mirror of
https://github.com/NVIDIA/nvbench.git
synced 2026-05-12 17:25:41 +00:00
Split tests in test_benchmark_result into smaller tests
This commit is contained in:
Oleksandr Pavlyk
@@ -23,7 +23,78 @@ import cuda.bench.results as results
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import pytest
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def test_benchmark_result_reads_jsonbin_relative_to_json_path(tmp_path):
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def write_json(path, data):
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path.write_text(json.dumps(data), encoding="utf-8")
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def block_size_axis(*values):
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return {
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"name": "BlockSize",
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"type": "int64",
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"flags": "pow2",
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"values": [
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{
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"input_string": str(value),
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"description": f"2^{value} = {2**value}",
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"value": 2**value,
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}
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for value in values
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],
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}
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def sample_file_summary(tag, filename, size):
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return {
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"tag": tag,
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"data": [
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{
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"name": "filename",
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"type": "string",
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"value": filename,
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},
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{
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"name": "size",
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"type": "int64",
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"value": str(size),
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},
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],
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}
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def sample_times_summary(filename, size):
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return sample_file_summary(
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"nv/json/bin:nv/cold/sample_times",
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filename,
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size,
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)
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def sample_frequencies_summary(filename, size):
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return sample_file_summary(
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"nv/json/freqs-bin:nv/cold/sample_freqs",
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filename,
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size,
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)
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def bwutil_summary(value):
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return {
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"tag": "nv/cold/bw/global/utilization",
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"name": "BWUtil",
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"hint": "percentage",
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"description": "Global memory utilization",
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"data": [
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{
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"name": "value",
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"type": "float64",
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"value": str(value),
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}
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],
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}
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@pytest.fixture
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def sample_result_path(tmp_path):
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bin_dir = tmp_path / "result.json-bin"
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bin_dir.mkdir()
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(bin_dir / "0.bin").write_bytes(struct.pack("<3f", 1.0, 2.0, 4.0))
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@@ -32,118 +103,106 @@ def test_benchmark_result_reads_jsonbin_relative_to_json_path(tmp_path):
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(freq_bin_dir / "0.bin").write_bytes(struct.pack("<3f", 100.0, 200.0, 400.0))
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json_fn = tmp_path / "result.json"
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json_fn.write_text(
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json.dumps(
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{
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"benchmarks": [
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{
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"name": "copy",
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"axes": [
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{
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"name": "BlockSize",
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"type": "int64",
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"flags": "pow2",
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"values": [
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{
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"input_string": "8",
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"description": "2^8 = 256",
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"value": 256,
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}
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],
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}
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],
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"states": [
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{
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"name": "Device=0 BlockSize=2^8",
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"axis_values": [
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{
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"name": "BlockSize",
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"type": "int64",
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"value": "256",
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}
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],
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"summaries": [
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{
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"tag": "nv/json/bin:nv/cold/sample_times",
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"data": [
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{
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"name": "filename",
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"type": "string",
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"value": "result.json-bin/0.bin",
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},
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{
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"name": "size",
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"type": "int64",
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"value": "3",
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},
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],
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},
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{
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"tag": "nv/cold/bw/global/utilization",
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"name": "BWUtil",
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"hint": "percentage",
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"description": "Global memory utilization",
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"data": [
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{
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"name": "value",
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"type": "float64",
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"value": "0.75",
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}
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],
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},
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{
