-
Notifications
You must be signed in to change notification settings - Fork 996
Expand file tree
/
Copy pathMakefile
More file actions
88 lines (78 loc) · 4.05 KB
/
Copy pathMakefile
File metadata and controls
88 lines (78 loc) · 4.05 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
.PHONY: test_rust test_python tests pre-commit setup-test-python install-llvm-cov setup-benchmark
# Detect NVIDIA driver. Sufficient for `test_python` because `qdp-core` can
# build against its CUDA-stub fallback when the toolkit is absent (the
# Rust extension just won't be GPU-functional at runtime).
HAS_NVIDIA := $(shell command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi -L >/dev/null 2>&1 && echo yes || echo no)
# Detect CUDA Toolkit. Required for `test_rust` because the qdp-core
# integration tests link against libcudart from the toolkit. PyTorch's
# bundled cudart inside its wheel does *not* satisfy this; the toolkit
# (apt: nvidia-cuda-toolkit, or NVIDIA's installer) must be on PATH.
HAS_NVCC := $(shell command -v nvcc >/dev/null 2>&1 && echo yes || echo no)
setup-test-python:
uv sync --group dev
install-llvm-cov:
@cargo llvm-cov --version >/dev/null 2>&1 || (echo "[INFO] Installing cargo-llvm-cov..." && cargo install cargo-llvm-cov)
test_rust: install-llvm-cov
ifeq ($(HAS_NVCC),yes)
cd qdp && cargo llvm-cov test --workspace --exclude qdp-python --html --output-dir target/llvm-cov/html
cd qdp && cargo llvm-cov report --summary-only
else
ifeq ($(HAS_NVIDIA),yes)
@echo "[SKIP] NVIDIA driver detected but CUDA Toolkit (nvcc) is not on PATH."
@echo " qdp-core integration tests link against libcudart and require"
@echo " the toolkit. PyTorch's bundled cudart is not sufficient."
@echo " Install via: apt install nvidia-cuda-toolkit"
@echo " or from: https://developer.nvidia.com/cuda-downloads"
else
@echo "[SKIP] No NVIDIA GPU detected, skipping test_rust"
endif
endif
test_python: setup-test-python
ifeq ($(HAS_NVIDIA),yes)
unset CONDA_PREFIX && uv run --active maturin develop --manifest-path qdp/qdp-python/Cargo.toml
else
@echo "[SKIP] No NVIDIA GPU detected, skipping maturin develop"
endif
uv run pytest --cov=qumat --cov=qumat_qdp --cov-report=term-missing --cov-report=html:htmlcov
tests: test_rust test_python
pre-commit: setup-test-python
uv run pre-commit run --all-files
setup-benchmark: setup-test-python
ifeq ($(HAS_NVIDIA),yes)
@echo "[INFO] Setting up benchmark environment..."
uv sync --group dev --extra qdp
uv sync --project qdp/qdp-python --group benchmark --active
unset CONDA_PREFIX && uv run --active maturin develop --manifest-path qdp/qdp-python/Cargo.toml
@echo "[INFO] Benchmark environment ready. The following benchmarks are available:"
@echo "[INFO] Available benchmark scripts:"
@echo " - benchmark_e2e.py: End-to-end latency (Disk -> GPU VRAM)"
@echo " - benchmark_latency.py: Data-to-State latency (CPU RAM -> GPU VRAM)"
@echo " - benchmark_throughput.py: DataLoader-style throughput"
@echo ""
@echo "[INFO] Run specific benchmarks with:"
@echo " uv run --active python qdp/qdp-python/benchmark/benchmark_e2e.py"
@echo " uv run --active python qdp/qdp-python/benchmark/benchmark_latency.py"
@echo " uv run --active python qdp/qdp-python/benchmark/benchmark_throughput.py"
@echo ""
@echo "[INFO] See qdp/qdp-python/benchmark/README.md for more options."
else
@echo "[SKIP] No NVIDIA GPU detected, skipping maturin develop"
@echo "[INFO] Setting up benchmark environment (CPU-only)..."
uv sync --project qdp/qdp-python --group benchmark --active
@echo "[INFO] Benchmarks require NVIDIA GPU. Setup completed for manual execution."
endif