tweaks

cli/wake_word_sample_trainer

@@ -139,7 +139,7 @@ training_steps:
 window_step_ms: 10
 EOF
 
-# Replace placeholders (portable)
+# Replace placeholders
 sed -i \
   -e "s|__WAKEWORD_FEATURES__|${WORK_DIR}/wake_word_samples_augmented|g" \
   -e "s|__NEG_SPEECH__|${TRAINING_DS}/negative_datasets/speech|g" \
@@ -152,7 +152,7 @@ sed -i \
 
 # Insert/remove personal block
 if [ "${HAS_PERSONAL}" = "true" ]; then
-  # Insert directly after the wakeword feature block (matches notebook: insert(1, ...))
+  # Insert directly after the wakeword feature block
   personal_block="$(cat <<EOF
 - features_dir: ${PERSONAL_FEATURES_DIR}
   penalty_weight: 1.0
@@ -165,7 +165,6 @@ EOF
 
   perl -0777 -i -pe "s#__PERSONAL_FEATURE_MARKER__#${personal_block}#g" "${YAML_PATH}"
 else
-  # Remove marker line entirely
   sed -i -e "/__PERSONAL_FEATURE_MARKER__/d" "${YAML_PATH}"
 fi
 
@@ -204,6 +203,22 @@ TRAIN_ARGS=(
   --stride 2
 )
 
+GPU_FALLBACK_MARKERS=(
+  "resourceexhaustederror"
+  "resource exhausted"
+  "oom"
+  "out of memory"
+  "cuda_error_out_of_memory"
+  "failed to allocate"
+  "cudnn"
+  "cublas"
+  "internalerror: cuda"
+  "failed call to cuinit"
+  "dst tensor is not initialized"
+  "failed copying input tensor"
+  "_eagerconst"
+)
+
 run_attempt() {
   local label="$1"
   shift
@@ -223,11 +238,11 @@ run_attempt() {
   return ${PIPESTATUS[0]}
 }
 
-DEFAULT_XLA_FLAGS="--tf_xla_auto_jit=0 --xla_gpu_unsafe_fallback_to_driver_on_ptxas_not_found --xla_gpu_cuda_data_dir=${DATA_DIR}/cuda"
-DEFAULT_XLA_RUNTIME_FLAGS="--xla_gpu_unsafe_fallback_to_driver_on_ptxas_not_found --xla_gpu_cuda_data_dir=${DATA_DIR}/cuda"
+# --------- ENV (keep compatible; DO NOT add unsupported XLA flags) ----------
 export TF_CPP_MIN_LOG_LEVEL="${TF_CPP_MIN_LOG_LEVEL:-2}"
-export TF_XLA_FLAGS="${TF_XLA_FLAGS:+${TF_XLA_FLAGS} }${DEFAULT_XLA_FLAGS}"
-export XLA_FLAGS="${XLA_FLAGS:+${XLA_FLAGS} }${DEFAULT_XLA_RUNTIME_FLAGS}"
+export TF_XLA_FLAGS="${TF_XLA_FLAGS:---tf_xla_auto_jit=0}"
+unset XLA_FLAGS
+
 export NVIDIA_TF32_OVERRIDE="${NVIDIA_TF32_OVERRIDE:-1}"
 export TF_FORCE_GPU_ALLOW_GROWTH="${TF_FORCE_GPU_ALLOW_GROWTH:-true}"
 export TF_GPU_ALLOCATOR="${TF_GPU_ALLOCATOR:-cuda_malloc_async}"
@@ -235,16 +250,37 @@ export TF_GPU_ALLOCATOR="${TF_GPU_ALLOCATOR:-cuda_malloc_async}"
 if run_attempt "Attempt 1/2: GPU training (allow_growth + cuda_malloc_async)" ; then
   echo "✅ Training complete (GPU path)."
 else
-  echo "⚠️  GPU attempt failed. Falling back to CPU."
+  echo "⚠️  GPU attempt failed. Checking whether this looks like a GPU/OOM/runtime failure…"
+
+  log_lc="$(tr '[:upper:]' '[:lower:]' < "${TRAIN_LOG}" || true)"
+  looks_like_gpu_fail="false"
+  for m in "${GPU_FALLBACK_MARKERS[@]}"; do
+    if echo "${log_lc}" | grep -qF "${m}"; then
+      looks_like_gpu_fail="true"
+      break
+    fi
+  done
+
+  if [ "${looks_like_gpu_fail}" = "true" ]; then
+    echo "↪️  Detected GPU/OOM/runtime failure markers. Falling back to CPU."
 
     export CUDA_VISIBLE_DEVICES=""
     unset TF_GPU_ALLOCATOR
+
+    # CPU attempt should not inherit GPU/XLA runtime knobs
+    unset TF_XLA_FLAGS
+    unset XLA_FLAGS
+
     if run_attempt "Attempt 2/2: CPU fallback (CUDA_VISIBLE_DEVICES='')" ; then
       echo "✅ Training complete (CPU fallback)."
     else
       echo "❌ Training failed on BOTH GPU and CPU. See: ${TRAIN_LOG}" >&2
       exit 1
     fi
+  else
+    echo "❌ Training failed (does not look GPU/OOM/runtime). See: ${TRAIN_LOG}" >&2
+    exit 1
+  fi
 fi
 
 source_path="${WORK_DIR}/trained_models/wakeword/tflite_stream_state_internal_quant/stream_state_internal_quant.tflite"