forked from qoherent/icc-demo
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14 Commits
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9cb3f35225 |
5
.riahub/train_configs/model/model.yaml
Normal file
5
.riahub/train_configs/model/model.yaml
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@ -0,0 +1,5 @@
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source: wavesfm
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name: WavesFM Linear Probe
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task: rml
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epochs: 5
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batch_size: 2048
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@ -15,11 +15,11 @@ permissions:
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jobs:
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WavesFM-Training:
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runs-on: "ubuntu-latest"
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runs-on: "ubuntu-24.04"
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env:
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WAVESFM_TASK: "rml"
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WAVESFM_EPOCHS: "3"
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WAVESFM_BATCH_SIZE: "16"
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WAVESFM_EPOCHS: "5"
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WAVESFM_BATCH_SIZE: "2048"
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WAVESFM_OUTPUT_DIR: "/opt/wavesfm/output"
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# Single source of truth for the cloned WavesFM repo location.
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# Referenced as ${{ env.WAVESFM_REPO_DIR }} in steps. To relocate
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@ -27,6 +27,8 @@ jobs:
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# downstream step uses the env var, no hard-coded paths.
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WAVESFM_REPO_DIR: "/opt/wavesfm/repo"
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WAVESFM_ADAPTED_DATA: "/opt/wavesfm/adapted_data.h5"
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# Override model-download base URL to internal LAN IP
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# (external riahub.ai LFS endpoint is unreachable from runners).
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RIAHUB_BASE_URL: "http://192.168.0.170:3000"
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steps:
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- name: Display basic runner info
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@ -42,7 +44,6 @@ jobs:
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echo "No NVIDIA GPU available."
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fi
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- name: "Download Model (qoherent/wavesfm-base/wavesfm-v1p0.pth)"
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shell: bash
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timeout-minutes: 4
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@ -179,8 +180,7 @@ jobs:
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fi
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exit 1
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fi
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- name: "Checkout Dataset (qoherent/icc-demo/icc_canary_2026_05_28-v1.0.0.h5)"
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- name: Checkout Training Dataset
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shell: bash
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timeout-minutes: 10
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env:
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@ -210,16 +210,8 @@ jobs:
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AUTH_HEADER=""
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if [[ -n "${RIAHUB_USER:-}" && -n "${RIAHUB_TOKEN:-}" ]]; then
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AUTH_HEADER=$(printf 'Authorization: basic %s' \
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"$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
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AUTH_HEADER=$(printf 'Authorization: basic %s' "$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
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fi
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# ``sudo env GIT_TERMINAL_PROMPT=0`` propagates the env var across
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# sudo's default ``env_reset`` boundary; a bare ``sudo git`` would
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# see an empty env on most distros' default sudoers, so the
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# step-level ``env:`` block's GIT_TERMINAL_PROMPT=0 would NOT
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# actually reach git child processes. Without it, git falls back
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# to opening ``/dev/tty`` (the PTY allocated by act_runner) and
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# prompting for credentials on a 401, hanging until timeout.
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git_auth() {
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if [[ -n "$AUTH_HEADER" ]]; then
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sudo env GIT_TERMINAL_PROMPT=0 git -c "http.extraheader=$AUTH_HEADER" "$@"
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@ -227,9 +219,8 @@ jobs:
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sudo env GIT_TERMINAL_PROMPT=0 git "$@"
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fi
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}
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REPO_PATH='/qoherent/icc-demo.git'
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DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-demo/9f87fa9fe2badd314ad81379064e236ea494e89d'
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DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-demo/main'
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sudo mkdir -p "$(dirname "$DEST_ROOT")"
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if ! command -v git-lfs >/dev/null 2>&1; then
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sudo apt-get update -y
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@ -245,31 +236,16 @@ jobs:
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sudo mkdir -p "$DEST_ROOT"
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sudo git -C "$DEST_ROOT" init || continue
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sudo git -C "$DEST_ROOT" remote add origin "$REPO_URL" || continue
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# See ``_render_model_checkout`` for the rationale on skipping
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# ``git lfs install --local`` — short version: the smudge
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# filter it would register tries its own credential lookup
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# during ``git checkout FETCH_HEAD`` and hangs forever on
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# /dev/tty when the repo is internal/private. We rely on
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# the explicit ``git lfs fetch`` (with auth) +
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# ``git lfs checkout`` (local) pair below instead.
