in https://github.com/quic/aimet/pull/3561
Quantizer doc by @quic-kyunggeu in https://github.com/quic/aimet/pull/3564
MMP: Input and Output APIs by @quic-ashvkuma in https://github.com/quic/aimet/pull/3562
Let cmake use exact system default python by @quic-kyunggeu in https://github.com/quic/aimet/pull/3563
Fix onnx torch dependency by @quic-twilkens in https://github.com/quic/aimet/pull/3567
Avoid recursion in get_ordered_ops by @quic-mtuttle in https://github.com/quic/aimet/pull/3565
Fixed packaging mechanism to set portable rpaths for multiple .so fil… by @quic-bharathr in https://github.com/quic/aimet/pull/3570
Fix warnings during document build by @quic-geunlee in https://github.com/quic/aimet/pull/3573
Fixed pylint warnings from mixed precision by @quic-ashvkuma in https://github.com/quic/aimet/pull/3574
Cleaned up logic for input dtypes while initializing quantizers by @quic-cgulecha in https://github.com/quic/aimet/pull/3569
Utility to load modules in runtime added by @quic-ristha in https://github.com/quic/aimet/pull/3576
Disable pylint warning by @quic-bharathr in https://github.com/quic/aimet/pull/3577
Fix sklearn<1.6 backwards-compatibility issue by @quic-bharathr in https://github.com/quic/aimet/pull/3578
BatchNorm fold bug fix for layers having submodules by @quic-ssayanta in https://github.com/quic/aimet/pull/3583
Batch size issue in the per-layer output utility by @quic-ssayanta in https://github.com/quic/aimet/pull/3581
Restructure batch_norm_fold module dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3579
Ensure pip is installed in fast-release docker image by @quic-kyunggeu in https://github.com/quic/aimet/pull/3585
BatchNorm Folding issue incase of KerasTensor in kwargs by @quic-ssayanta in https://github.com/quic/aimet/pull/3588
MMP: Resolve Contentions and add support for logging by @quic-ykota in https://github.com/quic/aimet/pull/3586
Unpinned deepspeed, transformers and peft packages in dev dockers by @quic-bharathr in https://github.com/quic/aimet/pull/3595
Add scaled dot product attention by @quic-hitameht in https://github.com/quic/aimet/pull/3593
Fix AdaRound pad attribute handling for convtranspose by @quic-mtuttle in https://github.com/quic/aimet/pull/3590
Allow per-channel quantization with GroupedBlockwise quantizers by @quic-mtuttle in https://github.com/quic/aimet/pull/3596
MMP Reorganization by @quic-ashvkuma in https://github.com/quic/aimet/pull/3594
Add advanced installation instructions by @quic-hitameht in https://github.com/quic/aimet/pull/3597
Retag image using buildx by @quic-emironov in https://github.com/quic/aimet/pull/3592
Make bias correction v2 compatible by @quic-kyunggeu in https://github.com/quic/aimet/pull/3601
Migrate amp to v1 namespace by @quic-kyunggeu in https://github.com/quic/aimet/pull/3602
Restructure quantsim guide by @quic-hitameht in https://github.com/quic/aimet/pull/3599
Fix code incompatible with python 3.8 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3605
Supplement unknown module type error message by @quic-kyunggeu in https://github.com/quic/aimet/pull/3604
Make internal utils compatible with v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3606
Refactor layer_database to be compatible with both v1 and v2 quantsim by @quic-kyunggeu in https://github.com/quic/aimet/pull/3608
MMP: disable pylint fstring interpolation warning by @quic-ashvkuma in https://github.com/quic/aimet/pull/3607
Make AMP util functions v2-compatible by @quic-kyunggeu in https://github.com/quic/aimet/pull/3609
Make onnx ConnectedGraph one-to-one with onnx model by @quic-mtuttle in https://github.com/quic/aimet/pull/3610
Added check for pad attribute by @quic-cgulecha in https://github.com/quic/aimet/pull/3612
Optimize aimet torch 1 0 0 encoding export by @quic-klhsieh in https://github.com/quic/aimet/pull/3611
Remove unused constants by @quic-kyunggeu in https://github.com/quic/aimet/pull/3603
Implement aimet_torch.v2 AMP by @quic-kyunggeu in https://github.com/quic/aimet/pull/3615
Handling the case for cast op where the dtype of the input tensor is same as that of the cast op by @quic-ssayanta in https://github.com/quic/aimet/pull/3614
Migrate v1-specific util functions to aimet_torch.v1.utils by @quic-kyunggeu in https://github.com/quic/aimet/pull/3616
Pin ORT session to CPU for deriving dtype of activation tensors by @quic-rgite in https://github.com/quic/aimet/pull/3620
Migrate common portion to aimet_torch._base.amp by @quic-kyunggeu in https://github.com/quic/aimet/pull/3619
