From f20693096a01e5ac225f1ff6280a47961d9b6a8f Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Wed, 15 Nov 2023 01:02:42 +0000 Subject: [PATCH 01/13] Add script and modify plot scripts for one example --- .../mii/plot_effective_throughput.py | 33 +++++++++++----- benchmarks/inference/mii/plot_th_lat.py | 38 +++++++++++++------ benchmarks/inference/mii/run_example.sh | 21 ++++++++++ 3 files changed, 71 insertions(+), 21 deletions(-) create mode 100644 benchmarks/inference/mii/run_example.sh diff --git a/benchmarks/inference/mii/plot_effective_throughput.py b/benchmarks/inference/mii/plot_effective_throughput.py index 357fc7f9e..8d786565d 100644 --- a/benchmarks/inference/mii/plot_effective_throughput.py +++ b/benchmarks/inference/mii/plot_effective_throughput.py @@ -12,9 +12,13 @@ SLA_GEN_TOKENS_PER_SEC = [1, 2, 3, 4, 6, 8] EMA_SPAN = 16 -tp_sizes = { +tp_sizes_all = { "7b": [1], - "70b": [4, 8], + "70b": [4, 8] +} + +tp_sizes_test = { + "7b": [1] } prompt_gen_pairs = [ @@ -27,6 +31,8 @@ def get_args(): parser = argparse.ArgumentParser() + parser.add_argument("--test", action="store_true") + parser.add_argument("--no_vllm", action="store_true") parser.add_argument("--log_dir", type=Path, default=".") parser.add_argument("--out_dir", type=Path, default="charts/goodtput") args = parser.parse_args() @@ -96,7 +102,8 @@ def display_results(model_size, tp, bs, sla_token_gen, prompt, gen, log_dir, out print(f"model: {model_size} Prompt: {prompt}, Generation: {gen}, TP: {tp} sla_token_gen: {sla_token_gen}") mii_file_pattern = f"{log_dir}/logs.llama2-{model_size}-tp{tp}-b{bs}/llama2-{model_size}-tp{tp}-b{bs}_c*_p{prompt}_g{gen}.json" - vllm_file_pattern = f"{log_dir}/logs.vllm-llama2-{model_size}-tp{tp}/vllm-llama2-{model_size}-tp{tp}_c*_p{prompt}_g{gen}.json" + if not args.no_vllm: + vllm_file_pattern = f"{log_dir}/logs.vllm-llama2-{model_size}-tp{tp}/vllm-llama2-{model_size}-tp{tp}_c*_p{prompt}_g{gen}.json" validate_funcs = [ (validate_token_cum_latency_SLA, (), "cum"), @@ -109,8 +116,9 @@ def display_results(model_size, tp, bs, sla_token_gen, prompt, gen, log_dir, out client_num_list = sorted(list(mii_goodputs.keys())) mii_goodputs_list = [mii_goodputs[client_num] for client_num in client_num_list] - vllm_goodputs, vllm_good_ratios = extract_values(vllm_file_pattern, sla_token_gen, f) - vllm_goodputs_list = [vllm_goodputs[client_num] for client_num in client_num_list] + if not args.no_vllm: + vllm_goodputs, vllm_good_ratios = extract_values(vllm_file_pattern, sla_token_gen, f) + vllm_goodputs_list = [vllm_goodputs[client_num] for client_num in client_num_list] # print(f"MII {mii_goodputs_list} ratio={mii_good_ratios}") # print(f"vLLM {vllm_goodputs_list} ratio={vllm_good_ratios}") @@ -118,16 +126,18 @@ def display_results(model_size, tp, bs, sla_token_gen, prompt, gen, log_dir, out # Plotting the scatter plot plt.figure(figsize=(7, 4)) plt.scatter(client_num_list, mii_goodputs_list, label=f"DeepSpeed-FastGen", marker="o", color="blue") - plt.scatter(client_num_list, vllm_goodputs_list, label=f"vLLM", marker="x", color="orange") + if not args.no_vllm: + plt.scatter(client_num_list, vllm_goodputs_list, label=f"vLLM", marker="x", color="orange") fit_x_list = np.arange(min(client_num_list), max(client_num_list), 0.1) mii_fit_model = np.polyfit(client_num_list, mii_goodputs_list, 4) mii_model_fn = np.poly1d(mii_fit_model) plt.plot(fit_x_list, mii_model_fn(fit_x_list), color="blue", alpha=0.5, linestyle="--") - vllm_fit_model = np.polyfit(client_num_list, vllm_goodputs_list, 4) - vllm_model_fn = np.poly1d(vllm_fit_model) - plt.plot(fit_x_list, vllm_model_fn(fit_x_list), color="orange", alpha=0.5, linestyle="--") + if