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"tag": "nv/json/freqs-bin:nv/cold/sample_freqs",
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"data": [
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{
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"name": "filename",
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"type": "string",
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"value": "result.json-freqs-bin/0.bin",
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},
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{
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"name": "size",
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"type": "int64",
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"value": "3",
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},
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],
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},
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],
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"is_skipped": False,
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}
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],
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}
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]
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}
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),
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encoding="utf-8",
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write_json(
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json_fn,
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{
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"benchmarks": [
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{
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"name": "copy",
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"axes": [block_size_axis(8)],
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"states": [
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{
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"name": "Device=0 BlockSize=2^8",
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"axis_values": [
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{
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"name": "BlockSize",
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"type": "int64",
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"value": "256",
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}
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],
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"summaries": [
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sample_times_summary("result.json-bin/0.bin", 3),
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bwutil_summary(0.75),
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sample_frequencies_summary(
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"result.json-freqs-bin/0.bin",
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3,
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),
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],
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"is_skipped": False,
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}
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],
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}
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]
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},
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)
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return json_fn
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metadata = {"returncode": 0, "elapsed_seconds": 0.25}
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default_result = results.BenchmarkResult.from_json(json_fn)
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result = results.BenchmarkResult.from_json(json_fn, metadata=metadata)
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@pytest.fixture
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def sample_result(sample_result_path):
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return results.BenchmarkResult.from_json(sample_result_path)
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@pytest.fixture
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def sample_subbenchmark(sample_result):
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return sample_result["copy"]
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@pytest.fixture
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def sample_state(sample_subbenchmark):
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return sample_subbenchmark[0]
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def test_result_classes_are_exposed_from_results_namespace():
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assert results.BenchmarkResult.__module__ == results.__name__
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assert results.BenchmarkResultSummary.__module__ == results.__name__
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assert not hasattr(cuda.bench, "BenchmarkResult")
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def test_from_json_preserves_optional_metadata(sample_result_path):
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metadata = {"returncode": 0, "elapsed_seconds": 0.25}
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default_result = results.BenchmarkResult.from_json(sample_result_path)
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result = results.BenchmarkResult.from_json(sample_result_path, metadata=metadata)
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assert default_result.metadata is None
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assert result.metadata is metadata
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subbench = result["copy"]
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assert len(result) == 1
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assert list(result) == ["copy"]
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assert list(result.keys()) == ["copy"]
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assert list(result.values()) == [subbench]
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assert list(result.items()) == [("copy", subbench)]
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assert "copy" in result
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assert "missing" not in result
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state = subbench[0]
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assert len(subbench) == 1
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assert subbench[-1] is state
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assert subbench[:] == subbench.states
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assert list(subbench) == subbench.states
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def test_benchmark_result_implements_mapping_protocol(sample_result):
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subbenchmark = sample_result["copy"]
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assert len(sample_result) == 1
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assert list(sample_result) == ["copy"]
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assert list(sample_result.keys()) == ["copy"]
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assert list(sample_result.values()) == [subbenchmark]
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assert list(sample_result.items()) == [("copy", subbenchmark)]
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assert "copy" in sample_result
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assert "missing" not in sample_result
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assert subbenchmark is sample_result.subbenches["copy"]
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with pytest.raises(KeyError):
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sample_result["missing"]
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def test_subbenchmark_result_implements_sequence_protocol(sample_subbenchmark):
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state = sample_subbenchmark[0]
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assert len(sample_subbenchmark) == 1
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assert sample_subbenchmark[-1] is state
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assert sample_subbenchmark[:] == sample_subbenchmark.states
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assert list(sample_subbenchmark) == sample_subbenchmark.states
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with pytest.raises(IndexError):
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subbench[1]
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assert state.name() == "BlockSize[pow2]=8"
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assert state.bw == 0.75
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bw_summary = state.summaries["nv/cold/bw/global/utilization"]
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sample_subbenchmark[1]
