diff --git a/megatron/core/optimizer/emerging_optimizers.py b/megatron/core/optimizer/emerging_optimizers.py index 4dfed6199b3..8d3197708ea 100644 --- a/megatron/core/optimizer/emerging_optimizers.py +++ b/megatron/core/optimizer/emerging_optimizers.py @@ -363,6 +363,8 @@ def __init__( pg_collection=pg_collection, tp_mode=tp_mode, ) + self.scale_mode = scale_mode + self.extra_scale_factor = extra_scale_factor self.moment2_method = moment2_method for group in self.param_groups: diff --git a/megatron/core/optimizer/optimizer_config.py b/megatron/core/optimizer/optimizer_config.py index cc9da11e3e3..35bf1e3ceaf 100644 --- a/megatron/core/optimizer/optimizer_config.py +++ b/megatron/core/optimizer/optimizer_config.py @@ -299,9 +299,6 @@ class OptimizerConfig: soap_shampoo_beta: float = 0.95 """The beta parameter for the Shampoo preconditioner.""" - soap_precondition_frequency: int = 1 - """The frequency of the Shampoo preconditioner.""" - soap_use_kl_shampoo: bool = True """Whether to use the KL-Shampoo preconditioner.""" diff --git a/pyproject.toml b/pyproject.toml index 2fb61c6f36c..129f0879fe2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -198,7 +198,7 @@ flash_mla = [ ] transformer-engine = { git = "https://github.com/NVIDIA/TransformerEngine.git", rev = "f031cf87bd054c7558b887df7bed93975456667f" } nemo-run = { git = "https://github.com/NVIDIA-NeMo/Run.git", rev = "17ae86b64d7f75653351664f5d8c9e466faede00" } -emerging_optimizers = { git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git", rev = "v0.2.0" } +emerging_optimizers = { git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git", rev = "v0.3.0" } fast-hadamard-transform = { git = "https://github.com/Dao-AILab/fast-hadamard-transform.git", rev = "f134af63deb2df17e1171a9ec1ea4a7d8604d5ca" } nvidia-resiliency-ext = { git = "https://github.com/NVIDIA/nvidia-resiliency-ext.git", rev = "15a851565a4ce846c04431ecb0cf09903ab4837e" } diff --git a/tests/unit_tests/test_emerging_optimizers.py b/tests/unit_tests/test_emerging_optimizers.py index e3b9f666fb2..7f0aed21329 100644 --- a/tests/unit_tests/test_emerging_optimizers.py +++ b/tests/unit_tests/test_emerging_optimizers.py @@ -1320,12 +1320,7 @@ def test_soap_optimizer_smoke(): model.weight.data.fill_(1.0) optimizer = SOAP( - params=[model.weight], - lr=0.01, - betas=(0.9, 0.999), - shampoo_beta=0.95, - weight_decay=0.01, - precondition_frequency=1, + params=[model.weight], lr=0.01, betas=(0.9, 0.999), shampoo_beta=0.95, weight_decay=0.01 ) # Test basic properties @@ -1373,12 +1368,7 @@ def test_soap_optimizer_multiple_steps(): model.weight.data.fill_(1.0) optimizer = SOAP( - params=[model.weight], - lr=0.01, - betas=(0.9, 0.999), - shampoo_beta=0.95, - weight_decay=0.01, - precondition_frequency=1, + params=[model.weight], lr=0.01, betas=(0.9, 0.999), shampoo_beta=0.95, weight_decay=0.01 ) weights_history = [model.weight.data.clone()] @@ -1400,36 +1390,6 @@ def test_soap_optimizer_multiple_steps(): ), f"Weight should change at step {i}" -@skip_no_soap -@pytest.mark.parametrize("precondition_frequency", [1, 5, 10]) -def test_soap_optimizer_precondition_frequency(precondition_frequency): - """Test SOAP optimizer with different precondition frequencies.""" - - model = torch.nn.Linear(60, 30, bias=False, dtype=torch.float32, device='cuda') - model.requires_grad_(True) - model.weight.data.fill_(1.0) - - optimizer = SOAP( - params=[model.weight], - lr=0.01, - betas=(0.9, 0.999), - shampoo_beta=0.95, - precondition_frequency=precondition_frequency, - ) - - input_tensor = torch.randn(16, 60, dtype=torch.float32, device='cuda') - output = model(input_tensor) - loss = output.sum() - loss.backward() - - original_weight = model.weight.data.clone() - optimizer.step() - - assert not torch.equal( - model.weight.data, original_weight - ), f"Weight should be updated with precondition_frequency={precondition_frequency}" - - @skip_no_soap @pytest.mark.parametrize("use_kl_shampoo", [True, False]) def test_soap_optimizer_kl_shampoo(use_kl_shampoo): @@ -1445,7 +1405,6 @@ def test_soap_optimizer_kl_shampoo(use_kl_shampoo): betas=(0.9, 0.999), shampoo_beta=0.95, use_kl_shampoo=use_kl_shampoo, - precondition_frequency=1, ) input_tensor = torch.randn(16, 60, dtype=torch.float32, device='cuda') @@ -1470,13 +1429,7 @@ def test_soap_optimizer_shampoo_beta(shampoo_beta): model.requires_grad_(True) model.weight.data.fill_(1.0) - optimizer = SOAP( - params=[model.weight], - lr=0.01, - betas=(0.9, 0.999), - shampoo_beta=shampoo_beta, - precondition_frequency=1, - ) + optimizer = SOAP(params=[model.weight], lr=0.01, betas=(0.9, 0.999), shampoo_beta=shampoo_beta) input_tensor = torch.randn(16, 60, dtype=torch.float32, device='cuda') output = model(input_tensor) @@ -1527,7 +1480,6 @@ def test_get_megatron_optimizer_soap_smoke(self): bf16=True, use_distributed_optimizer=False, soap_shampoo_beta=0.95, - soap_precondition_frequency=1, soap_use_kl_shampoo=True, ) diff --git a/uv.lock b/uv.lock index a2628601c01..062d09d4217 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.14' and platform_machine != 's390x' and sys_platform == 'win32' and extra != 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts'", @@ -305,7 +305,7 @@ version = "1.4.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "frozenlist" }, - { name = "typing-extensions", marker = "python_full_version < '3.13' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/61/62/06741b579156360248d1ec624842ad0edf697050bbaf7c3e46394e106ad1/aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7", size = 25007, upload-time = "2025-07-03T22:54:43.528Z" } wheels = [ @@ -359,10 +359,10 @@ name = "anyio" version = "4.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "exceptiongroup", marker = "python_full_version < '3.11' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, { name = "idna" }, { name = "sniffio" }, - { name = "typing-extensions", marker = "python_full_version < '3.13' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" } wheels = [ @@ -797,7 +797,7 @@ name = "cffi" version = "2.0.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "pycparser", marker = "implementation_name != 'PyPy' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "pycparser", marker = "implementation_name != 'PyPy'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" } wheels = [ @@ -984,7 +984,7 @@ name = "click" version = "8.3.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "sys_platform == 'win32' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/57/75/31212c6bf2503fdf920d87fee5d7a86a2e3bcf444984126f13d8e4016804/click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5", size = 302856, upload-time = "2026-04-03T19:14:45.118Z" } wheels = [ @@ -1153,8 +1153,8 @@ name = "cryptography" version = "46.0.6" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "cffi", marker = "platform_python_implementation != 'PyPy' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, - { name = "typing-extensions", marker = "python_full_version < '3.11' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "cffi", marker = "platform_python_implementation != 'PyPy'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a4/ba/04b1bd4218cbc58dc90ce967106d51582371b898690f3ae0402876cc4f34/cryptography-46.0.6.tar.gz", hash = "sha256:27550628a518c5c6c903d84f637fbecf287f6cb9ced3804838a1295dc1fd0759", size = 750542, upload-time = "2026-03-25T23:34:53.396Z" } wheels = [ @@ -1213,7 +1213,7 @@ name = "cuda-bindings" version = "13.2.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "cuda-pathfinder", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32') or (sys_platform == 'emscripten' and extra == 'extra-13-megatron-core-dev') or (sys_platform == 'emscripten' and extra == 'extra-13-megatron-core-lts') or (sys_platform == 'win32' and extra == 'extra-13-megatron-core-dev') or (sys_platform == 'win32' and extra == 'extra-13-megatron-core-lts')" }, + { name = "cuda-pathfinder" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/1a/fe/7351d7e586a8b4c9f89731bfe4cf0148223e8f9903ff09571f78b3fb0682/cuda_bindings-13.