Update app.py
Browse files
app.py
CHANGED
@@ -23,6 +23,7 @@ demo = gr.Blocks(
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theme=gr.themes.Default(primary_hue="indigo", secondary_hue="indigo"),
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)
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with demo:
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gr.HTML(LOGO, elem_classes="logo")
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gr.HTML(TITLE, elem_classes="title")
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####################### HARDWARE TABS #######################
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@@ -63,64 +64,64 @@ with demo:
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hardware_type=config.hardware_type,
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)
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####################### LEADERBOARD TAB #######################
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####################### ABOUT TAB #######################
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with gr.TabItem("About π", id=len(configs)):
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@@ -134,6 +135,7 @@ with demo:
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elem_id="citation-button",
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show_copy_button=True,
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)
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if __name__ == "__main__":
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demo.queue().launch(ssr_mode=False)
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theme=gr.themes.Default(primary_hue="indigo", secondary_hue="indigo"),
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)
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with demo:
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print("Building demo")
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gr.HTML(LOGO, elem_classes="logo")
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gr.HTML(TITLE, elem_classes="title")
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####################### HARDWARE TABS #######################
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hardware_type=config.hardware_type,
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)
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####################### LEADERBOARD TAB #######################
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with gr.TabItem("Leaderboard π
", id=0):
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search_bar, columns_checkboxes, leaderboard_table = (
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create_leaderboard_table(open_llm_perf_df)
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)
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with gr.TabItem("Find Your Best Model π§", id=1):
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lat_score_mem_plot = create_lat_score_mem_plot(
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open_llm_perf_df
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)
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##################### ATTENTIONS SPEEDUP TAB #######################
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with gr.TabItem("Attention π", id=2):
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attn_prefill_plot, attn_decode_plot = create_attn_plots(
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open_llm_perf_df
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)
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####################### KERNELS SPEEDUP TAB #######################
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with gr.TabItem("Kernels π", id=4):
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quant_krnl_prefill_plot, quant_krnl_decode_plot = (
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create_quant_krnl_plots(llm_perf_df)
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)
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####################### CONTROL CALLBACK #######################
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create_control_callback(
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filter_button,
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# inputs
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machine_value,
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subsets_value,
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backends_value,
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hardware_type_value,
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score_slider,
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memory_slider,
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backend_checkboxes,
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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kernels_checkboxes,
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# interactive
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columns_checkboxes,
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search_bar,
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# outputs
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leaderboard_table,
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lat_score_mem_plot,
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# attn_prefill_plot,
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# attn_decode_plot,
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# quant_krnl_prefill_plot,
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# quant_krnl_decode_plot,
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)
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create_select_callback(
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# inputs
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machine_value,
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subsets_value,
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backends_value,
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hardware_type_value,
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# interactive
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columns_checkboxes,
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search_bar,
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# outputs
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leaderboard_table,
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)
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####################### ABOUT TAB #######################
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with gr.TabItem("About π", id=len(configs)):
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elem_id="citation-button",
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show_copy_button=True,
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)
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print("Building demo end")
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if __name__ == "__main__":
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demo.queue().launch(ssr_mode=False)
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