Resturcture autoquant dependencies by @quic-seokan in https://github.com/quic/aimet/pull/3621
Delete blockwise quant recipes by @quic-kyunggeu in https://github.com/quic/aimet/pull/3618
Fix cyclic import pylint warning by @quic-hitameht in https://github.com/quic/aimet/pull/3622
Raise import error from when aimet_torch.v2 is the default API by @quic-kyunggeu in https://github.com/quic/aimet/pull/3617
Add links to past versions of docs by @quic-hitameht in https://github.com/quic/aimet/pull/3624
Fix bug in torch imagenet trainer by @quic-mtuttle in https://github.com/quic/aimet/pull/3625
Give informative error message for missing CG products by @quic-mtuttle in https://github.com/quic/aimet/pull/3626
Remove unnecessary v1 imports by @quic-kyunggeu in https://github.com/quic/aimet/pull/3628
Migrate common components to aimet_torch._base.quantsim by @quic-kyunggeu in https://github.com/quic/aimet/pull/3629
Refactoring: Merge LazyParamQuantizer class into LazyQuantizer by @quic-kyunggeu in https://github.com/quic/aimet/pull/3630
Migrate v1-specific util functions to aimet_torch.v1.utils by @quic-kyunggeu in https://github.com/quic/aimet/pull/3631
Remove libpymo from bias_correction by @quic-kyunggeu in https://github.com/quic/aimet/pull/3633
Restructure module dependencies of v1/v2 quant analyzer by @quic-seokan in https://github.com/quic/aimet/pull/3637
Add autoquant with amp support to quantsim v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3632
Remove v1 imports from bias_correction by @quic-kyunggeu in https://github.com/quic/aimet/pull/3634
Insulate LazyQuantWrapper from libpymo by @quic-kyunggeu in https://github.com/quic/aimet/pull/3635
Suppress pylint warning by @quic-kyunggeu in https://github.com/quic/aimet/pull/3638
fix: fix sim.export bug of non-leaf quantized modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3639
Optimize onnx quantsim init latency for large graphs by @quic-mtuttle in https://github.com/quic/aimet/pull/3640
MMP: Add support for supported_kernels validation by @quic-ykota in https://github.com/quic/aimet/pull/3641
Remove onnxsim from aimet_torch by @quic-kyunggeu in https://github.com/quic/aimet/pull/3642
refactor: reduce v1 imports in quantsim code by @quic-kyunggeu in https://github.com/quic/aimet/pull/3643
refactor: declare module, named_qmodule(), and qmodule() as interface by @quic-kyunggeu in https://github.com/quic/aimet/pull/3644
refactor: remove v1 import in v2 AMP by @quic-kyunggeu in https://github.com/quic/aimet/pull/3646
refactor: remove v1 import in v2 quant analyzer by @quic-kyunggeu in https://github.com/quic/aimet/pull/3647
refactor: migrate v1.nn to _base.nn by @quic-kyunggeu in https://github.com/quic/aimet/pull/3645
refactor: rename _base/quantsim/quantsim.py to _base/quantsim.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3648
refactor: migrate quantsim init to _base.quantsim by @quic-kyunggeu in https://github.com/quic/aimet/pull/3649
fix: fix bug and pylint warning by @quic-kyunggeu in https://github.com/quic/aimet/pull/3650
Updated build n test script to remove docs build from non-docs varian… by @quic-bharathr in https://github.com/quic/aimet/pull/3652
Add release notes for past releases by @quic-hitameht in https://github.com/quic/aimet/pull/3654
refactor: migrate quantsim export() to _base.quantsim by @quic-kyunggeu in https://github.com/quic/aimet/pull/3653
Glossary by @dwelsch-esi in https://github.com/quic/aimet/pull/3572
test: add import test that checks isolation of v1 subpackage by @quic-kyunggeu in https://github.com/quic/aimet/pull/3656
Bootstrap examples for PyTorch in quick start by @quic-hitameht in https://github.com/quic/aimet/pull/3655
refactor: articulate imports by @quic-kyunggeu in https://github.com/quic/aimet/pull/3657
Fix the acceptance test by @quic-hitameht in https://github.com/quic/aimet/pull/3660
Promote new docs by @quic-hitameht in https://github.com/quic/aimet/pull/3659
Suppress pylint cyclic-import false alarm by @quic-kyunggeu in https://github.com/quic/aimet/pull/3661
refactor: make v1 unittest subdirectory by @quic-kyunggeu in https://github.com/quic/aimet/pull/3658
refactor: import base/affine/float subpackages in v2.quantization subpackage by @quic-kyunggeu in https://github.com/quic/aimet/pull/3651
Unpin PyTorch version by @quic-kyunggeu in https://github.com/quic/aimet/pull/3664
Expose public APIs for loading/saving quantsim for backwards-compatbility by @quic-kyunggeu in https://github.com/quic/aimet/pull/3665
Remove platform tag from aimet_torch pip package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3666
