{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:53:55.082843Z",
"iopub.status.busy": "2022-10-29T19:53:55.082042Z",
"iopub.status.idle": "2022-10-29T19:53:58.489989Z",
"shell.execute_reply": "2022-10-29T19:53:58.488084Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tokenizer\r\n",
" Downloading tokenizer-3.4.2-py2.py3-none-any.whl (79 kB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m79.1/79.1 KB\u001B[0m \u001B[31m6.1 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\r\n",
"\u001B[?25hCollecting sentencepiece\r\n",
" Downloading sentencepiece-0.1.97-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m1.3/1.3 MB\u001B[0m \u001B[31m43.3 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\r\n",
"\u001B[?25hInstalling collected packages: tokenizer, sentencepiece\r\n",
"Successfully installed sentencepiece-0.1.97 tokenizer-3.4.2\r\n",
"\u001B[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001B[0m\u001B[33m\r\n",
"\u001B[0m\u001B[33mWARNING: You are using pip version 22.0.4; however, version 22.3 is available.\r\n",
"You should consider upgrading via the '/usr/bin/python3.9 -m pip install --upgrade pip' command.\u001B[0m\u001B[33m\r\n",
"\u001B[0mSat Oct 29 19:53:58 2022 \r\n",
"+-----------------------------------------------------------------------------+\r\n",
"| NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6 |\r\n",
"|-------------------------------+----------------------+----------------------+\r\n",
"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\r\n",
"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\r\n",
"| | | MIG M. |\r\n",
"|===============================+======================+======================|\r\n",
"| 0 NVIDIA GeForce ... Off | 00000000:03:00.0 On | N/A |\r\n",
"| 30% 41C P8 24W / 350W | 300MiB / 24576MiB | 1% Default |\r\n",
"| | | N/A |\r\n",
"+-------------------------------+----------------------+----------------------+\r\n",
" \r\n",
"+-----------------------------------------------------------------------------+\r\n",
"| Processes: |\r\n",
"| GPU GI CI PID Type Process name GPU Memory |\r\n",
"| ID ID Usage |\r\n",
"|=============================================================================|\r\n",
"+-----------------------------------------------------------------------------+\r\n"
]
}
],
"source": [
"! pip install tokenizer sentencepiece\n",
"! nvidia-smi"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:53:58.497762Z",
"iopub.status.busy": "2022-10-29T19:53:58.497162Z",
"iopub.status.idle": "2022-10-29T19:53:59.829844Z",
"shell.execute_reply": "2022-10-29T19:53:59.828805Z"
}
},
"outputs": [],
"source": [
"from transformers import AutoModelForSeq2SeqLM, AutoTokenizer\n",
"\n",
"import time\n",
"import torch._dynamo as torchdynamo\n",
"import torch\n",
"from kernl.model_optimization import optimize_model"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:53:59.833560Z",
"iopub.status.busy": "2022-10-29T19:53:59.833170Z",
"iopub.status.idle": "2022-10-29T19:54:13.107793Z",
"shell.execute_reply": "2022-10-29T19:54:13.106806Z"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "9eddb20b6abf4b89aed7878e55e01b35",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | 0.00/1.20k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "66579fa805ae4bb290bf71fbef80ce04",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | 0.00/242M [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "cce38eed5c56462ab22cb24d7e2de368",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | 0.00/792k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c078ab26f838421d9688f25393391eaf",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | 0.00/1.39M [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.9/dist-packages/transformers/models/t5/tokenization_t5_fast.py:156: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5.\n",
"For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`.\n",
"- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding.\n",
"- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding.\n",
"- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value.\n",