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def test_state_parses_axis_name_and_bandwidth(sample_state):
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assert sample_state.name() == "BlockSize[pow2]=8"
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assert sample_state.bw == 0.75
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def test_state_stores_rich_summary_metadata(sample_state):
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bw_summary = sample_state.summaries["nv/cold/bw/global/utilization"]
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assert bw_summary.tag == "nv/cold/bw/global/utilization"
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assert bw_summary.name == "BWUtil"
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assert bw_summary.hint == "percentage"
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@@ -151,36 +210,42 @@ def test_benchmark_result_reads_jsonbin_relative_to_json_path(tmp_path):
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assert bw_summary.description == "Global memory utilization"
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assert bw_summary.value == pytest.approx(0.75)
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assert bw_summary["value"] == pytest.approx(0.75)
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assert state.summaries["nv/json/bin:nv/cold/sample_times"].data == {
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assert sample_state.summaries["nv/json/bin:nv/cold/sample_times"].data == {
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"filename": "result.json-bin/0.bin",
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"size": 3,
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}
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assert state.summaries["nv/json/freqs-bin:nv/cold/sample_freqs"].data == {
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assert sample_state.summaries["nv/json/freqs-bin:nv/cold/sample_freqs"].data == {
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"filename": "result.json-freqs-bin/0.bin",
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"size": 3,
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}
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assert state.samples is not None
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assert list(state.samples) == pytest.approx([1.0, 2.0, 4.0])
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assert state.frequencies is not None
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assert list(state.frequencies) == pytest.approx([100.0, 200.0, 400.0])
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centers = result.centers(lambda samples: sum(samples) / len(samples))
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assert set(centers) == {"copy"}
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assert set(centers["copy"]) == {"BlockSize[pow2]=8"}
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assert centers["copy"]["BlockSize[pow2]=8"] == pytest.approx(7.0 / 3.0)
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def test_state_loads_samples_and_frequencies(sample_state):
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assert sample_state.samples is not None
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assert list(sample_state.samples) == pytest.approx([1.0, 2.0, 4.0])
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assert sample_state.frequencies is not None
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assert list(sample_state.frequencies) == pytest.approx([100.0, 200.0, 400.0])
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def test_centers_apply_estimators_to_samples(sample_result):
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centers = sample_result.centers(lambda samples: sum(samples) / len(samples))
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assert centers == {"copy": {"BlockSize[pow2]=8": pytest.approx(7.0 / 3.0)}}
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def test_centers_with_frequencies_apply_estimators(sample_result, sample_subbenchmark):
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def weighted_mean(samples, frequencies):
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return sum(
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sample * frequency for sample, frequency in zip(samples, frequencies)
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) / sum(frequencies)
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weighted_centers = result.centers_with_frequencies(weighted_mean)
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assert set(weighted_centers) == {"copy"}
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assert set(weighted_centers["copy"]) == {"BlockSize[pow2]=8"}
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assert weighted_centers["copy"]["BlockSize[pow2]=8"] == pytest.approx(3.0)
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assert subbench is result.subbenches["copy"]
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assert subbench.centers_with_frequencies(weighted_mean) == weighted_centers["copy"]
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with pytest.raises(KeyError):
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result["missing"]
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weighted_centers = sample_result.centers_with_frequencies(weighted_mean)
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assert weighted_centers == {"copy": {"BlockSize[pow2]=8": pytest.approx(3.0)}}
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assert (
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sample_subbenchmark.centers_with_frequencies(weighted_mean)
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== weighted_centers["copy"]
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)
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def test_benchmark_result_constructor_is_private():
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@@ -227,57 +292,33 @@ def test_benchmark_result_accepts_no_axis_benchmark_with_recorded_binary_path(
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(freq_bin_dir / "0.bin").write_bytes(struct.pack("<2f", 100.0, 400.0))
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json_fn = data_dir / "axes_run1.json"
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json_fn.write_text(
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json.dumps(
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{
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"benchmarks": [
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{
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"name": "simple",
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"axes": None,
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"states": [
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{
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"name": "Device=0",
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"axis_values": None,
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"summaries": [
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{
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"tag": "nv/json/bin:nv/cold/sample_times",
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"data": [
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{
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"name": "filename",
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"type": "string",
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"value": "temp_data/axes_run1.json-bin/0.bin",
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},
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{
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"name": "size",
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"type": "int64",
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"value": "2",
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},
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],
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},
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{
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"tag": "nv/json/freqs-bin:nv/cold/sample_freqs",
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"data": [
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{
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"name": "filename",
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"type": "string",
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"value": "temp_data/axes_run1.json-freqs-bin/0.bin",
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},
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{
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"name": "size",
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"type": "int64",
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"value": "2",
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},
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],
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},
|
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],
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"is_skipped": False,