not args.no_vllm: + vllm_fit_model = np.polyfit(client_num_list, vllm_goodputs_list, 4) + vllm_model_fn = np.poly1d(vllm_fit_model) + plt.plot(fit_x_list, vllm_model_fn(fit_x_list), color="orange", alpha=0.5, linestyle="--") title = f"Effective throughput (SLA prompt: {SLA_PROMPT_TOKENS_PER_SEC} tokens/s, generation: {sla_token_gen} tokens/s)\n" \ + f'Llama 2 {model_size.upper()} Prompt: {prompt}, Generation: {gen}, TP: {tp}' @@ -148,6 +158,11 @@ def display_results(model_size, tp, bs, sla_token_gen, prompt, gen, log_dir, out if __name__ == "__main__": args = get_args() + if args.test: + tp_sizes = tp_sizes_test + else: + tp_sizes = tp_sizes_all + for model_size, tps in tp_sizes.items(): for tp in tps: for prompt, gen in prompt_gen_pairs: diff --git a/benchmarks/inference/mii/plot_th_lat.py b/benchmarks/inference/mii/plot_th_lat.py index 8ede6e818..1af7fdebb 100644 --- a/benchmarks/inference/mii/plot_th_lat.py +++ b/benchmarks/inference/mii/plot_th_lat.py @@ -3,12 +3,16 @@ import argparse from pathlib import Path import numpy as np - +import pdb from postprocess_results import read_json, get_summary bs = 768 -tp_sizes = { +tp_sizes_test = { + "7b": [1] +} + +tp_sizes_all = { "7b": [1], "70b": [4, 8], } @@ -22,7 +26,9 @@ def get_args(): parser = argparse.ArgumentParser() - parser.add_argument("--log_dir", type=Path, default="logs.release") + parser.add_argument("--test", action="store_true") + parser.add_argument("--no_vllm", action="store_true") + parser.add_argument("--log_dir", type=Path, default=".") parser.add_argument("--out_dir", type=Path, default="charts/throughput_latency") args = parser.parse_args() return args @@ -56,19 +62,22 @@ def output_charts(model_size, tp, bs, prompt, gen, log_dir, out_dir): out_dir.mkdir(parents=True, exist_ok=True) mii_file_pattern = f"{log_dir}/logs.llama2-{model_size}-tp{tp}-b{bs}/llama2-{model_size}-tp{tp}-b{bs}_c*_p{prompt}_g{gen}.json" - vllm_file_pattern = f"{log_dir}/logs.vllm-llama2-{model_size}-tp{tp}/vllm-llama2-{model_size}-tp{tp}_c*_p{prompt}_g{gen}.json" + if not args.no_vllm: + vllm_file_pattern = f"{log_dir}/logs.vllm-llama2-{model_size}-tp{tp}/vllm-llama2-{model_size}-tp{tp}_c*_p{prompt}_g{gen}.json" _, mii_throughputs, mii_latencies = extract_values(mii_file_pattern) - _, vllm_throughputs, vllm_latencies = extract_values(vllm_file_pattern) + if not args.no_vllm: + _, vllm_throughputs, vllm_latencies = extract_values(vllm_file_pattern) # Plotting the scatter plot plt.figure(figsize=(6, 4)) - - plt.scatter(vllm_throughputs, vllm_latencies, label=f"vLLM", marker="x", color="orange") - fit_vllm_x_list = np.arange(min(vllm_throughputs), max(vllm_throughputs), 0.01) - vllm_vllm_model = np.polyfit(vllm_throughputs, vllm_latencies, 3) - vllm_model_fn = np.poly1d(vllm_vllm_model) - plt.plot(fit_vllm_x_list, vllm_model_fn(fit_vllm_x_list), color="orange", alpha=0.5, linestyle="--") + + if not args.no_vllm: + plt.scatter(vllm_throughputs, vllm_latencies, label=f"vLLM", marker="x", color="orange") + fit_vllm_x_list = np.arange(min(vllm_throughputs), max(vllm_throughputs), 0.01) + vllm_vllm_model = np.polyfit(vllm_throughputs, vllm_latencies, 3) + vllm_model_fn = np.poly1d(vllm_vllm_model) + plt.plot(fit_vllm_x_list, vllm_model_fn(fit_vllm_x_list), color="orange", alpha=0.5, linestyle="--") plt.scatter(mii_throughputs, mii_latencies, label=f"DeepSpeed FastGen", marker="o", color="blue") fit_mii_x_list = np.arange(min(mii_throughputs), max(mii_throughputs), 0.01) @@ -90,7 +99,12 @@ def output_charts(model_size, tp, bs, prompt, gen, log_dir, out_dir): if __name__ == "__main__": args = get_args() - + if args.test: + tp_sizes = tp_sizes_test + else: + print("No