aboutsummaryrefslogtreecommitdiff
path: root/analysis/vis.livemd
diff options
context:
space:
mode:
Diffstat (limited to 'analysis/vis.livemd')
-rw-r--r--analysis/vis.livemd88
1 files changed, 59 insertions, 29 deletions
diff --git a/analysis/vis.livemd b/analysis/vis.livemd
index bd33860..b89d841 100644
--- a/analysis/vis.livemd
+++ b/analysis/vis.livemd
@@ -20,18 +20,18 @@ alias Explorer.Series, as: SE
job_id = "1174"
job_dir = Path.expand(~c"./" ++ job_id) |> Path.absname()
sections_dir = Path.join(job_dir, "sections")
+cm_dir = Path.join([job_dir, "candelabra", "benchmark_results"])
criterion_dir = Path.join(job_dir, "criterion")
```
## Read cost model data
```elixir
-{:ok, cost_model_files} = File.ls(sections_dir)
+{:ok, cost_model_files} = File.ls(cm_dir)
cost_model_files =
cost_model_files
- |> Enum.filter(fn name -> String.contains?(name, "cost-model") end)
- |> Enum.map(fn fname -> Path.join(sections_dir, fname) |> Path.absname() end)
+ |> Enum.map(fn fname -> Path.join(cm_dir, fname) |> Path.absname() end)
cost_model_files
```
@@ -43,34 +43,46 @@ cost_model_files
cost_models =
cost_model_files
|> Enum.map(fn fname ->
- {:ok, contents} = File.read(fname)
- [_, table | _] = String.split(contents, "line\n")
- [rows | _] = String.split(table, "\n\\end")
- rows = String.split(rows, "\n")
-
- [_, impl] = String.split(fname, "cost-model-")
- impl = String.replace(impl, "-", ":")
-
- rows
- |> Enum.map(fn row ->
- [row | _] = String.split(row, " \\\\")
- [name, nmrse | coeffs] = String.split(row, " & ")
- [nmrse | _] = String.split(nmrse)
+ impl = Path.basename(fname) |> String.replace("_", ":")
+ contents = File.read!(fname)
+ contents = JSON.decode!(contents)
+ contents["model"]["by_op"]
+ |> Enum.map(fn {op, %{"coeffs" => coeffs}} ->
%{
- op: name,
- coeffs: coeffs |> Enum.map(&String.to_float/1),
- nmrse: String.to_float(nmrse)
+ op: op,
+ impl: impl,
+ coeffs: coeffs
}
end)
- |> Enum.map(fn d -> d |> Map.put(:impl, impl) end)
|> DF.new()
end)
|> DF.concat_rows()
```
```elixir
-Tucan.histogram(cost_models, "nmrse")
+# Parse cost model information
+cost_model_points =
+ cost_model_files
+ |> Enum.map(fn fname ->
+ impl = Path.basename(fname) |> String.replace("_", ":")
+ contents = File.read!(fname)
+ contents = JSON.decode!(contents)
+
+ contents["results"]["by_op"]
+ |> Enum.flat_map(fn {op, results} ->
+ Enum.map(results, fn [n, cost] ->
+ %{
+ op: op,
+ impl: String.split(impl, "::") |> List.last(),
+ n: n,
+ t: cost
+ }
+ end)
+ end)
+ |> DF.new()
+ end)
+ |> DF.concat_rows()
```
```elixir
@@ -112,14 +124,32 @@ end
```elixir
inspect_op = "insert"
-cost_models
-|> DF.filter(op == ^inspect_op)
-|> DF.distinct(["impl"])
-|> DF.to_rows()
-|> Enum.map(fn %{"impl" => impl} -> points_for.(impl, inspect_op) end)
-|> DF.concat_rows()
-|> Tucan.lineplot("n", "t", color_by: "impl", clip: true)
-|> Tucan.Scale.set_y_domain(0, 200)
+Tucan.layers([
+ cost_models
+ |> DF.filter(op == ^inspect_op)
+ |> DF.distinct(["impl"])
+ |> DF.to_rows()
+ |> Enum.map(fn %{"impl" => impl} -> points_for.(impl, inspect_op) end)
+ |> DF.concat_rows()
+ |> Tucan.lineplot("n", "t", color_by: "impl", clip: true)
+ |> Tucan.Scale.set_y_domain(0, 200),
+ Tucan.scatter(
+ cost_model_points
+ |> DF.filter(op == ^inspect_op)
+ |> DF.group_by(["impl", "n"])
+ |> DF.summarise(t: mean(t)),
+ "n",
+ "t",
+ color_by: "impl",
+ clip: true
+ )
+])
+```
+
+```elixir
+cost_model_points
+|> DF.group_by(["impl", "n"])
+|> DF.summarise(t: mean(t))
```
## Read benchmark data