Export QuantizationSimModel API in root package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3668
Enabled PR job pylint warnings parsing plugin (for legacy Jenkins instances), fixed broken links in README and Examples MD files by @quic-bharathr in https://github.com/quic/aimet/pull/3667
Export QuantizationSimModel API in root package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3671
Update aimet_torch.v2 apis to default in the docs by @quic-hitameht in https://github.com/quic/aimet/pull/3672
Remove USE_PYTHON_IMPL flag by @quic-pdangi in https://github.com/quic/aimet/pull/3669
build: exclude unnecessary files from pip package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3675
build: unpin setuptools by @quic-kyunggeu in https://github.com/quic/aimet/pull/3676
Deprecate quantsim util APIs by @quic-kyunggeu in https://github.com/quic/aimet/pull/3677
Export v2.quantization package to root package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3674
fix: remove USE_PYTHON_IMPL flag from nightly tests by @quic-kyunggeu in https://github.com/quic/aimet/pull/3678
Impl seqmse offload by @quic-huzh in https://github.com/quic/aimet/pull/3663
fix: fix sequential mse runtime error upon grouped conv2d by @quic-kyunggeu in https://github.com/quic/aimet/pull/3679
Fix bug in onnx CLS pattern matching by @quic-kyunggeu in https://github.com/quic/aimet/pull/3682
fix: fix wildcard import error with module-level getattr function by @quic-kyunggeu in https://github.com/quic/aimet/pull/3680
Migrate spy_auto_quant to _base.auto_quant by @quic-kyunggeu in https://github.com/quic/aimet/pull/3683
MMP updates to align with Python 3.8 requirements by @quic-ashvkuma in https://github.com/quic/aimet/pull/3681
SeqMse Empty Initializer Fix by @quic-alanmaha in https://github.com/quic/aimet/pull/3685
Deduplicate CallbackFunc class definitions by @quic-kyunggeu in https://github.com/quic/aimet/pull/3686
Fix Seq mse output tensor bug by @quic-alanmaha in https://github.com/quic/aimet/pull/3688
Change default quant scheme by @quic-kyunggeu in https://github.com/quic/aimet/pull/3687
BREAKING_CHANGE: switch aimet_torch default API from v1 to v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3689
test: insulate PyPI wheel package tests from other build artifacts by @quic-kyunggeu in https://github.com/quic/aimet/pull/3690
Polish quick start guide by @quic-hitameht in https://github.com/quic/aimet/pull/3691
MMP Misc enhancements by @quic-ykota in https://github.com/quic/aimet/pull/3692
Updated install docs to removed pip version pinning requirement by @quic-bharathr in https://github.com/quic/aimet/pull/3693
Updated version to 2.1.0 by @quic-msarma in https://github.com/quic/aimet/pull/3694
Fixed multiple inputs issue for Seq mse by @quic-alanmaha in https://github.com/quic/aimet/pull/3695
Fix handling for to_custom_tensor by @quic-klhsieh in https://github.com/quic/aimet/pull/3697
Fix wheel file names install by @quic-bharathr in https://github.com/quic/aimet/pull/3699
Docs update for rc2 by @quic-hitameht in https://github.com/quic/aimet/pull/3700
Fixed input encodings export of Concat module by @quic-cgulecha in https://github.com/quic/aimet/pull/3702
Updated model connections dict to work for multi-output tensors for a layer by @quic-ssayanta in https://github.com/quic/aimet/pull/3704
Fix AMP v2 slowdown issue by @quic-akhobare in https://github.com/quic/aimet/pull/3705
Fix AMP v2 slowdown issue due to compute_param_encodings by @quic-seokan in https://github.com/quic/aimet/pull/3706
Optimize GPU min/max reductions by @quic-mtuttle in https://github.com/quic/aimet/pull/3710
Fix type hint of eval_callback in AutoQuant of TensorFlow by @quic-hyeokoo in https://github.com/quic/aimet/pull/3711
Resolve warnings in test_quantizable_lstm_export_encodings by @quic-hyeokoo in https://github.com/quic/aimet/pull/3712
Replace deprecated alias 'np.float' to 'np.float64' in test_qc_quantize_wrapper_keras by @quic-hyeokoo in https://github.com/quic/aimet/pull/3713
Seq Mse : Doc string updated for loss function by @quic-ristha in https://github.com/quic/aimet/pull/3715
Redefine symmetry as offset=-round((qmin + qmax) / 2) by @quic-kyunggeu in https://github.com/quic/aimet/pull/3718
Rename dummy calss not to use test prefix by @quic-hyeokoo in https://github.com/quic/aimet/pull/3717
Add release notes for next release by @quic-hitameht in https://github.com/quic/aimet/pull/3720
Rename aimet_torch wheel file name in docs by @quic-hitameht in https://github.com/quic/aimet/pull/3721