test") + tp_sizes = tp_sizes_all + for model_size, tps in tp_sizes.items(): for tp in tps: for prompt, gen in prompt_gen_pairs: diff --git a/benchmarks/inference/mii/run_example.sh b/benchmarks/inference/mii/run_example.sh new file mode 100644 index 000000000..a81cc6fa8 --- /dev/null +++ b/benchmarks/inference/mii/run_example.sh @@ -0,0 +1,21 @@ +Run the code + +RAGGED_BATCH_SIZE=768 +PARAM_SIZES=(7b) +DEPLOYMENT_NAME=llama2-7b-tp1-b768 +python server.py --model_name meta-llama/Llama-2-7b-hf -d llama2-7b-tp1-b768 -m 1 -b 768 start + +DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=2600 MAX_NEW_TOKENS=60 bash ./run_benchmark_client.sh +DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=2600 MAX_NEW_TOKENS=128 bash ./run_benchmark_client.sh +DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=1200 MAX_NEW_TOKENS=60 bash ./run_benchmark_client.sh +DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=1200 MAX_NEW_TOKENS=128 bash ./run_benchmark_client.sh + +echo "Stopping server" +python server.py -d ${DEPLOYMENT_NAME} stop +sleep 120 + +### Plots +python plot_th_lat.py --log_dir . --test --no_vllm +python plot_effective_throughput.py --log_dir . --test --no_vllm + +echo "Find the plots in the charts directory and the logs inside logs.llama2-7b-tp1-b768" From 02a658f3ca225ed27f76c539ed94ec57786069d4 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Wed, 15 Nov 2023 01:34:06 +0000 Subject: [PATCH 02/13] Remove postprocess config to match the new version of MII --- .../inference/mii/run_benchmark_client.py | 23 ++----------------- 1 file changed, 2 insertions(+), 21 deletions(-) diff --git a/benchmarks/inference/mii/run_benchmark_client.py b/benchmarks/inference/mii/run_benchmark_client.py index 77377a93a..52fc0da50 100644 --- a/benchmarks/inference/mii/run_benchmark_client.py +++ b/benchmarks/inference/mii/run_benchmark_client.py @@ -80,35 +80,16 @@ def callback(response): token_gen_time.append(time_now - time_last_token) time_last_token = time_now - postprocess_config = { - "logit_processor": { - # "name": "TopP", - # "args": { - # "top_p": 0.9 - # } - "name": "Temperature", - "args": { - "temperature": 0.9 - } - }, - "sampler": { - "name": "Logits" - }, - "stop_criterion": { - "name": "EosGeneration" - } - } - time_last_token = start_time = time.time() token_gen_time = [] if stream: output_tokens = [] client.generate( - input_tokens, max_new_tokens=max_new_tokens, postprocess_config=postprocess_config, + input_tokens, max_new_tokens=max_new_tokens, streaming_fn=callback) else: result = client.generate( - input_tokens, max_new_tokens=max_new_tokens, postprocess_config=postprocess_config) + input_tokens, max_new_tokens=max_new_tokens) output_tokens = result.response[0] return ResponseDetails( From 329f3dc008a322dcafb098df5d8714731d72660f Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Wed, 15 Nov 2023 01:41:13 +0000 Subject: [PATCH 03/13] Adding the example to the README --- benchmarks/inference/mii/README.md | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index f9a825daa..21f4883a9 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -11,7 +11,7 @@ python server.py [options] start Use the -h option to view all available options. To stop the server, use this command: -```bash +```bash python server.py stop ``` @@ -30,3 +30,18 @@ The scripts mentioned below were used for generating the plots featured in our b - `plot_th_lat.py`: This script generates charts for throughput and latency across different model sizes and client counts. - `plot_effective_throughput.py`: Use this to chart effective throughput. - `plot_latency_percentile.py`: This script will plot the 50th, 90th, and 95th