Spaces:
Running
Running
Commit
β’
4f5bf6c
1
Parent(s):
5345cba
update
Browse files- app.py +2 -0
- src/assets.py +3 -0
- src/map.py +2 -1
- src/panel.py +30 -3
- src/utils.py +1 -1
app.py
CHANGED
@@ -40,6 +40,7 @@ with demo:
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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) = create_control_panel(machine=machine)
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####################### HARDWARE SUBTABS #######################
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with gr.Tabs(elem_classes="subtabs"):
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@@ -73,6 +74,7 @@ with demo:
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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# interactive
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columns_checkboxes,
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search_bar,
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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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) = create_control_panel(machine=machine)
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####################### HARDWARE SUBTABS #######################
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with gr.Tabs(elem_classes="subtabs"):
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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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src/assets.py
CHANGED
@@ -48,6 +48,9 @@ custom_css = """
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#quantization-checkboxes span {
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font-size: 16px !important;
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}
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#leaderboard-table td:first-child,
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#leaderboard-table th:first-child {
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#quantization-checkboxes span {
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font-size: 16px !important;
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}
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#kernel-checkboxes span {
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font-size: 16px !important;
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}
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#leaderboard-table td:first-child,
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#leaderboard-table th:first-child {
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src/map.py
CHANGED
@@ -54,7 +54,7 @@ def get_lat_score_mem_fig(llm_perf_df):
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height=600,
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)
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# update x range with 95 percentile of
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-
fig.update_xaxes(range=[0, copy_df["End-to-End (s)"].quantile(0.
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return fig
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@@ -62,6 +62,7 @@ def get_lat_score_mem_fig(llm_perf_df):
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def create_lat_score_mem_plot(llm_perf_df):
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# descriptive text
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gr.HTML("π Hover over the points π for additional information. ", elem_id="text")
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# get figure
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fig = get_lat_score_mem_fig(llm_perf_df)
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# create plot
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height=600,
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)
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# update x range with 95 percentile of
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fig.update_xaxes(range=[-0.5, copy_df["End-to-End (s)"].quantile(0.90)])
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return fig
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def create_lat_score_mem_plot(llm_perf_df):
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# descriptive text
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gr.HTML("π Hover over the points π for additional information. ", elem_id="text")
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gr.HTML("π We only show the top 90% LLMs based on latency β", elem_id="text")
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# get figure
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fig = get_lat_score_mem_fig(llm_perf_df)
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# create plot
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src/panel.py
CHANGED
@@ -13,14 +13,14 @@ def create_control_panel(machine: str):
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machine_textbox = gr.Textbox(value=machine, visible=False)
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with gr.Accordion("Control Panel ποΈ", open=False, elem_id="control-panel"):
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with gr.Row():
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with gr.Column(scale=
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score_slider = gr.Slider(
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label="Open LLM Score (%) π",
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info="ποΈ Slide to minimum Open LLM score",
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value=0,
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elem_id="threshold-slider",
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)
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-
with gr.Column(scale=
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memory_slider = gr.Slider(
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label="Peak Memory (MB) π",
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info="ποΈ Slide to maximum Peak Memory",
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@@ -54,7 +54,8 @@ def create_control_panel(machine: str):
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info="βοΈ Select the optimization",
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elem_id="optimization-checkboxes",
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)
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-
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quantization_checkboxes = gr.CheckboxGroup(
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label="Quantizations ποΈ",
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choices=[
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@@ -75,6 +76,27 @@ def create_control_panel(machine: str):
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elem_id="quantization-checkboxes",
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elem_classes="boxed-option",
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)
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with gr.Row():
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filter_button = gr.Button(
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value="Filter π",
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@@ -91,6 +113,7 @@ def create_control_panel(machine: str):
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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)
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@@ -103,6 +126,7 @@ def filter_rows_fn(
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precisions,
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attentions,
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quantizations,
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# interactive
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columns,
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search,
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@@ -116,6 +140,7 @@ def filter_rows_fn(
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& llm_perf_df["Precision π₯"].isin(precisions)
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& llm_perf_df["Attention ποΈ"].isin(attentions)
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& llm_perf_df["Quantization ποΈ"].isin(quantizations)
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& (llm_perf_df["Open LLM Score (%)"] >= score)
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& (llm_perf_df["Memory (MB)"] <= memory)
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]
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@@ -154,6 +179,7 @@ def create_control_callback(
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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# interactive
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columns_checkboxes,
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search_bar,
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@@ -179,6 +205,7 @@ def create_control_callback(
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datatype_checkboxes,
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optimization_checkboxes,
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quantization_checkboxes,
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# interactive
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columns_checkboxes,
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search_bar,
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machine_textbox = gr.Textbox(value=machine, visible=False)
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with gr.Accordion("Control Panel ποΈ", open=False, elem_id="control-panel"):
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with gr.Row():
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with gr.Column(scale=2, variant="panel"):
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score_slider = gr.Slider(
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label="Open LLM Score (%) π",
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info="ποΈ Slide to minimum Open LLM score",
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value=0,
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elem_id="threshold-slider",
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)
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with gr.Column(scale=2, variant="panel"):
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memory_slider = gr.Slider(
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label="Peak Memory (MB) π",
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info="ποΈ Slide to maximum Peak Memory",
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info="βοΈ Select the optimization",
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elem_id="optimization-checkboxes",
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)
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with gr.Row():
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with gr.Column(scale=1, variant="panel"):
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quantization_checkboxes = gr.CheckboxGroup(
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label="Quantizations ποΈ",
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choices=[
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elem_id="quantization-checkboxes",
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elem_classes="boxed-option",
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)
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with gr.Column(scale=1, variant="panel"):
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kernels_checkboxes = gr.CheckboxGroup(
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label="Kernels βοΈ",
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choices=[
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"No Kernel",
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"GPTQ.ExllamaV1",
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"GPTQ.ExllamaV2",
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"AWQ.GEMM",
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"AWQ.GEMV",
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],
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value=[
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"No Kernel",
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"GPTQ.ExllamaV1",
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"GPTQ.ExllamaV2",
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"AWQ.GEMM",
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"AWQ.GEMV",
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],
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info="βοΈ Select the custom kernels",
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elem_id="kernel-checkboxes",
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elem_classes="boxed-option",
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)
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with gr.Row():
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filter_button = gr.Button(
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value="Filter π",
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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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)
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precisions,
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attentions,
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quantizations,
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+
kernels,
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# interactive
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columns,
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search,
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& llm_perf_df["Precision π₯"].isin(precisions)
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& llm_perf_df["Attention ποΈ"].isin(attentions)
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& llm_perf_df["Quantization ποΈ"].isin(quantizations)
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& llm_perf_df["Kernel βοΈ"].isin(kernels)
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& (llm_perf_df["Open LLM Score (%)"] >= score)
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& (llm_perf_df["Memory (MB)"] <= memory)
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]
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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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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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src/utils.py
CHANGED
@@ -97,7 +97,7 @@ def process_kernels(x):
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):
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return "AWQ.GEMV"
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else:
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-
return "
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# def change_tab(query_param):
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):
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return "AWQ.GEMV"
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else:
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return "No Kernel"
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# def change_tab(query_param):
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