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| import gradio as gr | |
| def calculate_effective_batch_size(ctx_len, num_gpus, bsz, accum): | |
| eff_bsz_tokens = ctx_len * num_gpus * bsz * accum | |
| return "{:,}".format(eff_bsz_tokens) # Format with commas for readability | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## Effective Batch Size Calculator") | |
| with gr.Row(): | |
| ctx_len = gr.Number(label="Context Length", value=16000) | |
| num_gpus = gr.Number(label="Number of GPUs", value=2) | |
| bsz = gr.Number(label="Batch Size", value=2) | |
| accum = gr.Number(label="Gradient Accumulation Steps", value=32) | |
| output = gr.Textbox(label="Effective Batch Size in Tokens") # Changed to Textbox for formatted output | |
| btn = gr.Button("Calculate") | |
| btn.click( | |
| fn=calculate_effective_batch_size, | |
| inputs=[ctx_len, num_gpus, bsz, accum], | |
| outputs=output | |
| ) | |
| demo.launch() |