percentile latencies. + +## Running an End-to-End Example + +To quickly experience the end-to-end process of running our benchmark and generating plots, you can use the `run_example.sh` Bash file. This script is designed to execute the benchmark with a specific configuration, providing a hassle-free way to observe the performance under defined parameters. + +### Configuration Details: + +- **Parameter Size:** 7 billion +- **Tensor Parallelism:** 1 +- **Max New Tokens:** 60, 128 +- **Prompt Length:** 1200, 2600 + +```bash +bash run_example.sh +``` \ No newline at end of file From e78a9ec0a8ee445383692171099043f1503006b6 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Wed, 15 Nov 2023 23:16:38 +0000 Subject: [PATCH 04/13] Adding the charts --- ...llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png | Bin 0 -> 35807 bytes ...ama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png | Bin 0 -> 35807 bytes ..._llama7b_SLAp512g1_tp1_b768_p1200g60_cum.png | Bin 0 -> 37209 bytes ...lama7b_SLAp512g1_tp1_b768_p1200g60_ema16.png | Bin 0 -> 37209 bytes ...llama7b_SLAp512g1_tp1_b768_p2600g128_cum.png | Bin 0 -> 39247 bytes ...ama7b_SLAp512g1_tp1_b768_p2600g128_ema16.png | Bin 0 -> 39247 bytes 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z*oAP|_Tph;(1!qazhLCsob|ftK=~VITaZm*8yFn8QUVGiCLFkDh!z;7O;UECP&@Nc zu1vz4hPv7ktR7+~L4l_iWxrMn4l($B$_Ou~Y}jqcxB}u8Ia1_mCxvO0nEG;W%AMrQB;7?3oDD=Cf^G-`jlc98 zU0;Mu{8&h8Lqc@@hmU+|!R(VG3j{&sKuy|@l|B*7`Zt}gm8HRFv4s{s)hMAXjOw^535UA}*GI!BxT^NICIqyFK()MTs zyO->1DDnuIeQoA+>Ug{w84IfRA`LFc4tJuGMn Date: Wed, 15 Nov 2023 23:31:26 +0000 Subject: [PATCH 05/13] Adds charts and GPU info --- benchmarks/inference/mii/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index 21f4883a9..c2302c380 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -41,6 +41,7 @@ To quickly experience the end-to-end process of running our benchmark and genera - **Tensor Parallelism:** 1 - **Max New Tokens:** 60, 128 - **Prompt Length:** 1200, 2600 +- **GPU:** NVIDIA A6000 ```bash bash run_example.sh From 356eae6d68c9eafe8ca457412159d0c7dbd23253 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Wed, 15 Nov 2023 23:48:03 +0000 Subject: [PATCH 06/13] Rename charts directory and mention it in the README --- benchmarks/inference/mii/README.md | 2 +- ...put_llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png | Bin ...t_llama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png | Bin ...dput_llama7b_SLAp512g1_tp1_b768_p1200g60_cum.png | Bin ...ut_llama7b_SLAp512g1_tp1_b768_p1200g60_ema16.png | Bin ...put_llama7b_SLAp512g1_tp1_b768_p2600g128_cum.png | Bin ...t_llama7b_SLAp512g1_tp1_b768_p2600g128_ema16.png | Bin ...dput_llama7b_SLAp512g1_tp1_b768_p2600g60_cum.png | Bin ...ut_llama7b_SLAp512g1_tp1_b768_p2600g60_ema16.png | Bin ...put_llama7b_SLAp512g2_tp1_b768_p1200g128_cum.png | Bin ...t_llama7b_SLAp512g2_tp1_b768_p1200g128_ema16.png | Bin ...dput_llama7b_SLAp512g2_tp1_b768_p1200g60_cum.png | Bin ...ut_llama7b_SLAp512g2_tp1_b768_p1200g60_ema16.png | Bin ...put_llama7b_SLAp512g2_tp1_b768_p2600g128_cum.png | Bin ...t_llama7b_SLAp512g2_tp1_b768_p2600g128_ema16.png | Bin 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(100%) rename benchmarks/inference/mii/{charts => charts_example}/throughput_latency/th_lat_curve_llama7b_tp1_p2600g60.png (100%) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index c2302c380..8a721db1d 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -33,7 +33,7 @@ The scripts mentioned below were used for generating the plots featured in our b ## Running an End-to-End Example -To quickly experience the end-to-end process of running our benchmark and generating plots, you can