Training run - 2026-05-28 05:37:23
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icc28 test
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A ash 2026-05-28 05:37:23 -04:00
parent b307499b8c
commit 7c33f7adad
2 changed files with 386 additions and 0 deletions

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data:
batch_size: 32
dataset_params:
iq_key: iq_data
label_key: labels
drop_last: false
kind: iq_h5
num_workers: 0
persistent_workers: false
pin_memory: false
test_path: /opt/qmb/riahub/dataset/qoherent/icc-28/main/datasets/icc28-test_v1.0.0.h5
test_split: 0
train_path: /opt/qmb/riahub/dataset/qoherent/icc-28/main/datasets/icc28-train_v1.0.0.h5
validation_path: /opt/qmb/riahub/dataset/qoherent/icc-28/main/datasets/icc28-test_v1.0.0.h5
validation_split: 0
evaluation:
capture_predictions: true
enabled: true
params:
save_confusion: true
split: test
export:
dynamic_batch: true
dynamic_width: false
enabled: true
file_name: model.onnx
opset_version: 17
strict: false
use_dynamo: true
use_onnxsim: false
model:
name: iq_vtcnn2
params:
dropout_p: 0.6
optimization:
loss:
name: cross_entropy
params: {}
optimizer:
name: adam
params:
amsgrad: false
eps: 1e-08
lr: 0.001
weight_decay: 0
runtime:
amp_enabled: false
autocast_dtype: float32
checkpoint_every_n_epochs: 1
component_modules: []
device: auto
epochs: 1
progress_bar: false
seed: 42
task:
name: classification
params:
save_artifacts: true
selection_metric: accuracy
selection_mode: max

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name: QMB Training
on:
push:
branches: [ "main" ]
paths:
- ".riahub/workflows/train.yaml"
pull_request:
branches: [ "main" ]
paths:
- ".riahub/workflows/train.yaml"
permissions:
contents: read
actions: read
jobs:
QMB-Training:
runs-on: "whitehorse-p40-qmb"
env:
RIAHUB_BASE_URL: ${{ vars.RIAHUB_BASE_URL || secrets.RIAHUB_BASE_URL || '' }}
QMB_OUTPUT_ROOT: "/opt/qmb/outputs"
QMB_TASK_REPO_ROOT: "/opt/qmb/task_repos"
steps:
- name: Display basic runner info
run: |
echo "Runner OS: ${{ runner.os }}"
echo "Runner Architecture: ${{ runner.arch }}"
- name: Print CPU information
run: |
lscpu
- name: Print GPU information
run: |
if command -v nvidia-smi &> /dev/null; then
nvidia-smi
else
echo "No NVIDIA GPU available."
fi
- name: Checkout Training Dataset
shell: bash
timeout-minutes: 10
env:
RIAHUB_USER: ${{ secrets.QMBDEMO_USER }}
RIAHUB_TOKEN: ${{ secrets.QMBDEMO_TOKEN }}
GIT_TERMINAL_PROMPT: "0"
run: |
set -euo pipefail
DEFAULT_BASE_URL='https://riahub.ai'
BASE_URL_SOURCE=${RIAHUB_BASE_URL:-$DEFAULT_BASE_URL}
BASE_URL_SOURCE="${BASE_URL_SOURCE%/}"
build_base_candidates() {
local raw="$1"
if [[ "$raw" =~ ^https?:// ]]; then
echo "$raw"
if [[ "$raw" == http://* ]]; then
echo "https://${raw#http://}"
elif [[ "$raw" == https://* ]]; then
echo "http://${raw#https://}"
fi
return
fi
echo "https://$raw"
echo "http://$raw"
}
AUTH_HEADER=""
if [[ -n "${RIAHUB_USER:-}" && -n "${RIAHUB_TOKEN:-}" ]]; then
AUTH_HEADER=$(printf 'Authorization: basic %s' "$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
fi
git_auth() {
if [[ -n "$AUTH_HEADER" ]]; then
sudo env GIT_TERMINAL_PROMPT=0 git -c "http.extraheader=$AUTH_HEADER" "$@"
else
sudo env GIT_TERMINAL_PROMPT=0 git "$@"
fi
}
REPO_PATH='/qoherent/icc-28.git'
DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-28/main'
sudo mkdir -p "$(dirname "$DEST_ROOT")"
if ! command -v git-lfs >/dev/null 2>&1; then
sudo apt-get update -y
sudo apt-get install -y git-lfs
fi
mapfile -t BASE_CANDIDATES < <(build_base_candidates "$BASE_URL_SOURCE")
MATERIALIZED=0
for base in "${BASE_CANDIDATES[@]}"; do
base="${base%/}"
REPO_URL="${base}${REPO_PATH}"
echo "Fetching dataset from $REPO_URL"
sudo rm -rf "$DEST_ROOT"