Heading styles. by @dwelsch-esi in https://github.com/quic/aimet/pull/3719
Format code blocks by @dwelsch-esi in https://github.com/quic/aimet/pull/3723
Edit install and landing pages by @dwelsch-esi in https://github.com/quic/aimet/pull/3722
Incorporate feedback for install pages by @quic-hitameht in https://github.com/quic/aimet/pull/3725
Collapse/expand arrows by @dwelsch-esi in https://github.com/quic/aimet/pull/3724
Update adaround_optimizer.py by @NikilXYZ in https://github.com/quic/aimet/pull/3709
Streamline images in AIMET docs by @quic-pdangi in https://github.com/quic/aimet/pull/3727
Fix the documentation tab links in README.md by @quic-hitameht in https://github.com/quic/aimet/pull/3729
Remove duplicate install instructions from README.md by @quic-hitameht in https://github.com/quic/aimet/pull/3732
Always represent zero accurately in v1 histogram by @quic-kyunggeu in https://github.com/quic/aimet/pull/3731
Fix histogram bug in libpymo by @quic-kyunggeu in https://github.com/quic/aimet/pull/3733
Change background to make code listing more legible in dark mode. by @dwelsch-esi in https://github.com/quic/aimet/pull/3738
CI 2.0: Enabled wheel file generation and unit tests by @quic-kyunggeu in https://github.com/quic/aimet/pull/3741
Aimet fastrelease by @quic-jpolizzi in https://github.com/quic/aimet/pull/3737
Use onnx==1.16.2 in GitHub Action PR jobs by @quic-kyunggeu in https://github.com/quic/aimet/pull/3750
Add QuantizedGridSample by @quic-kyunggeu in https://github.com/quic/aimet/pull/3744
Simplify graph from ONNX only export by removing offset calculation nodes by @quic-seokan in https://github.com/quic/aimet/pull/3742
Fix exception rule failure with non-leaf qmodules by @quic-mtuttle in https://github.com/quic/aimet/pull/3748
Fix error message in debugging environment by @quic-kyunggeu in https://github.com/quic/aimet/pull/3751
Fix broken link to documentation by @quic-kyunggeu in https://github.com/quic/aimet/pull/3752
Implement onnx new export using onnx only export artifacts by @quic-seokan in https://github.com/quic/aimet/pull/3753
Edit feature guide > cross-layer equalization. by @dwelsch-esi in https://github.com/quic/aimet/pull/3749
Edit feature guide > batch norm folding. by @dwelsch-esi in https://github.com/quic/aimet/pull/3746
Edit Adaround feature page. by @dwelsch-esi in https://github.com/quic/aimet/pull/3740
Optimize onnx quantsim init data type inference by @quic-mtuttle in https://github.com/quic/aimet/pull/3747
Edit feature guide analysis tool pages. by @dwelsch-esi in https://github.com/quic/aimet/pull/3739
Edit feature guide > sequential MSE by @dwelsch-esi in https://github.com/quic/aimet/pull/3745
Honor torch/tensorflow/onnx versions specified in GitHub Action workflow by @quic-kyunggeu in https://github.com/quic/aimet/pull/3759
Remove invalid deprecation message in aimet_torch.v1 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3756
Treat nullary torch.Tensor.type() as an attribute descriptor by @quic-kyunggeu in https://github.com/quic/aimet/pull/3757
Update aimet_torch QuantizationSimModel API reference by @quic-kyunggeu in https://github.com/quic/aimet/pull/3760
Add additional ops to tie observers by @quic-mtuttle in https://github.com/quic/aimet/pull/3754
Restore aimet-torch-cpu variant in PR job by @quic-kyunggeu in https://github.com/quic/aimet/pull/3761
Remove save/load_checkpoint from v2 quantsim api reference by @quic-kyunggeu in https://github.com/quic/aimet/pull/3762
Throw runtime error if QuantizationSimModel takes untraceable input by @quic-kyunggeu in https://github.com/quic/aimet/pull/3764
Edit batch norm re-estimation in the feature guide. by @dwelsch-esi in https://github.com/quic/aimet/pull/3763
Edit AutoQuant page in feature guide. by @dwelsch-esi in https://github.com/quic/aimet/pull/3758
Fix amp miscellaneous bug by @quic-kyunggeu in https://github.com/quic/aimet/pull/3768
Skip aimet-extra stage in Jenkins PR jobs by @quic-kyunggeu in https://github.com/quic/aimet/pull/3765
Add pylint stage to Github Action PR job by @quic-kyunggeu in https://github.com/quic/aimet/pull/3766
Handle variadic functions properly in error message code examples by @quic-kyunggeu in https://github.com/quic/aimet/pull/3767
Batch unknown module error messages in one exception by @quic-kyunggeu in https://github.com/quic/aimet/pull/3769
Fix exception rules not searching all ops by @quic-kyunggeu in https://github.com/quic/aimet/pull/3772