use the `run_example.sh` Bash file. This script is designed to execute the benchmark with a specific configuration, providing a hassle-free way to observe the performance under defined parameters. +To quickly experience the end-to-end process of running our benchmark and generating plots, you can use the `run_example.sh` Bash file. This script is designed to execute the benchmark with a specific configuration, providing a hassle-free way to observe the performance under defined parameters. The resulting plots will be saved in the charts directory. We have also included these plots in the chart_example directory as a reference. ### Configuration Details: diff --git a/benchmarks/inference/mii/charts/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png b/benchmarks/inference/mii/charts_example/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png similarity index 100% rename from benchmarks/inference/mii/charts/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png rename to benchmarks/inference/mii/charts_example/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png diff --git a/benchmarks/inference/mii/charts/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png b/benchmarks/inference/mii/charts_example/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png similarity index 100% rename from benchmarks/inference/mii/charts/goodtput/goodput_llama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png rename to 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a/benchmarks/inference/mii/charts/throughput_latency/th_lat_curve_llama7b_tp1_p2600g128.png b/benchmarks/inference/mii/charts_example/throughput_latency/th_lat_curve_llama7b_tp1_p2600g128.png similarity index 100% rename from benchmarks/inference/mii/charts/throughput_latency/th_lat_curve_llama7b_tp1_p2600g128.png rename to benchmarks/inference/mii/charts_example/throughput_latency/th_lat_curve_llama7b_tp1_p2600g128.png diff --git a/benchmarks/inference/mii/charts/throughput_latency/th_lat_curve_llama7b_tp1_p2600g60.png b/benchmarks/inference/mii/charts_example/throughput_latency/th_lat_curve_llama7b_tp1_p2600g60.png similarity index 100% rename from benchmarks/inference/mii/charts/throughput_latency/th_lat_curve_llama7b_tp1_p2600g60.png rename to benchmarks/inference/mii/charts_example/throughput_latency/th_lat_curve_llama7b_tp1_p2600g60.png From 0950466fcf46cfba16a0745bb2c0fbc6d4e99432 Mon Sep 17 00:00:00 2001 From: Ammar Ahmad Awan Date: Wed, 15 Nov 2023 19:07:37 -0600 Subject: [PATCH 07/13] Update run_example.sh --- benchmarks/inference/mii/run_example.sh | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/benchmarks/inference/mii/run_example.sh b/benchmarks/inference/mii/run_example.sh index a81cc6fa8..affab14ab 100644 --- a/benchmarks/inference/mii/run_example.sh +++ b/benchmarks/inference/mii/run_example.sh @@ -1,20 +1,19 @@ -Run the code +# Run the code RAGGED_BATCH_SIZE=768 PARAM_SIZES=(7b) DEPLOYMENT_NAME=llama2-7b-tp1-b768 python server.py --model_name meta-llama/Llama-2-7b-hf -d llama2-7b-tp1-b768 -m 1 -b 768 start +# This command will run the client with 60 generation steps and input prompt length of 2600 DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=2600 MAX_NEW_TOKENS=60 bash ./run_benchmark_client.sh -DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=2600 MAX_NEW_TOKENS=128 bash ./run_benchmark_client.sh -DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=1200 MAX_NEW_TOKENS=60 bash ./run_benchmark_client.sh -DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=1200 MAX_NEW_TOKENS=128 bash ./run_benchmark_client.sh +# Stop the server echo "Stopping server" python server.py -d ${DEPLOYMENT_NAME} stop