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Propose a question for fast distributed framework
#27
by
TimeRobber
- opened
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,
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@@ -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":
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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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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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