Upgrade pylint to <3 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3773
Add doc build to GitHub Action PR job by @quic-kyunggeu in https://github.com/quic/aimet/pull/3778
Add libpymo unit tests with pytest by @quic-kyunggeu in https://github.com/quic/aimet/pull/3779
Selectively run PR jobs only on AIMET variants that need testing by @quic-kyunggeu in https://github.com/quic/aimet/pull/3781
Remove excessive graph nodes iteration during ConnectedGraph construction by @quic-kyunggeu in https://github.com/quic/aimet/pull/3780
Enable onnx graph optimizations by @quic-mtuttle in https://github.com/quic/aimet/pull/3782
Make ConnectedGraph Op.output a list of products by @quic-mtuttle in https://github.com/quic/aimet/pull/3784
Matmul channel axis fix for tensors of rank > 2 by @quic-mtuttle in https://github.com/quic/aimet/pull/3785
Add static tensor quantizers into quantizer groups by @quic-mtuttle in https://github.com/quic/aimet/pull/3786
Add C++ unit tests to PR job by @quic-kyunggeu in https://github.com/quic/aimet/pull/3788
Remove to numpy by @quic-kyunggeu in https://github.com/quic/aimet/pull/3770
Remove redundant forward by @quic-kyunggeu in https://github.com/quic/aimet/pull/3771
Minor miscellaneous optimization & refactoring in connected graph by @quic-kyunggeu in https://github.com/quic/aimet/pull/3789
Replace IterFirstX with itertools.islice by @quic-kyunggeu in https://github.com/quic/aimet/pull/3792
Unify replace_* util functions with replace_modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3790
Update v2 quantsim to handle models with child module sharing by @quic-kyunggeu in https://github.com/quic/aimet/pull/3791
Issue add lora v3 utils by @quic-mangal in https://github.com/quic/aimet/pull/3787
Refactor aimet onnx BQ logic to DlQuantization by @quic-mtuttle in https://github.com/quic/aimet/pull/3783
Edit Quantsim pages. by @dwelsch-esi in https://github.com/quic/aimet/pull/3774
Add config files by @quic-klhsieh in https://github.com/quic/aimet/pull/3795
Update quantsim exceptions for V81 by @quic-klhsieh in https://github.com/quic/aimet/pull/3794
Add docs for encoding version 1.0.0 by @quic-klhsieh in https://github.com/quic/aimet/pull/3800
Rewrite User Guide workflow and tool (feature) pages. by @dwelsch-esi in https://github.com/quic/aimet/pull/3796
Unify get_layer_by_name with get_named_module by @quic-kyunggeu in https://github.com/quic/aimet/pull/3793
Fix autograd in-place modification error by @quic-kyunggeu in https://github.com/quic/aimet/pull/3798
Fix infinite recursion error in subclasses of quantized module by @quic-kyunggeu in https://github.com/quic/aimet/pull/3797
Decide minimum scale dynamically based on target dtype by @quic-kyunggeu in https://github.com/quic/aimet/pull/3799
Deduplicate error messages by @quic-kyunggeu in https://github.com/quic/aimet/pull/3803
Fix MatMul exception rule in aimet_onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3801
Disable intermediate output quantizer in MatMul Add by @quic-mtuttle in https://github.com/quic/aimet/pull/3805
Quantize scalar activations in aimet_torch.v1 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3806
Removed opdef parser and dependencies by @quic-cgulecha in https://github.com/quic/aimet/pull/3775
Add QW-LoRa and QWA-LoRa to docs by @quic-ashvkuma in https://github.com/quic/aimet/pull/3810
Add DS_Store files to .gitignore by @quic-ashvkuma in https://github.com/quic/aimet/pull/3809
Avoid multiple instances of same quantizer group by @quic-rgite in https://github.com/quic/aimet/pull/3808
Replace pypi release workflow using pyproject.toml file by @quic-hitameht in https://github.com/quic/aimet/pull/3812
Add torch==2.1.2 as extra dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3811
Update supergroups and norm layer naming in configs by @quic-mtuttle in https://github.com/quic/aimet/pull/3813
Specify onnxruntime as primary build-time dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3817
Resolve pylint warnings in torch==2.6 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3816
Fix Adaround caching bug in torch>=2.5 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3819
Work around spconv bug in latest pytorch by @quic-kyunggeu in https://github.com/quic/aimet/pull/3818
Expose BatchNormFold as public API by @quic-kyunggeu in https://github.com/quic/aimet/pull/3802
Replace get_named_module with nn.Module.get_submodule by @quic-kyunggeu in https://github.com/quic/aimet/pull/3821
Enable adaptive attention mask for LLMs by @quic-bozhxu in https://github.com/quic/aimet/pull/3814