" warnings.warn(\n"
]
}
],
"source": [
"# default cache size needs to be increased to store the many graphs with generative models\n",
"torchdynamo.config.cache_size_limit = 512\n",
"\n",
"model_name = \"t5-small\"\n",
"model = AutoModelForSeq2SeqLM.from_pretrained(model_name)\n",
"model = model.eval().cuda()\n",
"\n",
"tokenizer = AutoTokenizer.from_pretrained(model_name)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:54:13.114628Z",
"iopub.status.busy": "2022-10-29T19:54:13.114179Z",
"iopub.status.idle": "2022-10-29T19:54:13.120736Z",
"shell.execute_reply": "2022-10-29T19:54:13.119879Z"
}
},
"outputs": [],
"source": [
"input_ids = tokenizer(\n",
" \"translate English to French: The house in the woods is wonderful, can we buy it ?\",\n",
" return_tensors=\"pt\",\n",
" pad_to_multiple_of=8,\n",
" padding=True,\n",
").to(\"cuda\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:54:13.124818Z",
"iopub.status.busy": "2022-10-29T19:54:13.124386Z",
"iopub.status.idle": "2022-10-29T19:54:15.815512Z",
"shell.execute_reply": "2022-10-29T19:54:15.814336Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.16655227100000047\n",
"La maison dans les bois est merveilleuse, pouvons-nous l'acheter? \n"
]
}
],
"source": [
"with torch.inference_mode(), torch.autocast(dtype=torch.float16, cache_enabled=True, device_type=\"cuda\"):\n",
" for _ in range(10):\n",
" output = model.generate(\n",
" inputs=input_ids[\"input_ids\"],\n",
" min_length=22,\n",
" max_length=22,\n",
" )\n",
" torch.cuda.synchronize()\n",
" start = time.perf_counter()\n",
" output = model.generate(\n",
" inputs=input_ids[\"input_ids\"],\n",
" min_length=22,\n",
" max_length=22,\n",
" )\n",
" torch.cuda.synchronize()\n",
" latency_baseline = time.perf_counter() - start\n",
" print(latency_baseline)\n",
" print(tokenizer.decode(output[0], skip_special_tokens=True, clean_up_tokenization_spaces=True))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:54:15.821482Z",
"iopub.status.busy": "2022-10-29T19:54:15.821263Z",
"iopub.status.idle": "2022-10-29T19:54:15.825134Z",
"shell.execute_reply": "2022-10-29T19:54:15.824575Z"
}
},
"outputs": [],
"source": [
"optimize_model(model.encoder)\n",
"optimize_model(model.decoder)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:54:15.841157Z",
"iopub.status.busy": "2022-10-29T19:54:15.840894Z",
"iopub.status.idle": "2022-10-29T19:57:20.236757Z",
"shell.execute_reply": "2022-10-29T19:57:20.235864Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
"To disable this warning, you can either:\n",
"\t- Avoid using `tokenizers` before the fork if possible\n",
"\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
"184.39008121900042\n"
]
}
],
"source": [
"# warmup (IRL, encoder and decoder should be warmed each on their own)\n",
"with torch.inference_mode(), torch.autocast(dtype=torch.float16, cache_enabled=True, device_type=\"cuda\"):\n",
" start = time.perf_counter()\n",
" model.generate(inputs=input_ids[\"input_ids\"], min_length=22, max_length=22)\n",
" print(time.perf_counter() - start)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2022-10-29T19:57:20.242205Z",
"iopub.status.busy": "2022-10-29T19:57:20.241974Z",
"iopub.status.idle": "2022-10-29T19:57:20.513069Z",
"shell.execute_reply": "2022-10-29T19:57:20.512303Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.02287006200003816\n",
"7.3x speedup\n",
"La maison dans les bois est merveilleuse, pouvons-nous l'acheter? \n"
]
}
],
"source": [
"with torch.inference_mode(), torch.autocast(dtype=torch.float16, cache_enabled=True, device_type=\"cuda\"):\n",
" for _ in range(10):\n",
" model.generate(\n",
" inputs=input_ids[\"input_ids\"],\n",
" min_length=22,\n",
" max_length=22,\n",
" )\n",
" torch.cuda.synchronize()\n",
" start = time.perf_counter()\n",
" output = model.generate(\n",
" inputs=input_ids[\"input_ids\"],\n",
" min_length=22,\n",
" max_length=22,\n",
" )\n",
" torch.cuda.synchronize()\n",
" latency_optimized = time.perf_counter() - start\n",
" print(latency_optimized)\n",
" print(f\"{latency_baseline/latency_optimized:.1f}x speedup\")\n",
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