ci: Update gpu runners to use self-hosted-nemo #48

chtruong814 · 2025-11-15T15:22:48Z

ci: Update gpu runners to use self-hosted-nemo

Signed-off-by: Charlie Truong <chtruong@nvidia.com>

…meout in test_mcore_wan_pretrain

abhinavg4

I need to revert my changes

abhinavg4 · 2025-11-15T17:49:17Z

tests/functional_tests/test_mcore_wan_pretrain.py


        # Build the command for the mock run
        cmd = [
+            "uv",


Small request can you add this to L2_Function_Tests_GPU_Wan_Mock_Data.sh please? That way we are using uv at one place only and it's not confusing, I verified that it works too.

abhinavg4

Need to revert My changes before merging

chtruong814 · 2025-11-15T18:16:54Z

tests/functional_tests/test_mcore_wan_pretrain.py

                capture_output=True,
                text=True,
-                timeout=300,  # 5 minute timeout
+                timeout=3000,  # 5 minute timeout


@abhinavg4 why did we need to change this?

…meout in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com>

Signed-off-by: Pablo Garay <pagaray@nvidia.com>

…nto chtruong/runner-update

- Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process.

abhinavg4 · 2025-11-16T02:52:48Z

/ok to tests a209623

abhinavg4 · 2025-11-16T02:53:37Z

\ok to test a209623

abhinavg4 · 2025-11-16T02:55:37Z

/ok to test f2a61c1

abhinavg4

Looks good except the commented code whcih should be uncommented.

* ci: Update gpu runners to use self-hosted-nemo Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Use uv run in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Ensure uv group megatron-bridge is used for test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Revert GHA changes Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Move uv run group call to L2_Mcore_Mock_Tests_GPU Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Set test back to 5 minute timeout Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Megatron fixes (#49) * Enhance DiT and Wan layer specifications - Updated `get_query_key_value_tensors` method in `dit_attention.py` to include an `output_gate` parameter and set `split_qkv` to default to `True`. - Modified `WanLayerWithAdaLN` class in `wan_layer_spec.py` to add `rotary_pos_cos_sin` parameter for improved positional encoding handling. * Implement ProcessGroupCollection initialization in DiT and Wan models - Added initialization of `pg_collection` in both `DiTCrossAttentionModel` and `WanModel` to ensure proper handling of process groups. - This change checks if `pg_collection` exists and is not None before assigning it, enhancing the robustness of the models. * Update CONTRIBUTING.md to include detailed setup instructions for development environment and Docker container usage. Added sections for building and running the container, as well as setting the PYTHONPATH for DFM. * Refactor import statements in dit_model.py to streamline dependencies. Removed redundant import of ProcessGroupCollection, enhancing code clarity and maintainability. * Refactor code style in DiT and Wan models - Updated string quotes in `dit_model.py` and `wan_model.py` for consistency, changing from single to double quotes. - Reformatted the `get_query_key_value_tensors` method call in `dit_attention.py` for improved readability by breaking it into multiple lines. * Revert M4 changes * Ruff * Ruff * Lint --------- Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> * Revert "Revert GHA changes" This reverts commit d7ad1ab. * tempfortest: timeout setting Signed-off-by: Pablo Garay <pagaray@nvidia.com> * workflow dispatch Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update Signed-off-by: Pablo Garay <pagaray@nvidia.com> * add logging Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update test configuration for Mcore WAN pretraining - Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process. * More changes * Lint --------- Signed-off-by: Charlie Truong <chtruong@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com>

