From 1c954eb2538b7fe380be7857a2a6753f04c6b752 Mon Sep 17 00:00:00 2001 From: MasterPhooey Date: Mon, 22 Dec 2025 19:44:09 -0600 Subject: [PATCH] piper speaking speeds --- microWakeWord_training_notebook.ipynb | 129 +++++++++++++++----------- 1 file changed, 74 insertions(+), 55 deletions(-) diff --git a/microWakeWord_training_notebook.ipynb b/microWakeWord_training_notebook.ipynb index 5fe2110..62fe736 100644 --- a/microWakeWord_training_notebook.ipynb +++ b/microWakeWord_training_notebook.ipynb @@ -232,7 +232,7 @@ }, "outputs": [], "source": [ - "# Generate a large number of wake word samples for training\n", + "# Generate a large number of wake word samples for training (with length-scale sweep)\n", "import sys, subprocess\n", "from pathlib import Path\n", "\n", @@ -240,14 +240,21 @@ "MODELS_DIR = REPO_DIR / \"models\"\n", "MODEL_NAME = \"en_US-libritts_r-medium.pt\"\n", "\n", + "MAX_SAMPLES = 50000\n", + "BATCH_SIZE = 100\n", + "\n", + "# Piper \"speed\" control via piper-sample-generator is length_scale(s)\n", + "LENGTH_SCALES = [\"0.85\", \"0.95\", \"1.00\", \"1.05\", \"1.15\"]\n", + "\n", "cmd = [\n", " sys.executable,\n", " str(REPO_DIR / \"generate_samples.py\"),\n", " TARGET_WORD,\n", " \"--model\", str(MODELS_DIR / MODEL_NAME),\n", - " \"--max-samples\", \"50000\",\n", - " \"--batch-size\", \"100\",\n", + " \"--max-samples\", str(MAX_SAMPLES),\n", + " \"--batch-size\", str(BATCH_SIZE),\n", " \"--output-dir\", \"generated_samples\",\n", + " \"--length-scales\", *LENGTH_SCALES,\n", "]\n", "\n", "print(\"→\", \" \".join(cmd))\n", @@ -742,9 +749,36 @@ }, "outputs": [], "source": [ + "# GPU memory config (set env BEFORE importing TF)\n", + "import os, sys, gc\n", + "\n", + "if \"tensorflow\" not in sys.modules:\n", + " os.environ[\"TF_FORCE_GPU_ALLOW_GROWTH\"] = \"true\" # grow as needed\n", + " os.environ[\"TF_GPU_ALLOCATOR\"] = \"cuda_malloc_async\" # modern CUDA allocator\n", + " os.environ[\"XLA_FLAGS\"] = \"--xla_gpu_cuda_data_dir=/usr/local/cuda\"\n", + " os.environ[\"TF_XLA_FLAGS\"] = \"--tf_xla_auto_jit=0\" # disable XLA JIT (more stable mem)\n", + "import tensorflow as tf\n", + "\n", + "# Per-device memory growth (belt + suspenders)\n", + "for g in tf.config.list_physical_devices(\"GPU\"):\n", + " try:\n", + " tf.config.experimental.set_memory_growth(g, True)\n", + " except Exception:\n", + " pass\n", + "print(\"GPUs:\", tf.config.list_physical_devices(\"GPU\"))\n", + "gc.collect()\n", + "\n", + "# Optional but recommended: mixed precision halves activation memory\n", + "try:\n", + " from tensorflow.keras import mixed_precision\n", + " mixed_precision.set_global_policy(\"mixed_float16\")\n", + " print(\"Mixed precision policy:\", mixed_precision.global_policy())\n", + "except Exception as e:\n", + " print(\"Mixed precision not enabled:\", e)\n", + "\n", "# --- Save a yaml config that controls the training process ---\n", "\n", - "import os, sys, yaml\n", + "import yaml\n", "\n", "config = {}\n", "\n", @@ -782,7 +816,7 @@ "with open(\"training_parameters.yaml\", \"w\") as f:\n", " yaml.dump(config, f)\n", "\n", - "print(\"✅ Wrote training_parameters.yaml (batch_size=16)\")" + "print(\"✅ Wrote training_parameters.yaml (batch_size=16) with allow_growth, cuda_malloc_async, XLA JIT OFF, mixed precision ON.