Implement BQ wrapper for encoding analyzers by @quic-mtuttle in https://github.com/quic/aimet/pull/3804
Enable load encodings for 1.0.0 aimet_onnx by @quic-klhsieh in https://github.com/quic/aimet/pull/3822
Fix onnxruntime version in reqs.txt file by @quic-hitameht in https://github.com/quic/aimet/pull/3823
Enable input quantizers that take external scalar parameter as input by @quic-kyunggeu in https://github.com/quic/aimet/pull/3824
Fix sim.onnx.export bug in per-channel quantization by @quic-kyunggeu in https://github.com/quic/aimet/pull/3825
Make encoding 1.0.0 default by @quic-klhsieh in https://github.com/quic/aimet/pull/3827
BREAKING_CHANGE: Use per-channel quantization by default by @quic-kyunggeu in https://github.com/quic/aimet/pull/3826
Enable tests with cuda markers by @quic-hitameht in https://github.com/quic/aimet/pull/3828
Fix acceptance test failures by @quic-kyunggeu in https://github.com/quic/aimet/pull/3829
Fix aimet-onnx test dependency collision by @quic-kyunggeu in https://github.com/quic/aimet/pull/3830
Fix some more acceptance tests failures by @quic-hitameht in https://github.com/quic/aimet/pull/3831
Make QuantizedEmbedding's output inherit weight encodings by @quic-kyunggeu in https://github.com/quic/aimet/pull/3834
Infer symmetry from offset in sim.onnx.export by @quic-kyunggeu in https://github.com/quic/aimet/pull/3833
Implement new encoding schema prototype by @quic-kyunggeu in https://github.com/quic/aimet/pull/3832
Resolve pylint warning by @quic-kyunggeu in https://github.com/quic/aimet/pull/3835
Add nightly pipeline using reusable workflow by @quic-hitameht in https://github.com/quic/aimet/pull/3837
Implement new LPBQ encoding JSON schema by @quic-kyunggeu in https://github.com/quic/aimet/pull/3839
Add fast-release requirements.txt for onnx-cpu variant by @quic-kyunggeu in https://github.com/quic/aimet/pull/3836
Move config files by @quic-klhsieh in https://github.com/quic/aimet/pull/3840
Bug fix: Use correct method to find QGs in AMP Phase-3 by @quic-ykota in https://github.com/quic/aimet/pull/3842
MMP: Remove hardcodings, query from config instead by @quic-ykota in https://github.com/quic/aimet/pull/3844
Expose interface to find all batch norms to fold by @quic-ykota in https://github.com/quic/aimet/pull/3843
Export bias encodings in sim.onnx.export by @quic-kyunggeu in https://github.com/quic/aimet/pull/3846
Implement new encoding schema prototype in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3845
Implement LPBQ encoding schema 2.0.0 (beta) in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3847
Allow nightly workflow to run manually from actions tab by @quic-hitameht in https://github.com/quic/aimet/pull/3848
Redefine LPBQ output_dtype of 2.0.0 encoding schema by @quic-kyunggeu in https://github.com/quic/aimet/pull/3849
Remove root logger config by @quic-kyunggeu in https://github.com/quic/aimet/pull/3852
Updated version to 2.2.0 by @quic-bharathr in https://github.com/quic/aimet/pull/3850
Enable PR and post-merge jobs for release branches by @quic-hitameht in https://github.com/quic/aimet/pull/3851
Implement C++ Blockwise Tensor Quantizer by @quic-mtuttle in https://github.com/quic/aimet/pull/3853
LPBQ refactoring by @quic-kyunggeu in https://github.com/quic/aimet/pull/3841
Move _encoding_shape util function to QcQuantizeOp by @quic-kyunggeu in https://github.com/quic/aimet/pull/3854
Derive LPBQ bias encodings from per-channel weight scale by @quic-kyunggeu in https://github.com/quic/aimet/pull/3855
Allow not defining quantized definition of trivial modules by @quic-kyunggeu in https://github.com/quic/aimet/pull/3856
Fix bug in create_rand_tensors_given_shapes by @quic-kyunggeu in https://github.com/quic/aimet/pull/3857
Remove nested_map by @quic-kyunggeu in https://github.com/quic/aimet/pull/3858
Remove get_propagated_encoding_dict by @quic-kyunggeu in https://github.com/quic/aimet/pull/3859
Remove get_input_shape_batch_size by @quic-kyunggeu in https://github.com/quic/aimet/pull/3860
Move v1-specific util function to v1.utils by @quic-kyunggeu in https://github.com/quic/aimet/pull/3861
Move winnow util function to winnow_utils.py by @quic-kyunggeu in https://github.com/quic/aimet/pull/3862
Use blockwise quantizer in aimet onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3863
Add additional information in pyproject.toml by @quic-hitameht in https://github.com/quic/aimet/pull/3864
Add pip index in cmake args by @quic-hitameht in https://github.com/quic/aimet/pull/3866