|
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}
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],
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}
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]
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}
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),
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encoding="utf-8",
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write_json(
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json_fn,
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{
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"benchmarks": [
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{
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"name": "simple",
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"axes": None,
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"states": [
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{
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"name": "Device=0",
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"axis_values": None,
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"summaries": [
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sample_times_summary(
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"temp_data/axes_run1.json-bin/0.bin",
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2,
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),
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sample_frequencies_summary(
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"temp_data/axes_run1.json-freqs-bin/0.bin",
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2,
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||||
),
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||||
],
|
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"is_skipped": False,
|
||||
}
|
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],
|
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}
|
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]
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},
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)
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monkeypatch.chdir(tmp_path)
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@@ -338,25 +379,7 @@ def test_benchmark_result_ignores_skipped_state_with_no_summaries():
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result = results.SubBenchmarkResult(
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{
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"name": "copy_sweep_grid_shape",
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"axes": [
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{
|
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"name": "BlockSize",
|
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"type": "int64",
|
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"flags": "pow2",
|
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"values": [
|
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{
|
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"input_string": "6",
|
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"description": "2^6 = 64",
|
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"value": 64,
|
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},
|
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{
|
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"input_string": "8",
|
||||
"description": "2^8 = 256",
|
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"value": 256,
|
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},
|
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],
|
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}
|
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],
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"axes": [block_size_axis(6, 8)],
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"states": [
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{
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"name": "Device=0 BlockSize=2^8",
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@@ -393,93 +416,51 @@ def test_benchmark_result_ignores_skipped_state_with_no_summaries():
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def test_benchmark_result_uses_none_for_unavailable_samples(tmp_path):
|
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json_fn = tmp_path / "result.json"
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json_fn.write_text(
|
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json.dumps(
|
||||
{
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "copy",
|
||||
"axes": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"flags": "pow2",
|
||||
"values": [
|
||||
{
|
||||
"input_string": "8",
|
||||
"description": "2^8 = 256",
|
||||
"value": 256,
|
||||
},
|
||||
{
|
||||
"input_string": "9",
|
||||
"description": "2^9 = 512",
|
||||
"value": 512,
|
||||
},
|
||||
],
|
||||
}
|
||||
],
|
||||
"states": [
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^8",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "256",
|
||||
}
|
||||
],
|
||||
"summaries": [],
|
||||
"is_skipped": False,
|
||||
},
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^9",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "512",
|
||||
}
|
||||
],
|
||||
"summaries": [
|
||||
{
|
||||
"tag": "nv/json/bin:nv/cold/sample_times",
|
||||
"data": [
|
||||
{
|
||||
"name": "filename",
|
||||
"type": "string",
|
||||
"value": "result.json-bin/missing.bin",
|
||||
},
|
||||
{
|
||||
"name": "size",
|
||||
"type": "int64",
|
||||
"value": "3",
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
"tag": "nv/json/freqs-bin:nv/cold/sample_freqs",
|
||||
"data": [
|
||||
{
|
||||
"name": "filename",
|
||||
"type": "string",
|
||||
"value": "result.json-freqs-bin/missing.bin",
|
||||
},
|
||||
{
|
||||
"name": "size",
|
||||
"type": "int64",
|
||||
"value": "3",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
"is_skipped": False,
|
||||
},
|
||||
],
|
||||
}
|
||||
]
|
||||
}
|
||||
),
|
||||
encoding="utf-8",
|
||||
write_json(
|
||||
json_fn,
|
||||
{
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "copy",
|
||||
"axes": [block_size_axis(8, 9)],
|
||||
"states": [
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^8",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "256",
|
||||
}
|
||||
],
|
||||
"summaries": [],
|
||||
"is_skipped": False,
|
||||
},
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^9",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "512",
|
||||
}
|
||||
],
|
||||
"summaries": [
|
||||
sample_times_summary(
|
||||
"result.json-bin/missing.bin",
|
||||
3,
|
||||
),
|
||||
sample_frequencies_summary(
|
||||
"result.json-freqs-bin/missing.bin",
|
||||
3,
|
||||
),
|
||||
],
|
||||
"is_skipped": False,
|
||||
},
|
||||
],
|
||||
}
|
||||
]
|
||||
},
|
||||
)
|
||||
|
||||
result = results.BenchmarkResult.from_json(json_fn)
|
||||
@@ -514,76 +495,36 @@ def test_benchmark_result_rejects_mismatched_sample_and_frequency_counts(tmp_pat
|
||||
(freq_bin_dir / "0.bin").write_bytes(struct.pack("<2f", 100.0, 200.0))
|
||||
|
||||
json_fn = tmp_path / "result.json"
|
||||
json_fn.write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "copy",
|
||||
"axes": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"flags": "pow2",
|
||||
"values": [
|
||||
{
|
||||
"input_string": "8",
|
||||
"description": "2^8 = 256",
|
||||
"value": 256,
|
||||
}
|
||||
],
|
||||
}
|
||||
],
|
||||
"states": [
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^8",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "256",
|
||||
}
|
||||
],
|
||||
"summaries": [
|
||||
{
|
||||
"tag": "nv/json/bin:nv/cold/sample_times",
|
||||
"data": [
|
||||
{
|
||||
"name": "filename",
|
||||
"type": "string",
|
||||
"value": "result.json-bin/0.bin",
|
||||
},
|
||||
{
|
||||
"name": "size",
|
||||
"type": "int64",
|
||||
"value": "3",
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
"tag": "nv/json/freqs-bin:nv/cold/sample_freqs",
|
||||
"data": [
|
||||
{
|
||||
"name": "filename",
|
||||
"type": "string",
|
||||
"value": "result.json-freqs-bin/0.bin",
|
||||
},
|
||||
{
|
||||
"name": "size",
|
||||
"type": "int64",
|
||||
"value": "2",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
"is_skipped": False,
|
||||
}
|
||||
],
|
||||
}
|
||||
]
|
||||
}
|
||||
),
|
||||
encoding="utf-8",
|
||||
write_json(
|
||||
json_fn,
|
||||
{
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "copy",
|
||||
"axes": [block_size_axis(8)],
|
||||
"states": [
|
||||
{
|
||||
"name": "Device=0 BlockSize=2^8",
|
||||
"axis_values": [
|
||||
{
|
||||
"name": "BlockSize",
|
||||
"type": "int64",
|
||||
"value": "256",
|
||||
}
|
||||
],
|
||||
"summaries": [
|
||||
sample_times_summary("result.json-bin/0.bin", 3),
|
||||
sample_frequencies_summary(
|
||||
"result.json-freqs-bin/0.bin",
|
||||
2,
|
||||
),
|
||||
],
|
||||
"is_skipped": False,
|
||||
}
|
||||
],
|
||||
}
|
||||
]
|
||||
},
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="sample count .* frequency count"):
|
||||
|
||||
Reference in New Issue
Block a user