Configuation Cleanup#10
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Signed-off-by: Sahil Jain <sahilj@nvidia.com>
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Comments addressed: #3, #5, NVIDIA-NeMo#7, NVIDIA-NeMo#8, NVIDIA-NeMo#9, NVIDIA-NeMo#10, NVIDIA-NeMo#11. - Rename _load_M -> _get_sparse_projection_matrix and _load_dense_projection -> _get_topk_projection (later removed in favor of module-level cache helpers below). - Drop unused alignment_student_spans / alignment_teacher_spans from the cross-tokenizer batch payload. - Remove NRL_XTOKEN_LOSS_DUMP_DIR debug-dump side effect. - Move Fp32SparseMM, chunk_average_log_probs, valid_chunk_mask to a new shared module nemo_rl/algorithms/x_token/utils.py. - Extract projection-file parsing into utils.parse_projection_file; tokenalign.py and loss_functions.py both go through it. - Move per-instance projection-matrix caches to process-local caches in utils.get_sparse_projection_matrix / get_topk_projection. The driver no longer holds large CUDA tensors; each Ray worker fills its own cache on first loss call. Signed-off-by: Adithya Hanasoge <avenkateshha@nvidia.com>
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Comments addressed: #3, #5, NVIDIA-NeMo#7, NVIDIA-NeMo#8, NVIDIA-NeMo#9, NVIDIA-NeMo#10, NVIDIA-NeMo#11. - Rename _load_M -> _get_sparse_projection_matrix and _load_dense_projection -> _get_topk_projection (later removed in favor of module-level cache helpers below). - Drop unused alignment_student_spans / alignment_teacher_spans from the cross-tokenizer batch payload. - Remove NRL_XTOKEN_LOSS_DUMP_DIR debug-dump side effect. - Move Fp32SparseMM, chunk_average_log_probs, valid_chunk_mask to a new shared module nemo_rl/algorithms/x_token/utils.py. - Extract projection-file parsing into utils.parse_projection_file; tokenalign.py and loss_functions.py both go through it. - Move per-instance projection-matrix caches to process-local caches in utils.get_sparse_projection_matrix / get_topk_projection. The driver no longer holds large CUDA tensors; each Ray worker fills its own cache on first loss call. Signed-off-by: Adithya Hanasoge <avenkateshha@nvidia.com>
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Comments addressed: #3, #5, #7, #8, #9, #10, #11. - Rename _load_M -> _get_sparse_projection_matrix and _load_dense_projection -> _get_topk_projection (later removed in favor of module-level cache helpers below). - Drop unused alignment_student_spans / alignment_teacher_spans from the cross-tokenizer batch payload. - Remove NRL_XTOKEN_LOSS_DUMP_DIR debug-dump side effect. - Move Fp32SparseMM, chunk_average_log_probs, valid_chunk_mask to a new shared module nemo_rl/algorithms/x_token/utils.py. - Extract projection-file parsing into utils.parse_projection_file; tokenalign.py and loss_functions.py both go through it. - Move per-instance projection-matrix caches to process-local caches in utils.get_sparse_projection_matrix / get_topk_projection. The driver no longer holds large CUDA tensors; each Ray worker fills its own cache on first loss call. Signed-off-by: Adithya Hanasoge <avenkateshha@nvidia.com>
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Comments addressed: #3, #5, #7, #8, #9, #10, #11. - Rename _load_M -> _get_sparse_projection_matrix and _load_dense_projection -> _get_topk_projection (later removed in favor of module-level cache helpers below). - Drop unused alignment_student_spans / alignment_teacher_spans from the cross-tokenizer batch payload. - Remove NRL_XTOKEN_LOSS_DUMP_DIR debug-dump side effect. - Move Fp32SparseMM, chunk_average_log_probs, valid_chunk_mask to a new shared module nemo_rl/algorithms/x_token/utils.py. - Extract projection-file parsing into utils.parse_projection_file; tokenalign.py and loss_functions.py both go through it. - Move per-instance projection-matrix caches to process-local caches in utils.get_sparse_projection_matrix / get_topk_projection. The driver no longer holds large CUDA tensors; each Ray worker fills its own cache on first loss call. Signed-off-by: Adithya Hanasoge <avenkateshha@nvidia.com>
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What does this PR do ?
Cleaned up configs to provide one 1B example (1GPU) and an 8B example (8GPUs)
also small misc naming changes for clarity