sudo mkdir -p "$DEST_ROOT"
sudo git -C "$DEST_ROOT" init || continue
sudo git -C "$DEST_ROOT" remote add origin "$REPO_URL" || continue
sudo git -C "$DEST_ROOT" sparse-checkout init --no-cone || continue
sudo git -C "$DEST_ROOT" sparse-checkout set --no-cone -- \
'datasets/icc28-train_v1.0.0.h5' || continue
if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin '1d9083f05d0538110f09e710865b078eba30964b'; then
continue
fi
if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
continue
fi
if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='datasets/icc28-train_v1.0.0.h5' --exclude=""; then
echo "LFS fetch failed for candidate $base, trying next" >&2
continue
fi
if ! sudo git -C "$DEST_ROOT" lfs checkout; then
echo "LFS checkout failed for candidate $base, trying next" >&2
continue
fi
POINTER_FOUND=0
_LFS_REL_PATH='datasets/icc28-train_v1.0.0.h5'
if [[ "$(sudo head -c 9 "$DEST_ROOT/$_LFS_REL_PATH" 2>/dev/null || true)" == "version h" ]]; then
echo "LFS materialization left a pointer at $DEST_ROOT/$_LFS_REL_PATH for candidate $base, trying next" >&2
POINTER_FOUND=1
fi
if [[ "$POINTER_FOUND" -ne 0 ]]; then
continue
fi
MATERIALIZED=1
break
done
if [[ "$MATERIALIZED" -ne 1 ]]; then
echo "Failed to materialize dataset using base URL candidates derived from: $BASE_URL_SOURCE" >&2
if [[ -z "$AUTH_HEADER" ]]; then
echo " (no credentials configured: set QMBDEMO_USER and QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
fi
exit 1
fi
- name: Checkout Validation Dataset
shell: bash
timeout-minutes: 10
env:
RIAHUB_USER: ${{ secrets.QMBDEMO_USER }}
RIAHUB_TOKEN: ${{ secrets.QMBDEMO_TOKEN }}
GIT_TERMINAL_PROMPT: "0"
run: |
set -euo pipefail
DEFAULT_BASE_URL='https://riahub.ai'
BASE_URL_SOURCE=${RIAHUB_BASE_URL:-$DEFAULT_BASE_URL}
BASE_URL_SOURCE="${BASE_URL_SOURCE%/}"
build_base_candidates() {
local raw="$1"
if [[ "$raw" =~ ^https?:// ]]; then
echo "$raw"
if [[ "$raw" == http://* ]]; then
echo "https://${raw#http://}"
elif [[ "$raw" == https://* ]]; then
echo "http://${raw#https://}"
fi
return
fi
echo "https://$raw"
echo "http://$raw"
}
AUTH_HEADER=""
if [[ -n "${RIAHUB_USER:-}" && -n "${RIAHUB_TOKEN:-}" ]]; then
AUTH_HEADER=$(printf 'Authorization: basic %s' "$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
fi
git_auth() {
if [[ -n "$AUTH_HEADER" ]]; then
sudo env GIT_TERMINAL_PROMPT=0 git -c "http.extraheader=$AUTH_HEADER" "$@"
else
sudo env GIT_TERMINAL_PROMPT=0 git "$@"
fi
}
REPO_PATH='/qoherent/icc-28.git'
DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-28/main'
sudo mkdir -p "$(dirname "$DEST_ROOT")"
if ! command -v git-lfs >/dev/null 2>&1; then
sudo apt-get update -y
sudo apt-get install -y git-lfs
fi
mapfile -t BASE_CANDIDATES < <(build_base_candidates "$BASE_URL_SOURCE")
MATERIALIZED=0
for base in "${BASE_CANDIDATES[@]}"; do
base="${base%/}"
REPO_URL="${base}${REPO_PATH}"
echo "Fetching dataset from $REPO_URL"
sudo rm -rf "$DEST_ROOT"
sudo mkdir -p "$DEST_ROOT"
sudo git -C "$DEST_ROOT" init || continue
sudo git -C "$DEST_ROOT" remote add origin "$REPO_URL" || continue
sudo git -C "$DEST_ROOT" sparse-checkout init --no-cone || continue
sudo git -C "$DEST_ROOT" sparse-checkout set --no-cone -- \
'datasets/icc28-test_v1.0.0.h5' || continue
if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin 'b307499b8c7150e10537d8f2f17fe108f0bc73db'; then
continue
fi
if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
continue
fi
if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='datasets/icc28-test_v1.0.0.h5' --exclude=""; then
echo "LFS fetch failed for candidate $base, trying next" >&2
continue
fi
if ! sudo git -C "$DEST_ROOT" lfs checkout; then
echo "LFS checkout failed for candidate $base, trying next" >&2
continue
fi