* Explicit mcore path override to use Megatron-Bridge's pinned submodule commit Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update Megatron-Bridge submodule to latest main with correct Megatron-LM commit (3cbe5c68) Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Add Mcore WAN pretrain mock test to CI/CD Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Fix slow Docker build from Megatron-LM source Signed-off-by: Pablo Garay <pagaray@nvidia.com> * ci: Update gpu runners to use self-hosted-nemo (#48) * ci: Update gpu runners to use self-hosted-nemo Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Use uv run in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Ensure uv group megatron-bridge is used for test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Revert GHA changes Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Move uv run group call to L2_Mcore_Mock_Tests_GPU Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Set test back to 5 minute timeout Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Megatron fixes (#49) * Enhance DiT and Wan layer specifications - Updated `get_query_key_value_tensors` method in `dit_attention.py` to include an `output_gate` parameter and set `split_qkv` to default to `True`. - Modified `WanLayerWithAdaLN` class in `wan_layer_spec.py` to add `rotary_pos_cos_sin` parameter for improved positional encoding handling. * Implement ProcessGroupCollection initialization in DiT and Wan models - Added initialization of `pg_collection` in both `DiTCrossAttentionModel` and `WanModel` to ensure proper handling of process groups. - This change checks if `pg_collection` exists and is not None before assigning it, enhancing the robustness of the models. * Update CONTRIBUTING.md to include detailed setup instructions for development environment and Docker container usage. Added sections for building and running the container, as well as setting the PYTHONPATH for DFM. * Refactor import statements in dit_model.py to streamline dependencies. Removed redundant import of ProcessGroupCollection, enhancing code clarity and maintainability. * Refactor code style in DiT and Wan models - Updated string quotes in `dit_model.py` and `wan_model.py` for consistency, changing from single to double quotes. - Reformatted the `get_query_key_value_tensors` method call in `dit_attention.py` for improved readability by breaking it into multiple lines. * Revert M4 changes * Ruff * Ruff * Lint --------- Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> * Revert "Revert GHA changes" This reverts commit d7ad1ab. * tempfortest: timeout setting Signed-off-by: Pablo Garay <pagaray@nvidia.com> * workflow dispatch Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update Signed-off-by: Pablo Garay <pagaray@nvidia.com> * add logging Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update test configuration for Mcore WAN pretraining - Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process. * More changes * Lint --------- Signed-off-by: Charlie Truong <chtruong@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Reapply "Revert GHA changes" This reverts commit fdb911f. Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update path per request Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update CONTRIBUTING.md Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * adjustments Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> --------- Signed-off-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu>

* adding tests * ruff lint * ruff lint * ruff lint * Explicit mcore path override to use Megatron-Bridge's pinned submodule commit Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update Megatron-Bridge submodule to latest main with correct Megatron-LM commit (3cbe5c68) Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Add Mcore WAN pretrain mock test to CI/CD Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Fix slow Docker build from Megatron-LM source Signed-off-by: Pablo Garay <pagaray@nvidia.com> * ci: Update gpu runners to use self-hosted-nemo (#48) * ci: Update gpu runners to use self-hosted-nemo Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Use uv run in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Ensure uv group megatron-bridge is used for test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Revert GHA changes Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Move uv run group call to L2_Mcore_Mock_Tests_GPU Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Set test back to 5 minute timeout Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Megatron fixes (#49) * Enhance DiT and Wan layer specifications - Updated `get_query_key_value_tensors` method in `dit_attention.py` to include an `output_gate` parameter and set `split_qkv` to default to `True`. - Modified `WanLayerWithAdaLN` class in `wan_layer_spec.py` to add `rotary_pos_cos_sin` parameter for improved positional encoding handling. * Implement ProcessGroupCollection initialization in DiT and Wan models - Added initialization of `pg_collection` in both `DiTCrossAttentionModel` and `WanModel` to ensure proper handling of process groups. - This change checks if `pg_collection` exists and is not None before assigning it, enhancing the robustness of the models. * Update CONTRIBUTING.md to include detailed setup instructions for development environment and Docker container usage. Added sections for building and running the container, as well as setting the PYTHONPATH for DFM. * Refactor import statements in dit_model.py to streamline dependencies. Removed redundant import of ProcessGroupCollection, enhancing code clarity and maintainability. * Refactor code style in DiT and Wan models - Updated string quotes in `dit_model.py` and `wan_model.py` for consistency, changing from single to double quotes. - Reformatted the `get_query_key_value_tensors` method call in `dit_attention.py` for improved readability by breaking it into multiple lines. * Revert M4 changes * Ruff * Ruff * Lint --------- Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> * Revert "Revert GHA changes" This reverts commit d7ad1ab. * tempfortest: timeout setting Signed-off-by: Pablo Garay <pagaray@nvidia.com> * workflow dispatch Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update Signed-off-by: Pablo Garay <pagaray@nvidia.com> * add logging Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update test configuration for Mcore WAN pretraining - Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process. * More changes * Lint --------- Signed-off-by: Charlie Truong <chtruong@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Reapply "Revert GHA changes" This reverts commit fdb911f. Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update path per request Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update CONTRIBUTING.md Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * adding v run --group megatron-bridge * update test * ruff lint * restore Dockerfile.ci * update .github/workflows/cicd-main.yml --------- Signed-off-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Huy Vu2 <huvu@login-eos02.eos.clusters.nvidia.com> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu>

