lysandre HF staff TimeRobber commited on
Commit
48b89e1
1 Parent(s): 64ca365

Propose a question for fast distributed framework (#27)

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- Propose a question for fast distributed framework (ea0b67933658cdcc16807dd6ac0877909c2b6c02)
- Update app.py (1c9f9bafaf54880d88b9c4996316a43893edbd56)
- Use real values so that the answer is an actual value (69e6c574c14aee05ee51d8883699e75dedca8f60)
- Update app.py (12ac04b43efee8de85d619f5df24142e33603241)


Co-authored-by: Thomas Wang <TimeRobber@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +11 -1
app.py CHANGED
@@ -115,6 +115,16 @@ For some resources, you may want to check out:
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  * <a href="https://huggingface.co/docs/simulate/main/en/tutorials/running_the_simulation#running-the-simulation" simulation stepping <a> for running the simulation.
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  """
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  internships = {
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  'Accelerate': default_question,
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  'Skops & Scikit-Learn': skops_question,
@@ -134,7 +144,7 @@ internships = {
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  "Benchmarking transformers on various AI hardware accelerators": default_question,
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  "AI Art Tooling Residency": default_question,
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  "Datasets for Large Language Models": default_question,
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- "Fast Distributed Training Framework": default_question,
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  }
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  * <a href="https://huggingface.co/docs/simulate/main/en/tutorials/running_the_simulation#running-the-simulation" simulation stepping <a> for running the simulation.
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  """
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+ fast_distributed_framework_question = """
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+ We are going to understand how many operations does a matrix multiplication hold.
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+ <br/>
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+ <br/>
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+ Let N=128, M=256, K=64
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+ Let A,B two matrices of size 256x64 and 128x64 respectively. When computing the matrix multiplication of A and (B^T), how many scalar multiplications are done? How many scalar additions are done? Please answer in the following format:
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+ multiplications: {YOUR_ANSWER_AS_A_SINGLE_NUMBER}
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+ additions: {YOUR_ANSWER_AS_A_SINGLE_NUMBER}
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+ """
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+
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  internships = {
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  'Accelerate': default_question,
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  'Skops & Scikit-Learn': skops_question,
 
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  "Benchmarking transformers on various AI hardware accelerators": default_question,
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  "AI Art Tooling Residency": default_question,
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  "Datasets for Large Language Models": default_question,
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+ "Fast Distributed Training Framework": fast_distributed_framework_question,
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  }
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