\")" ] }, { @@ -795,59 +829,44 @@ "source": [ "# Train + export (GPU-friendly env + stable flags)\n", "\n", - "import os, sys, gc, runpy\n", + "import os, sys\n", + "\n", + "# --- Runtime env (inherited by the subprocess we're about to launch) ---\n", + "os.environ.setdefault(\"LD_LIBRARY_PATH\",\n", + " \"/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/lib/x86_64-linux-gnu:\" +\n", + " os.environ.get(\"LD_LIBRARY_PATH\",\"\")\n", + ")\n", + "os.environ.setdefault(\"TF_CPP_MIN_LOG_LEVEL\", \"2\") # quieter logs\n", + "os.environ.setdefault(\"TF_FORCE_GPU_ALLOW_GROWTH\", \"true\") # grow VRAM as needed\n", + "os.environ.setdefault(\"TF_GPU_ALLOCATOR\", \"cuda_malloc_async\")# modern allocator\n", + "os.environ.setdefault(\"XLA_FLAGS\", \"--xla_gpu_cuda_data_dir=/usr/local/cuda\")\n", + "os.environ.setdefault(\"TF_XLA_FLAGS\", \"--tf_xla_auto_jit=0\") # disable XLA JIT (more stable)\n", + "os.environ.setdefault(\"NVIDIA_TF32_OVERRIDE\", \"1\") # allow TF32 (perf/VRAM win on Ampere+)\n", "\n", - "if \"tensorflow\" not in sys.modules:\n", - " os.environ[\"TF_FORCE_GPU_ALLOW_GROWTH\"] = \"true\" # grow as needed\n", - " os.environ[\"TF_GPU_ALLOCATOR\"] = \"cuda_malloc_async\" # modern CUDA allocator\n", - " os.environ[\"TF_XLA_FLAGS\"] = \"--tf_xla_auto_jit=0\" # disable XLA JIT (more stable mem)\n", - " os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"2\" # quieter logs\n", - " os.environ[\"NVIDIA_TF32_OVERRIDE\"] = \"1\" # allow TF32 (perf/VRAM win on Ampere+)\n", "# If you still hit GPU memory errors, uncomment to force a smaller workspace:\n", - "# os.environ[\"TF_CUDNN_WORKSPACE_LIMIT_IN_MB\"] = \"256\"\n", + "# os.environ[\"TF_CUDNN_WORKSPACE_LIMIT_IN_MB\"] = \"256\"\n", "\n", - "import tensorflow as tf\n", - "\n", - "allow_growth = \"\"\n", - "# Per-device memory growth (belt + suspenders)\n", - "for g in tf.config.list_physical_devices(\"GPU\"):\n", - " try:\n", - " tf.config.experimental.set_memory_growth(g, True)\n", - " allow_growth = \"gpu_allow_growth, \"\n", - " except Exception:\n", - " pass\n", - "print(\"GPUs:\", tf.config.list_physical_devices(\"GPU\"))\n", - "gc.collect()\n", - "\n", - "print(f\"✅ Set environment with {allow_growth}cuda_malloc_async, xla_auto_jit=0, min_log_level=2, nvidia_tf2_override\")\n", - "print(\" Starting training...\")\n", - "\n", - "original_argv = list(sys.argv)\n", - "try:\n", - " sys.argv = [\n", - " 'model_train_eval.py',\n", - " '--training_config', 'training_parameters.yaml',\n", - " '--train', '1',\n", - " '--restore_checkpoint', '1',\n", - " '--test_tf_nonstreaming', '0',\n", - " '--test_tflite_nonstreaming', '0',\n", - " '--test_tflite_nonstreaming_quantized', '0',\n", - " '--test_tflite_streaming', '0',\n", - " '--test_tflite_streaming_quantized', '1',\n", - " '--use_weights', 'best_weights',\n", - " 'mixednet',\n", - " '--pointwise_filters', '64,64,64,64',\n", - " '--repeat_in_block', '1,1,1,1',\n", - " '--mixconv_kernel_sizes', '[5], [7,11], [9,15], [23]',\n", - " '--residual_connection', '0,0,0,0',\n", - " '--first_conv_filters', '32',\n", - " '--first_conv_kernel_size', '5',\n", - " '--stride', '2'\n", - " ]\n", - " runpy.run_module(\"microwakeword.model_train_eval\", run_name=\"__main__\", alter_sys=True)\n", - "finally:\n", - " sys.argv = original_argv\n", - "print(\"✅ Training and testing complete.\")\n" + "# --- Kick off training ---\n", + "cmd = f'''\"{sys.executable}\" -m microwakeword.model_train_eval \\\n", + " --training_config=\"training_parameters.yaml\" \\\n", + " --train 1 \\\n", + " --restore_checkpoint 1 \\\n", + " --test_tf_nonstreaming 0 \\\n", + " --test_tflite_nonstreaming 0 \\\n", + " --test_tflite_nonstreaming_quantized 0 \\\n", + " --test_tflite_streaming 0 \\\n", + " --test_tflite_streaming_quantized 1 \\\n", + " --use_weights \"best_weights\" \\\n", + " mixednet \\\n", + " --pointwise_filters \"64,64,64,64\" \\\n", + " --repeat_in_block \"1,1,1,1\" \\\n", + " --mixconv_kernel_sizes \"[5], [7,11], [9,15], [23]\" \\\n", + " --residual_connection \"0,0,0,0\" \\\n", + " --first_conv_filters 32 \\\n", + " --first_conv_kernel_size 5 \\\n", + " --stride 2'''\n", + "print(\"Running:\\n\", cmd)\n", + "!$cmd" ] }, {