huzey commited on
Commit
e7b08b0
1 Parent(s): b368f4d

update gpu

Browse files
Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -657,14 +657,14 @@ demo = gr.Interface(
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  additional_inputs=[
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  gr.Dropdown(["attn", "mlp", "block"], label="Node type", value="block", elem_id="node_type", info="attn: attention output, mlp: mlp output, block: sum of residual stream"),
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  gr.Slider(0.01, 1, step=0.01, label="Affinity focal gamma", value=0.3, elem_id="affinity_focal_gamma", info="decrease for more aggressive cleaning on the affinity matrix"),
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- gr.Slider(100, 50000, step=100, label="num_sample (NCUT)", value=10000, elem_id="num_sample_ncut", info="for Nyström approximation"),
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- gr.Slider(1, 100, step=1, label="KNN (NCUT)", value=10, elem_id="knn_ncut", info="for Nyström approximation"),
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  gr.Dropdown(["t-SNE", "UMAP"], label="Embedding method", value="t-SNE", elem_id="embedding_method"),
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- gr.Slider(100, 1000, step=100, label="num_sample (t-SNE/UMAP)", value=300, elem_id="num_sample_tsne", info="for Nyström approximation. Adding will slow down quite a lot"),
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- gr.Slider(1, 100, step=1, label="KNN (t-SNE/UMAP)", value=10, elem_id="knn_tsne", info="for Nyström approximation"),
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- gr.Slider(10, 500, step=10, label="Perplexity (t-SNE)", value=150, elem_id="perplexity", info="for t-SNE"),
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- gr.Slider(10, 500, step=10, label="n_neighbors (UMAP)", value=150, elem_id="n_neighbors", info="for UMAP"),
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- gr.Slider(0.1, 1, step=0.1, label="min_dist (UMAP)", value=0.1, elem_id="min_dist", info="for UMAP"),
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  ]
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  )
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  additional_inputs=[
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  gr.Dropdown(["attn", "mlp", "block"], label="Node type", value="block", elem_id="node_type", info="attn: attention output, mlp: mlp output, block: sum of residual stream"),
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  gr.Slider(0.01, 1, step=0.01, label="Affinity focal gamma", value=0.3, elem_id="affinity_focal_gamma", info="decrease for more aggressive cleaning on the affinity matrix"),
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+ gr.Slider(100, 50000, step=100, label="num_sample (NCUT)", value=10000, elem_id="num_sample_ncut", info="Nyström approximation"),
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+ gr.Slider(1, 100, step=1, label="KNN (NCUT)", value=10, elem_id="knn_ncut", info="Nyström approximation"),
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  gr.Dropdown(["t-SNE", "UMAP"], label="Embedding method", value="t-SNE", elem_id="embedding_method"),
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+ gr.Slider(100, 1000, step=100, label="num_sample (t-SNE/UMAP)", value=300, elem_id="num_sample_tsne", info="Nyström approximation"),
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+ gr.Slider(1, 100, step=1, label="KNN (t-SNE/UMAP)", value=10, elem_id="knn_tsne", info="Nyström approximation"),
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+ gr.Slider(10, 500, step=10, label="Perplexity (t-SNE)", value=150, elem_id="perplexity"),
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+ gr.Slider(10, 500, step=10, label="n_neighbors (UMAP)", value=150, elem_id="n_neighbors"),
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+ gr.Slider(0.1, 1, step=0.1, label="min_dist (UMAP)", value=0.1, elem_id="min_dist"),
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  ]
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  )
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