sleep 120 -### Plots +### Gernerate the plots python plot_th_lat.py --log_dir . --test --no_vllm python plot_effective_throughput.py --log_dir . --test --no_vllm From b9c0053f4005321b73712e294d7f43bf7967761d Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Thu, 16 Nov 2023 02:06:49 +0000 Subject: [PATCH 08/13] Add the plot to the README and fix the README removing extra configs --- .../inference/mii/A6000_benchmarks_example.pdf | Bin 0 -> 65392 bytes benchmarks/inference/mii/README.md | 12 +++++------- ..._llama7b_SLAp512g4_tp1_b768_p2600g60_cum.png | Bin ...llama7b_SLAp512g1_tp1_b768_p1200g128_cum.png | Bin 35807 -> 0 bytes ...ama7b_SLAp512g1_tp1_b768_p1200g128_ema16.png | Bin 35807 -> 0 bytes ..._llama7b_SLAp512g1_tp1_b768_p1200g60_cum.png | Bin 37209 -> 0 bytes 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This script is designed to execute the benchmark with a specific configuration, providing a hassle-free way to observe the performance under defined parameters. The resulting plots will be saved in the charts directory. We have also included these plots in the chart_example directory as a reference. +To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The following plots will be generated in the charts directory. These plots show the performance for the configuration below as depicted in figure 8 of our [blog post](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms) -### Configuration Details: +

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z>=6k46tzOm;W`mgiy<8#g_frp-}S)xQmfXiF>`c_0W!5U`#=6IK{({gym>CiJ(dqe@JwroLVW zml(BPm9ymAId0pFDZOynkQXQzI=AcYQ68b&*+T8CS1L zkzUgK*V*zoZ^7?lPIV!(l?}!Lwh7OiNCHK!GlV#sohq=WEljrut4I>x$v%1}U(TiZh>&J~8Gao0oq;1z)?ADk+(uF(gOl#=2ixF)nKN!1b}H0+Xy zJp-AD!o#-i*ocfYIhpQn;+Pu?bnAW`h64ZjeZ{S0p0iWCzcq0u59w+G6V)WU{0+k9 z$?4wnet$=*9EyKu%K${7a>)6;$s>61N{`)@-XnhI;+FvE;zRFsI?q12jFz?bn*UeZ g{D0Mf|HZp(_rnjBjnQXtcq6rY=U(kBE&A#I0O5+>RsaA1 From 9549b8b7a909d5d4378f700f4c4f80be81b05c45 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Thu, 16 Nov 2023 02:12:44 +0000 Subject: [PATCH 09/13] Fixing the readme and replacing the image --- benchmarks/inference/mii/README.md | 6 +++--- ..._llama7b_SLAp512g4_tp1_b768_p2600g60_cum.png | Bin 41910 -> 0 bytes .../th_lat_curve_llama7b_tp1_p2600g60.png | Bin 31887 -> 0 bytes 3 files changed, 3 insertions(+), 3 deletions(-) delete mode 100644 benchmarks/inference/mii/charts_example/goodput_llama7b_SLAp512g4_tp1_b768_p2600g60_cum.png delete mode 100644 benchmarks/inference/mii/charts_example/th_lat_curve_llama7b_tp1_p2600g60.png diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index 97589b5c7..545df23bc 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -33,12 +33,12 @@ The scripts mentioned below were used for generating the plots featured in our b ## Running an End-to-End Example -To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The following plots will be generated in the charts directory. These plots show the performance for the configuration below as depicted in figure 8 of our [blog post](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms) +To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance for a specific configuration as depicted in figure 8 of our blog [post](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms)

