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Flatten subprojects into a single base monorepo
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#!/usr/bin/env python3
# Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
# SPDX-License-Identifier: MIT
"""
Unit tests for depthwise convolution rules in codegen/tile_math.py.
Ground truth: all 20 profiler depthwise configs extracted from
configs/grouped_conv/forward/profiler/ngchw_fp16.json (identical
across fp16/bf16/fp32).
Run:
cd projects/composablekernel/dispatcher
python3 -m unittest tests/test_depthwise_tile_math.py -v
"""
import sys
import unittest
from pathlib import Path
SCRIPT_DIR = Path(__file__).parent.resolve()
DISPATCHER_DIR = SCRIPT_DIR.parent
sys.path.insert(0, str(DISPATCHER_DIR / "codegen"))
from grouped_conv.tile_math import ( # noqa: E402
DepthwiseConfig,
is_valid_depthwise_config,
get_valid_depthwise_configs,
)
# =============================================================================
# Reference configs from JSON ground truth
# =============================================================================
# Tuple order: (tile_h, tile_w, filt, str_h, str_w, pad_h, pad_w,
# nbatch, sub_h, sub_w, in_vec, out_vec)
DEPTHWISE_PROFILER_CONFIGS = [
(8, 8, 3, 1, 1, 1, 1, 8, 2, 2, 2, 2),
(16, 16, 3, 1, 1, 1, 1, 8, 1, 4, 8, 8),
(16, 16, 3, 1, 1, 1, 1, 1, 2, 2, 2, 2),
(28, 28, 3, 1, 1, 1, 1, 1, 4, 4, 8, 8),
(32, 32, 3, 1, 1, 1, 1, 1, 4, 4, 8, 8),
(16, 16, 3, 2, 2, 1, 1, 2, 1, 4, 8, 8),
(16, 16, 3, 2, 2, 1, 1, 1, 1, 4, 8, 8),
(16, 16, 3, 2, 2, 1, 1, 1, 2, 2, 8, 8),
(16, 16, 3, 2, 2, 1, 1, 1, 2, 2, 2, 2),
(14, 28, 3, 2, 2, 1, 1, 1, 2, 4, 8, 8),
(32, 32, 3, 2, 2, 1, 1, 2, 4, 4, 8, 8),
(32, 32, 3, 2, 2, 1, 1, 1, 4, 4, 4, 4),
(32, 32, 3, 2, 2, 1, 1, 1, 4, 4, 8, 8),
(32, 32, 3, 2, 2, 1, 1, 1, 2, 8, 8, 8),
(8, 8, 5, 1, 1, 2, 2, 1, 1, 1, 1, 1),
(8, 8, 5, 1, 1, 2, 2, 8, 2, 2, 2, 2),
(16, 16, 5, 1, 1, 2, 2, 1, 1, 4, 8, 8),
(16, 16, 5, 1, 1, 2, 2, 8, 1, 4, 8, 8),
(28, 28, 5, 1, 1, 2, 2, 8, 4, 4, 8, 8),
(32, 32, 5, 1, 1, 2, 2, 4, 4, 4, 8, 8),
]
DEPTHWISE_TEST_CONFIGS = [
(8, 8, 3, 1, 1, 1, 1, 8, 2, 2, 2, 2),
(32, 32, 3, 1, 1, 1, 1, 1, 4, 4, 8, 8),
(16, 16, 3, 2, 2, 1, 1, 2, 1, 4, 8, 8),
(32, 32, 3, 2, 2, 1, 1, 1, 2, 8, 8, 8),
(8, 8, 5, 1, 1, 2, 2, 1, 1, 1, 1, 1),
(32, 32, 5, 1, 1, 2, 2, 4, 4, 4, 8, 8),
]
# Tile/filter/stride space matching grouped_config_rules_default.py
TILE_SIZES = [(8, 8), (14, 28), (16, 16), (28, 28), (32, 32)]
FILTER_SIZES = [3, 5]
STRIDES = [(1, 1), (2, 2)]
def _tuple_to_cfg(t):
"""Convert a 12-tuple to a DepthwiseConfig."""
return DepthwiseConfig(*t)
def _cfg_to_tuple(c):
"""Convert a DepthwiseConfig to a 12-tuple."""
return (c.tile_h, c.tile_w, c.filt, c.str_h, c.str_w,
c.pad_h, c.pad_w, c.nbatch, c.sub_h, c.sub_w,
c.in_vec, c.out_vec)
# =============================================================================
# Tests
# =============================================================================
class TestIsValidDepthwiseConfig(unittest.TestCase):
"""Tests for is_valid_depthwise_config()."""
def test_all_reference_configs_valid(self):
"""Every JSON reference config must pass validation."""
for t in DEPTHWISE_PROFILER_CONFIGS:
cfg = _tuple_to_cfg(t)
self.assertTrue(
is_valid_depthwise_config(cfg),
f"Reference config should be valid: {t}",
)
def test_all_reference_configs_valid_fp32(self):
"""Reference configs must also be valid with fp32 dtype_size=4."""
