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Add "checkpoint_mode" kwarg to plotting (#99)
* Add checkpoint_mode kwarg to plotting * Remove dummy key of token_category * Revert "Remove dummy key of token_category" This reverts commit 2edb2c5. * Update vis notebook * Remove kwargs and have fixed args in place --------- Co-authored-by: Siwei Li <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,67 +1,99 @@ | ||
| from typing import Union | ||
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| import ipywidgets | ||
| import numpy as np | ||
| import plotly.graph_objects as go | ||
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| def visualize_per_token_category( | ||
| input: dict[str, dict[str, tuple]], log_scale=False, **kwargs: str | ||
| ) -> ipywidgets.VBox: | ||
| model_names = list(input.keys()) | ||
| categories = list(input[model_names[0]].keys()) | ||
| input: dict[Union[str, int], dict[str, tuple]], | ||
| log_scale=False, | ||
| line_metric="Means", | ||
| checkpoint_mode=True, | ||
| shade_color="rgba(68, 68, 68, 0.3)", | ||
| line_color="rgb(31, 119, 180)", | ||
| bar_color="purple", | ||
| marker_color="SkyBlue", | ||
| background_color="AliceBlue", | ||
| ) -> go.FigureWidget: | ||
| input_x = list(input.keys()) | ||
| categories = list(input[input_x[0]].keys()) | ||
| category = categories[0] | ||
|
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| def get_hovertexts(mid: np.ndarray, lo: np.ndarray, hi: np.ndarray) -> list[str]: | ||
| return [f"Loss: {m:.3f} ({l:.3f}, {h:.3f})" for m, l, h in zip(mid, lo, hi)] | ||
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| def get_plot_values(category: str) -> tuple[np.ndarray, np.ndarray, np.ndarray]: | ||
| x = np.array([input[name][category] for name in model_names]).T | ||
| x = np.array([input[x][category] for x in input_x]).T | ||
| means, err_lo, err_hi = x[0], x[1], x[2] | ||
| return means, err_lo, err_hi | ||
|
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| means, err_low, err_hi = get_plot_values(category) | ||
| g = go.FigureWidget( | ||
| data=go.Scatter( | ||
| x=model_names, | ||
| means, err_lo, err_hi = get_plot_values(category) | ||
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| if checkpoint_mode: | ||
| scatter_plot = go.Figure( | ||
| [ | ||
| go.Scatter( | ||
| name="Upper Bound", | ||
| x=input_x, | ||
| y=means + err_hi, | ||
| mode="lines", | ||
| marker=dict(color=shade_color), | ||
| line=dict(width=0), | ||
| showlegend=False, | ||
| ), | ||
| go.Scatter( | ||
| name="Lower Bound", | ||
| x=input_x, | ||
| y=means - err_lo, | ||
| marker=dict(color=shade_color), | ||
| line=dict(width=0), | ||
| mode="lines", | ||
| fillcolor=shade_color, | ||
| fill="tonexty", | ||
| showlegend=False, | ||
| ), | ||
| go.Scatter( | ||
| name=line_metric, | ||
| x=input_x, | ||
| y=means, | ||
| mode="lines", | ||
| marker=dict( | ||
| color=line_color, | ||
| size=0, | ||
| line=dict(color=line_color, width=1), | ||
| ), | ||
| ), | ||
| ] | ||
| ) | ||
| else: | ||
| scatter_plot = go.Scatter( | ||
| x=input_x, | ||
| y=means, | ||
| error_y=dict( | ||
| type="data", | ||
| symmetric=False, | ||
| array=err_hi, | ||
| arrayminus=err_low, | ||
| color=kwargs.get("bar_color", "purple"), | ||
| arrayminus=err_lo, | ||
| color=bar_color, | ||
| ), | ||
| marker=dict( | ||
| color=kwargs.get("marker_color", "SkyBlue"), | ||
| color=marker_color, | ||
| size=15, | ||
| line=dict(color=kwargs.get("line_color", "MediumPurple"), width=2), | ||
| line=dict(color=line_color, width=2), | ||
| ), | ||
| hovertext=get_hovertexts(means, err_low, err_hi), | ||
| hovertext=get_hovertexts(means, err_lo, err_hi), | ||
| hoverinfo="text+x", | ||
| ), | ||
| ) | ||
| g = go.FigureWidget( | ||
| data=scatter_plot, | ||
| layout=go.Layout( | ||
| yaxis=dict( | ||
| title="Loss", | ||
| type="log" if log_scale else "linear", | ||
| ), | ||
| plot_bgcolor=kwargs.get("bg_color", "AliceBlue"), | ||
| plot_bgcolor=background_color, | ||
| ), | ||
| ) | ||
|
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| selected_category = ipywidgets.Dropdown( | ||
| options=categories, | ||
| placeholder="", | ||
| description="Token Category:", | ||
| disabled=False, | ||
| ) | ||
|
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| def response(change): | ||
| means, err_lo, err_hi = get_plot_values(selected_category.value) | ||
| with g.batch_update(): | ||
| g.data[0].y = means | ||
| g.data[0].error_y["array"] = err_hi | ||
| g.data[0].error_y["arrayminus"] = err_lo | ||
| g.data[0].hovertext = get_hovertexts(means, err_lo, err_hi) | ||
|
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| selected_category.observe(response, names="value") | ||
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| return ipywidgets.VBox([selected_category, g]) | ||
| return g |