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sudo git -C "$DEST_ROOT" sparse-checkout init --no-cone || continue
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sudo git -C "$DEST_ROOT" sparse-checkout set --no-cone -- \
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'icc_canary_2026_05_28-v1.0.0.h5' || continue
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if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin '9f87fa9fe2badd314ad81379064e236ea494e89d'; then
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'datasets/icc28-train_v1.0.0.h5' || continue
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if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin 'ef0a0e430f8e5019dec52794fccab958b3a3c2b7'; then
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continue
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fi
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# See ``_render_model_checkout`` for the rationale on
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# ``GIT_LFS_SKIP_SMUDGE=1`` — short version: the runner has
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# the LFS smudge filter installed system-wide
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# (``/etc/gitconfig``), so checkout fires it and the filter's
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# credential helper hangs on /dev/tty for internal repos.
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# Skipping smudge here lets the explicit ``git lfs fetch``
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# below handle materialization with proper auth.
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if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 \
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git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
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if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
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continue
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fi
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if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='icc_canary_2026_05_28-v1.0.0.h5' --exclude=""; then
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if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='datasets/icc28-train_v1.0.0.h5' --exclude=""; then
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echo "LFS fetch failed for candidate $base, trying next" >&2
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continue
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fi
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@ -278,7 +254,7 @@ jobs:
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continue
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fi
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POINTER_FOUND=0
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_LFS_REL_PATH='icc_canary_2026_05_28-v1.0.0.h5'
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_LFS_REL_PATH='datasets/icc28-train_v1.0.0.h5'
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if [[ "$(sudo head -c 9 "$DEST_ROOT/$_LFS_REL_PATH" 2>/dev/null || true)" == "version h" ]]; then
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echo "LFS materialization left a pointer at $DEST_ROOT/$_LFS_REL_PATH for candidate $base, trying next" >&2
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POINTER_FOUND=1
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@ -292,7 +268,7 @@ jobs:
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if [[ "$MATERIALIZED" -ne 1 ]]; then
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echo "Failed to materialize dataset using base URL candidates derived from: $BASE_URL_SOURCE" >&2
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if [[ -z "$AUTH_HEADER" ]]; then
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echo " (set QMBDEMO_USER+QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
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echo " (no credentials configured: set QMBDEMO_USER and QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
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fi
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exit 1
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fi
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@ -321,7 +297,7 @@ jobs:
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# `--device cpu` from the Train step actually takes effect.
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# No-op if the line already uses args.device (idempotent).
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if [[ -f main_finetune.py ]]; then
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sed -i 's|torch\.amp\.GradScaler(device="cuda")|torch.amp.GradScaler(device=args.device, enabled=(args.device != "cpu"))|' main_finetune.py
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sed -i 's|torch\.amp\.GradScaler(device="cuda")|torch.cuda.amp.GradScaler(enabled=(args.device != "cpu"))|' main_finetune.py
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echo "Patched main_finetune.py GradScaler for CPU/GPU device parity."
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fi
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@ -358,11 +334,9 @@ jobs:
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# only when the repo is genuinely installable (has setup.py /
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# setup.cfg, or pyproject.toml with [build-system]).
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cd "$WAVESFM_REPO_DIR"
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# FAST-PATH: install CPU torch from pytorch.org/whl/cpu FIRST (~200MB).
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# This makes torch==X already-satisfied so requirements.txt does not
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# pull the 755MB manylinux wheel with bundled CUDA from PyPI default.
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# Pre-install CPU torch + numpy<2 to make requirements.txt see them already-satisfied (saves ~600MB).
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# torch 2.2.2 has the NumPy 1.x ABI and crashes if numpy 2.x is installed.
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$PIP install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple "numpy<2" "torch==2.2.2" torchvision
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# Also ensure numpy<2 is pinned for the requirements.txt install below
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$PIP install --upgrade --force-reinstall "numpy<2"
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INSTALLED_SOMETHING=0
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if [[ -f requirements.txt ]]; then
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@ -380,9 +354,7 @@ jobs:
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exit 1
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fi
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$PIP install h5py scipy
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# After requirements.txt, force numpy back to <2 (torch 2.2.2 has
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# NumPy 1.x ABI; transitive deps in requirements.txt would
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# otherwise leave numpy 2.x in place and crash at runtime).