* adding tests * ruff lint * ruff lint * ruff lint * Explicit mcore path override to use Megatron-Bridge's pinned submodule commit Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update Megatron-Bridge submodule to latest main with correct Megatron-LM commit (3cbe5c68) Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Add Mcore WAN pretrain mock test to CI/CD Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Fix slow Docker build from Megatron-LM source Signed-off-by: Pablo Garay <pagaray@nvidia.com> * ci: Update gpu runners to use self-hosted-nemo (#48) * ci: Update gpu runners to use self-hosted-nemo Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Use uv run in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Ensure uv group megatron-bridge is used for test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain * Update TRANSFORMERS_OFFLINE environment variable to 0 and increase timeout in test_mcore_wan_pretrain Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Revert GHA changes Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Move uv run group call to L2_Mcore_Mock_Tests_GPU Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Set test back to 5 minute timeout Signed-off-by: Charlie Truong <chtruong@nvidia.com> * Megatron fixes (#49) * Enhance DiT and Wan layer specifications - Updated `get_query_key_value_tensors` method in `dit_attention.py` to include an `output_gate` parameter and set `split_qkv` to default to `True`. - Modified `WanLayerWithAdaLN` class in `wan_layer_spec.py` to add `rotary_pos_cos_sin` parameter for improved positional encoding handling. * Implement ProcessGroupCollection initialization in DiT and Wan models - Added initialization of `pg_collection` in both `DiTCrossAttentionModel` and `WanModel` to ensure proper handling of process groups. - This change checks if `pg_collection` exists and is not None before assigning it, enhancing the robustness of the models. * Update CONTRIBUTING.md to include detailed setup instructions for development environment and Docker container usage. Added sections for building and running the container, as well as setting the PYTHONPATH for DFM. * Refactor import statements in dit_model.py to streamline dependencies. Removed redundant import of ProcessGroupCollection, enhancing code clarity and maintainability. * Refactor code style in DiT and Wan models - Updated string quotes in `dit_model.py` and `wan_model.py` for consistency, changing from single to double quotes. - Reformatted the `get_query_key_value_tensors` method call in `dit_attention.py` for improved readability by breaking it into multiple lines. * Revert M4 changes * Ruff * Ruff * Lint --------- Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> * Revert "Revert GHA changes" This reverts commit d7ad1ab. * tempfortest: timeout setting Signed-off-by: Pablo Garay <pagaray@nvidia.com> * workflow dispatch Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update Signed-off-by: Pablo Garay <pagaray@nvidia.com> * add logging Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Update test configuration for Mcore WAN pretraining - Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process. * More changes * Lint --------- Signed-off-by: Charlie Truong <chtruong@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Pablo Garay <pagaray@nvidia.com> * Reapply "Revert GHA changes" This reverts commit fdb911f. Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update path per request Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * update CONTRIBUTING.md Signed-off-by: Pablo Garay <pagaray@nvidia.com> * lintfix Signed-off-by: Pablo Garay <pagaray@nvidia.com> * adding v run --group megatron-bridge * update test * ruff lint * restore Dockerfile.ci * update .github/workflows/cicd-main.yml --------- Signed-off-by: Pablo Garay <pagaray@nvidia.com> Signed-off-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Huy Vu2 <huvu@login-eos02.eos.clusters.nvidia.com> Co-authored-by: Pablo Garay <pagaray@nvidia.com> Co-authored-by: Charlie Truong <chtruong@nvidia.com> Co-authored-by: Abhinav Garg <abhinavg@stanford.edu> Signed-off-by: Lawrence Lane <llane@nvidia.com>

ci: Update gpu runners to use self-hosted-nemo

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Use uv run in test_mcore_wan_pretrain

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Ensure uv group megatron-bridge is used for test_mcore_wan_pretrain

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Update TRANSFORMERS_OFFLINE environment variable to 0 and increase ti…

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Update TRANSFORMERS_OFFLINE environment variable to 0 and increase ti…

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update

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abhinavg4 added 3 commits November 16, 2025 02:11

Merge branch 'chtruong/runner-update' of github.com:NVIDIA-NeMo/DFM i…

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…nto chtruong/runner-update

Update test configuration for Mcore WAN pretraining

a5d4e44

- Increased the number of processes per node from 1 to 2 for distributed training. - Set the number of training iterations to 10 to enhance the training process.

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ci: Update gpu runners to use self-hosted-nemo #48

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