Remove unnecessary dependencies by @quic-kyunggeu in https://github.com/quic/aimet/pull/3865
Use standard onnx operator names in quantsim config file by @quic-kyunggeu in https://github.com/quic/aimet/pull/3867
Clean up aimet-onnx adaround activation sampler unit test by @quic-kyunggeu in https://github.com/quic/aimet/pull/3868
Implement int32 bias encoding export mechanism in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3870
BREAKING_CHANGE: Use min-max as default quant scheme in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3869
Add readme in pyproject.toml, do not ignore in .dockerignore by @quic-hitameht in https://github.com/quic/aimet/pull/3873
Add support for quantsim configs with encoding constraints by @quic-gsaichai in https://github.com/quic/aimet/pull/3872
QW-lora + QWA-lora example update by @quic-ashvkuma in https://github.com/quic/aimet/pull/3874
Skip unit test for documentation-only PRs by @quic-kyunggeu in https://github.com/quic/aimet/pull/3875
Add release notes for 2.1.0 release by @quic-hitameht in https://github.com/quic/aimet/pull/3879
Introducing GraphPasses to disable quantizers for sub-graph by @quic-bhushans in https://github.com/quic/aimet/pull/3876
add copyright for graph registry by @quic-bhushans in https://github.com/quic/aimet/pull/3886
Improve apply_requant_mask by @quic-bozhxu in https://github.com/quic/aimet/pull/3880
Define quantsim config file aliases by @quic-kyunggeu in https://github.com/quic/aimet/pull/3881
Remove MPP-specific util functions by @quic-kyunggeu in https://github.com/quic/aimet/pull/3885
Add glibc version check for v1 import by @quic-kyunggeu in https://github.com/quic/aimet/pull/3883
Revive affine.Dequantize class by @quic-kyunggeu in https://github.com/quic/aimet/pull/3887
Fix loading fp16 encodings in aimet-onnx by @quic-mtuttle in https://github.com/quic/aimet/pull/3888
Fix aimet-onnx bug in 1.0.0 export for fp16 encodings by @quic-mtuttle in https://github.com/quic/aimet/pull/3891
Use CPU when getting act shapes in AMP to avoid OOM by @quic-mtuttle in https://github.com/quic/aimet/pull/3892
Issue with quantizer group creation by @quic-ssayanta in https://github.com/quic/aimet/pull/3890
Fix onnx AMP changing bitwidths of frozen quantizers by @quic-mtuttle in https://github.com/quic/aimet/pull/3893
Clean up unused metadata from onnx model exported by sim.onnx.export by @quic-kyunggeu in https://github.com/quic/aimet/pull/3894
Autoquant adaround encodings bugfix by @quic-klhsieh in https://github.com/quic/aimet/pull/3895
Restrict aimet_onnx AutoQuant to encoding version 0.6.1 by @quic-klhsieh in https://github.com/quic/aimet/pull/3896
aimet_torch omniquant frameworks. by @quic-muchhsu in https://github.com/quic/aimet/pull/3897
Keras compute loss api update by @quic-klhsieh in https://github.com/quic/aimet/pull/3884
[hotfix] remove direct dependency from aimet-torch pypi package by @quic-kyunggeu in https://github.com/quic/aimet/pull/3899
Implement parameter quantizer folding mechanism by @quic-kyunggeu in https://github.com/quic/aimet/pull/3900
Let bias encoding follow the granularity of weight encoding by @quic-kyunggeu in https://github.com/quic/aimet/pull/3901
Fix the tag for aimet-torch whl file by @quic-hitameht in https://github.com/quic/aimet/pull/3904
Optimize v2 histogram by @quic-kyunggeu in https://github.com/quic/aimet/pull/3907
Decrease minimum scale of int4-16 to float32.eps by @quic-kyunggeu in https://github.com/quic/aimet/pull/3908
Add get block input output caching to omniquant. by @quic-muchhsu in https://github.com/quic/aimet/pull/3911
Adding RMSNormalization supergroup pass by @quic-bhushans in https://github.com/quic/aimet/pull/3906
Replace index select with vectorized elementwise kernel by @quic-kyunggeu in https://github.com/quic/aimet/pull/3912
Update seq_mse candidate logic by @quic-klhsieh in https://github.com/quic/aimet/pull/3910
Add common/test to github action unit test by @quic-kyunggeu in https://github.com/quic/aimet/pull/3905
Fix minor bug in v2 util by @quic-kyunggeu in https://github.com/quic/aimet/pull/3914
Vecotorize sequential MSE blockwise loss calculation of nn.Linear by @quic-kyunggeu in https://github.com/quic/aimet/pull/3913
Add min_max quant scheme as a new name of tf by @quic-kyunggeu in https://github.com/quic/aimet/pull/3915
Add v1-style TfEnhancedEncodingAnalyzer in aimet_torch.v2 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3916
Fix tie_quantizers propagating encodings to all inputs of Gather by @quic-mtuttle in https://github.com/quic/aimet/pull/3918