POINTER_FOUND=0
_LFS_REL_PATH='datasets/icc28-test_v1.0.0.h5'
if [[ "$(sudo head -c 9 "$DEST_ROOT/$_LFS_REL_PATH" 2>/dev/null || true)" == "version h" ]]; then
echo "LFS materialization left a pointer at $DEST_ROOT/$_LFS_REL_PATH for candidate $base, trying next" >&2
POINTER_FOUND=1
fi
if [[ "$POINTER_FOUND" -ne 0 ]]; then
continue
fi
MATERIALIZED=1
break
done
if [[ "$MATERIALIZED" -ne 1 ]]; then
echo "Failed to materialize dataset using base URL candidates derived from: $BASE_URL_SOURCE" >&2
if [[ -z "$AUTH_HEADER" ]]; then
echo " (no credentials configured: set QMBDEMO_USER and QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
fi
exit 1
fi
- name: Checkout configs
uses: actions/checkout@v5
with:
sparse-checkout: .riahub/train_configs
- name: Copy configs into qmb folder
run: |
mkdir -p /opt/qmb/configs/
sudo cp -r ${{ github.workspace }}/.riahub/train_configs/* /opt/qmb/configs/
- name: List QMB project contents
run: |
ls -lha /opt/qmb
ls -lh /opt/qmb/wheel
- name: List Downloaded RIA Hub contents
run: |
ls -lh /opt/qmb/riahub || true
ls -lh /opt/qmb/riahub/model || true
ls -lh /opt/qmb/riahub/dataset || true
- name: Setup Python
uses: actions/setup-python@v6
with:
python-version: "3.13"
- name: Install Python dependencies
run: |
set -euo pipefail
uv pip install --system --index-url https://pypi.org/simple --upgrade /opt/qmb/wheel/*.whl
TORCH_INDEX_URL="https://download.pytorch.org/whl/cpu"
TORCH_REASON="no NVIDIA GPU detected"
if command -v nvidia-smi &> /dev/null; then
CAP_LINES="$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader 2>/dev/null || true)"
if [[ -z "$CAP_LINES" ]]; then
CAP_LINES="$(nvidia-smi -q 2>/dev/null | awk -F: '/Compute Capability/ {print $2}')"
fi
CAP_MAX="$(echo "$CAP_LINES" | awk '{gsub(/[^0-9.]/,""); if ($0=="") next; if ($0+0>max) max=$0+0} END {if (max>0) print max}')"
if [[ -n "$CAP_MAX" ]]; then
if awk -v cap="$CAP_MAX" 'BEGIN{exit !(cap>=7.5)}'; then
TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
TORCH_REASON="compute capability ${CAP_MAX} >= 7.5"
else
TORCH_INDEX_URL="https://download.pytorch.org/whl/cu126"
TORCH_REASON="compute capability ${CAP_MAX} < 7.5"
fi
fi
fi
echo "Installing PyTorch from ${TORCH_INDEX_URL} (${TORCH_REASON})."
uv pip install --system --index-url "$TORCH_INDEX_URL" --upgrade --force-reinstall torch torchvision
uv pip install --system --index-url https://pypi.org/simple --upgrade "onnxscript>=0.7.0" "onnx-ir>=0.2.1" onnx onnxruntime timm
- name: Run Training Script
run: |
cd /opt/qmb
export PYTHONPATH="$QMB_TASK_REPO_ROOT:${PYTHONPATH:-}"
#source .venv/bin/activate
qmb train --config /opt/qmb/configs/train.yaml
- name: Collect training artifacts
if: always()
run: |
set -euo pipefail
ARTIFACT_DIR="${{ github.workspace }}/.riahub/artifacts/training"
rm -rf "$ARTIFACT_DIR"
mkdir -p "$ARTIFACT_DIR"
if [[ -d "$QMB_OUTPUT_ROOT" ]]; then
while IFS= read -r -d '' file; do
rel="${file#${QMB_OUTPUT_ROOT}/}"
if [[ "$rel" == "$file" ]]; then
rel="$(basename "$file")"
fi
mkdir -p "$ARTIFACT_DIR/$(dirname "$rel")"
cp "$file" "$ARTIFACT_DIR/$rel"
done < <(
find "$QMB_OUTPUT_ROOT" -type f \( \
-path "*/checkpoints/best.pt" -o \
-path "*/checkpoints/best.ckpt" -o \
-name "*.onnx" -o \
-path "*/evaluation/*/confusion_matrix.png" -o \
-path "*/evaluation/*/parameter_sweeps/*.png" \
\) -print0
)
else
echo "QMB output root not found: $QMB_OUTPUT_ROOT"
fi
echo "Collected training artifacts:"
find "$ARTIFACT_DIR" -type f -print | sort || true
- name: ⬆️ Upload training artifacts
if: always()
uses: actions/upload-artifact@v3
with:
name: training-artifacts
path: ${{ github.workspace }}/.riahub/artifacts/training
if-no-files-found: warn
# committed at 2026-05-28T09:37:23.399702+00:00