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# Force numpy<2 again (requirements.txt may have bumped it via transitive deps).
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$PIP install --upgrade --force-reinstall "numpy<2"
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TORCH_INDEX_URL="https://download.pytorch.org/whl/cpu"
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TORCH_REASON="no NVIDIA GPU detected"
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@ -403,8 +375,8 @@ jobs:
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fi
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fi
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echo "Installing PyTorch from ${TORCH_INDEX_URL} (${TORCH_REASON})."
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# torch was pre-installed at the top of this step; no force-reinstall needed.
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echo "Skipping torch force-reinstall (already installed at step head): $TORCH_INDEX_URL"
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# torch pre-installed at step head; force-reinstall disabled to avoid 755MB redownload
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echo "Skipping torch force-reinstall ($TORCH_INDEX_URL)"
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- name: Find and adapt dataset
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shell: bash
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@ -500,4 +472,4 @@ jobs:
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${{ env.WAVESFM_OUTPUT_DIR }}/best.pth
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${{ env.WAVESFM_OUTPUT_DIR }}/log.txt
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if-no-files-found: warn
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# committed at 2026-05-28T06:39:26.910514+00:00
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# committed at 2026-05-28T15:52:05.981554+00:00
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BIN
datasets/example.h5
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datasets/example.h5
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datasets/icc28-test_v1.0.0.h5
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datasets/icc28-test_v1.0.0.h5
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datasets/icc28-train_v1.0.0.h5
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datasets/icc28-train_v1.0.0.h5
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good/rec_USRP_2GHz_2026-05-26_18-01-07_866ab90.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-01-07_866ab90.sigmf-meta
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good/rec_USRP_2GHz_2026-05-26_18-01-21_4bda293.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-01-21_4bda293__seg000__t0-1.sigmf-meta
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good/rec_USRP_2GHz_2026-05-26_18-01-21_4bda293__seg001__t4-8.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-01-21_4bda293__seg001__t4-8.sigmf-meta
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good/rec_USRP_2GHz_2026-05-26_18-01-21_4bda293__seg002__t9-10.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-01-36_b66ade6.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-02-00_588b7c3.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-02-00_588b7c3.sigmf-data
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good/rec_USRP_2GHz_2026-05-26_18-02-00_588b7c3.sigmf-meta
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good/rec_USRP_2GHz_2026-05-26_18-02-13_2ea315a.sigmf-data
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good/rec_USRP_72MHz_2026-05-26_18-04-18_7e00cc0.sigmf-meta
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good/rec_USRP_72MHz_2026-05-26_18-04-47_68cbc90.sigmf-data
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good/rec_USRP_72MHz_2026-05-26_18-04-47_68cbc90.sigmf-meta
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good/rec_USRP_72MHz_2026-05-26_18-05-04_7fa9e62.sigmf-data
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good/rec_USRP_72MHz_2026-05-26_18-05-14_4c3adad.sigmf-meta
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good/rec_USRP_72MHz_2026-05-26_18-05-26_fecd509.sigmf-data
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BIN
good/rec_USRP_72MHz_2026-05-26_18-05-26_fecd509.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_72MHz_2026-05-26_18-05-26_fecd509.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_72MHz_2026-05-26_18-05-39_adf2875.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_72MHz_2026-05-26_18-05-39_adf2875.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_72MHz_2026-05-26_18-05-39_adf2875.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_72MHz_2026-05-26_18-05-39_adf2875.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-14_1c33118.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-14_1c33118.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-14_1c33118.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-14_1c33118.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-33_60e6691.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-33_60e6691.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-33_60e6691.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-33_60e6691.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-40_03119f0.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-40_03119f0.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-40_03119f0.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-40_03119f0.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-49_20f39bc.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-49_20f39bc.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-49_20f39bc.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-57-49_20f39bc.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-58-01_78d9c6c.sigmf-data
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-58-01_78d9c6c.sigmf-data
(Stored with Git LFS)
Normal file
Binary file not shown.
BIN
good/rec_USRP_97MHz_2026-05-26_17-58-01_78d9c6c.sigmf-meta
(Stored with Git LFS)
Normal file
BIN
good/rec_USRP_97MHz_2026-05-26_17-58-01_78d9c6c.sigmf-meta
(Stored with Git LFS)
Normal file
Binary file not shown.
Loading…
Reference in New Issue
Block a user