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08b395f79cb89ce0cd8effff07c4a1e20101b873c256a1aeb286e8fd7bd0f556", size = 5744254, upload-time = "2026-03-11T00:12:29.798Z" }, @@ -1266,37 +1266,37 @@ wheels = [ [package.optional-dependencies] cublas = [ - { name = "nvidia-cublas", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cublas", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] cudart = [ - { name = "nvidia-cuda-runtime", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cuda-runtime", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] cufft = [ - { name = "nvidia-cufft", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cufft", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] cufile = [ - { name = "nvidia-cufile", marker = "sys_platform == 'linux' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cufile", marker = "sys_platform == 'linux'" }, ] cupti = [ - { name = "nvidia-cuda-cupti", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cuda-cupti", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] curand = [ - { name = "nvidia-curand", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-curand", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] cusolver = [ - { name = "nvidia-cusolver", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cusolver", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] cusparse = [ - { name = "nvidia-cusparse", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cusparse", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] nvjitlink = [ - { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] nvrtc = [ - { name = "nvidia-cuda-nvrtc", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-cuda-nvrtc", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] nvtx = [ - { name = "nvidia-nvtx", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or (python_full_version >= '3.11' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts') or sys_platform == 'linux' or (sys_platform != 'win32' and extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "nvidia-nvtx", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" }, ] [[package]] @@ -1561,11 +1561,11 @@ wheels = [ [[package]] name = "emerging-optimizers" -version = "0.2.0" -source = { git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git?rev=v0.2.0#1effa026ff096b7fa1063ca2fba19d98be6e6cdf" } +version = "0.3.0" +source = { git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git?rev=v0.3.0#b309e2f01cda75dc96a6dc1a2355a7b3b64b5e16" } dependencies = [ - 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{ name = "emerging-optimizers", marker = "python_full_version >= '3.12'", git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git?rev=v0.2.0" }, + { name = "emerging-optimizers", marker = "python_full_version >= '3.12'", git = "https://github.com/NVIDIA-NeMo/Emerging-Optimizers.git?rev=v0.3.0" }, { name = "fast-hadamard-transform", git = "https://github.com/Dao-AILab/fast-hadamard-transform.git?rev=f134af63deb2df17e1171a9ec1ea4a7d8604d5ca" }, ] test = [ @@ -3655,7 +3655,7 @@ name = "multidict" version = "6.7.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11' or (extra == 'extra-13-megatron-core-dev' and extra == 'extra-13-megatron-core-lts')" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/1a/c2/c2d94cbe6ac1753f3fc980da97b3d930efe1da3af3c9f5125354436c073d/multidict-6.7.1.tar.gz", hash = "sha256:ec6652a1bee61c53a3e5776b6049172c53b6aaba34f18c9ad04f82712bac623d", size = 102010, upload-time = "2026-01-26T02:46:45.979Z" } wheels = [ @@ -4350,7 +4350,7 @@ name = "nvidia-cudnn-cu13" version = "9.19.0.56" source = { registry = "https://pypi.org/simple" } dependencies = [ - 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