update_encoding_spec by @quic-klhsieh in https://github.com/quic/aimet/pull/3919
Add Omniquant LET modules. by @quic-muchhsu in https://github.com/quic/aimet/pull/3920
Re-tag aimet-torch wheel by @quic-hitameht in https://github.com/quic/aimet/pull/3921
Add init.py in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3922
Make sim.onnx.export capable of exporting LPBQ encodings by @quic-kyunggeu in https://github.com/quic/aimet/pull/3917
Export large models with all_tensors_to_one_file by @quic-mtuttle in https://github.com/quic/aimet/pull/3924
Blockwise let training for Omniquant by @quic-muchhsu in https://github.com/quic/aimet/pull/3927
Release notes 2.2 by @quic-hitameht in https://github.com/quic/aimet/pull/3929
Upgrade to onnxruntime 1.19 + cuda 12 by @quic-mtuttle in https://github.com/quic/aimet/pull/3930
Implement onnx QDQ graph export prototype in aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3934
Soft-deprecate AutoQuant from aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3925
Upgrade onnxruntime, cuda in remaining workflows by @quic-hitameht in https://github.com/quic/aimet/pull/3935
Integrate LET module to omniquant optimizer pipeline. by @quic-muchhsu in https://github.com/quic/aimet/pull/3936
Optimize aimet onnx export logic by @quic-mtuttle in https://github.com/quic/aimet/pull/3942
Update version to 2.3.0 by @quic-hitameht in https://github.com/quic/aimet/pull/3944
Dump omniquant metadata by @quic-muchhsu in https://github.com/quic/aimet/pull/3943
Optimize aimet onnx export further by @quic-mtuttle in https://github.com/quic/aimet/pull/3945
Delete blosc dependency by @quic-bhushans in https://github.com/quic/aimet/pull/3947
Pin deepspeed version temporarily by @quic-hitameht in https://github.com/quic/aimet/pull/3949
Ignore ReLU6 in cross-layer equalization by @quic-kyunggeu in https://github.com/quic/aimet/pull/3939
Prevent Sequential MSE from optimizing the same module multiple times by @quic-klhsieh in https://github.com/quic/aimet/pull/3951
Blockwise sampler by @quic-ashvkuma in https://github.com/quic/aimet/pull/3946
Remove spconv from aimet-onnx test dependency by @quic-kyunggeu in https://github.com/quic/aimet/pull/3953
Make CallbackFunc callable by @quic-kyunggeu in https://github.com/quic/aimet/pull/3956
Update deprecated encoding version warning message by @quic-kyunggeu in https://github.com/quic/aimet/pull/3938
Parametrize TARGETPLATFORM to support linux/arm64 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3954
Extend compute_encodings API of aimet-onnx by @quic-kyunggeu in https://github.com/quic/aimet/pull/3955
Update CLS relu6 deprecation warning message by @quic-kyunggeu in https://github.com/quic/aimet/pull/3958
Fix tf onnx API rendering in docs by @quic-hitameht in https://github.com/quic/aimet/pull/3957
Github action to sync internal repo to public by @quic-bhushans in https://github.com/quic/aimet/pull/3959
Re tag aimet torch whls platform indepedent by @quic-hitameht in https://github.com/quic/aimet/pull/3961
Amp quantizer groups update by @quic-klhsieh in https://github.com/quic/aimet/pull/3962
Fix errors in deepspeed>=0.16.5 by @quic-kyunggeu in https://github.com/quic/aimet/pull/3963

New Contributors

@quic-ipendse made their first contribution in https://github.com/quic/aimet/pull/3113
@dwelsch-esi made their first contribution in https://github.com/quic/aimet/pull/3348
@jinhyeokparknota made their first contribution in https://github.com/quic/aimet/pull/3400
@quic-twilkens made their first contribution in https://github.com/quic/aimet/pull/3405
@emmanuel-ferdman made their first contribution in https://github.com/quic/aimet/pull/3391
@quic-msarma made their first contribution in https://github.com/quic/aimet/pull/3533
@quic-hyeokoo made their first contribution in https://github.com/quic/aimet/pull/3711
@NikilXYZ made their first contribution in https://github.com/quic/aimet/pull/3709
@quic-bozhxu made their first contribution in https://github.com/quic/aimet/pull/3814
@quic-bhushans made their first contribution in https://github.com/quic/aimet/pull/3876

Full Changelog: https://github.com/quic/aimet/compare/1.33.0...2.13.0

Source: README.md, updated 2025-08-25

AIMET Files

AIMET is a library that provides advanced quantization and compression

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AIMET Files

AIMET is a library that provides advanced quantization and compression

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What's Changed

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