for t in DEPTHWISE_PROFILER_CONFIGS:
cfg = _tuple_to_cfg(t)
self.assertTrue(is_valid_depthwise_config(cfg, dtype_size=4))
def test_odd_filter_required(self):
"""Even filter size must be rejected."""
cfg = DepthwiseConfig(8, 8, 4, 1, 1, 1, 1, 8, 2, 2, 2, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_pad_w_must_be_positive(self):
"""PadW=0 must be rejected."""
cfg = DepthwiseConfig(8, 8, 3, 1, 1, 1, 0, 8, 2, 2, 2, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_subtile_exceeds_tile(self):
"""sub_h > tile_h must be rejected."""
cfg = DepthwiseConfig(8, 8, 3, 1, 1, 1, 1, 8, 16, 2, 2, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_total_subtiles_exceeds_64(self):
"""Config with too many subtiles must be rejected."""
# sub_h=1, sub_w=1 on tile 16x16 → 256 subtiles > 64
cfg = DepthwiseConfig(16, 16, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_nbatch_divisibility(self):
"""nbatch must be divisible by tile_per_wave."""
# tile_h=8, tile_w=8, sub_h=2, sub_w=2 → 4×4=16 subtiles
# tile_per_wave = 64//16 = 4, so nbatch=3 is invalid
cfg = DepthwiseConfig(8, 8, 3, 1, 1, 1, 1, 3, 2, 2, 2, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_vec_not_power_of_2(self):
"""Non-power-of-2 vector size must be rejected."""
cfg = DepthwiseConfig(8, 8, 3, 1, 1, 1, 1, 8, 2, 2, 3, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
def test_stride_w_constraint(self):
"""Odd StrideW != 1 must be rejected."""
cfg = DepthwiseConfig(8, 8, 3, 1, 3, 1, 1, 8, 2, 2, 2, 2)
self.assertFalse(is_valid_depthwise_config(cfg))
class TestGetValidDepthwiseConfigs(unittest.TestCase):
"""Tests for get_valid_depthwise_configs()."""
@classmethod
def setUpClass(cls):
"""Generate configs once for all tests."""
cls.generated = get_valid_depthwise_configs(
TILE_SIZES, FILTER_SIZES, STRIDES,
)
cls.generated_set = {_cfg_to_tuple(c) for c in cls.generated}
def test_no_false_negatives(self):
"""Every JSON profiler reference config must be generated by rules."""
missing = []
for ref in DEPTHWISE_PROFILER_CONFIGS:
if ref not in self.generated_set:
missing.append(ref)
if missing:
lines = [f" {m}" for m in missing]
self.fail(
f"{len(missing)}/20 profiler configs missing:\n"
+ "\n".join(lines)
)
def test_test_configs_are_subset(self):
"""Test configs must also be in the generated set."""
for ref in DEPTHWISE_TEST_CONFIGS:
self.assertIn(ref, self.generated_set,
f"Test config missing: {ref}")
def test_all_generated_are_valid(self):
"""Every generated config must pass all constraint checks."""
invalid = []
for cfg in self.generated:
if not is_valid_depthwise_config(cfg):
invalid.append(_cfg_to_tuple(cfg))
if invalid:
self.fail(f"{len(invalid)} generated configs are invalid")
def test_no_duplicates(self):
"""Generated list must not contain duplicates."""
self.assertEqual(
len(self.generated), len(self.generated_set),
"Duplicate configs found in generated list",
)
def test_generates_nonzero_configs(self):
"""Must generate at least the 20 reference configs."""
self.assertGreaterEqual(len(self.generated), 20)
def test_coverage_rate(self):
"""Log coverage statistics (informational)."""
n_ref = len(DEPTHWISE_PROFILER_CONFIGS)
n_covered = sum(1 for r in DEPTHWISE_PROFILER_CONFIGS
if r in self.generated_set)
n_total = len(self.generated)
print(f"\n[depthwise coverage] {n_covered}/{n_ref} reference covered, "
f"{n_total} total generated")
self.assertEqual(n_covered, n_ref,
f"Coverage {n_covered}/{n_ref} < 100%")
def test_empty_input(self):
"""Empty tile_sizes should return no configs."""
self.assertEqual(
get_valid_depthwise_configs([], [3], [(1, 1)]),
[],
)
def test_smem_constraint_rejects_huge_tile_fp32(self):
"""Very large tiles with fp32 should produce fewer configs due to SmemSize."""
# fp32 (dtype_size=4) doubles SmemSize, pruning more configs
fp16 = get_valid_depthwise_configs([(32, 32)], [5], [(1, 1)], dtype_size=2)
fp32 = get_valid_depthwise_configs([(32, 32)], [5], [(1, 1)], dtype_size=4)
self.assertLess(len(fp32), len(fp16),
"fp32 should produce fewer valid configs than fp16")
if __name__ == "__main__":
unittest.main(verbosity=2)