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z5J~}OC;e_Fq5t2Hfb0LyZ7L<8@$K(DDy=Q>f`9xt9F)UEKoHhXm}M5kWp_%jAsdlr z631*vm^k@`$UwkYpRkJIVnZfi$L24Nx;{CD@CkPwroh={NV6YiV8J`-cw{*B4y=VwA< z5Lv?g`|UHNFvOnz_L-Q(znm*1CH_)P2{J`?|k&m{i!Go;|Zeg-rA=lc*9L<#@> zc|}o36bS7f&kLX7qJMvV=IL&Uak6!%B!dR6J4*od|Fzujh_=Z>6-qC~{RDaqK_ wluxKolKmxnf|O+c7ltMP?yxu0_J{;bKr2816#jw<`}>$hkV3FHw#WSc0B`hEG5`Po diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index 545df23bc..8bebfa40c 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -36,7 +36,7 @@ The scripts mentioned below were used for generating the plots featured in our b To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance for a specific configuration as depicted in figure 8 of our blog [post](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms)
-
+
*Figure 1: Throughput-latency curve and effective throughput of Llama 2 7b using A6000. Runs the client with 60 generation steps and input prompt length of 2600.*
From 41245d85b3819a9efc0d2ceb2b4cd16cc8e6db81 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Thu, 16 Nov 2023 02:19:07 +0000 Subject: [PATCH 11/13] typo --- benchmarks/inference/mii/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index 8bebfa40c..eff77ba75 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -39,7 +39,7 @@ To quickly experience the end-to-end process of running our benchmark and gettin
*Figure 1: Throughput-latency curve and effective throughput of Llama 2 7b using A6000. Runs the client with 60 generation steps and input prompt length of 2600.*
- + ```bash bash run_example.sh From aeb59dc159e1cbedb4efe83920898dd82b409b65 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Thu, 16 Nov 2023 02:23:26 +0000 Subject: [PATCH 12/13] Remaining changes --- benchmarks/inference/mii/README.md | 4 ++-- benchmarks/inference/mii/plot_effective_throughput.py | 7 ++++++- benchmarks/inference/mii/plot_th_lat.py | 10 +++++++--- benchmarks/inference/mii/run_example.sh | 7 +++---- 4 files changed, 18 insertions(+), 10 deletions(-) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index eff77ba75..ba35e579e 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -33,10 +33,10 @@ The scripts mentioned below were used for generating the plots featured in our b ## Running an End-to-End Example -To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance for a specific configuration as depicted in figure 8 of our blog [post](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms) +To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance for a specific configuration as depicted in figure 8 of our blog [post.](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms)
-
+
*Figure 1: Throughput-latency curve and effective throughput of Llama 2 7b using A6000. Runs the client with 60 generation steps and input prompt length of 2600.*
diff --git a/benchmarks/inference/mii/plot_effective_throughput.py b/benchmarks/inference/mii/plot_effective_throughput.py index 8d786565d..350c269c3 100644 --- a/benchmarks/inference/mii/plot_effective_throughput.py +++ b/benchmarks/inference/mii/plot_effective_throughput.py @@ -21,13 +21,16 @@ "7b": [1] } -prompt_gen_pairs = [ +prompt_gen_pairs_all = [ (1200, 60), (1200, 128), (2600, 60), (2600, 128), ] +prompt_gen_pairs_test = [ + (2600, 60) +] def get_args(): parser = argparse.ArgumentParser() @@ -160,8 +163,10 @@ def display_results(model_size, tp, bs, sla_token_gen, prompt, gen, log_dir, out if args.test: tp_sizes = tp_sizes_test + prompt_gen_pairs = prompt_gen_pairs_test else: tp_sizes = tp_sizes_all + prompt_gen_pairs = prompt_gen_pairs_all for model_size, tps in tp_sizes.items(): for tp in tps: diff --git a/benchmarks/inference/mii/plot_th_lat.py b/benchmarks/inference/mii/plot_th_lat.py index 1af7fdebb..e99dc5a3e 100644 --- a/benchmarks/inference/mii/plot_th_lat.py +++ b/benchmarks/inference/mii/plot_th_lat.py @@ -17,7 +17,11 @@ "70b": [4, 8], } -prompt_gen_pairs = [ +prompt_gen_pairs_test = [ + (2600, 60) +] + +prompt_gen_pairs_all = [ (1200, 60), (1200, 128), (2600, 60), @@ -91,7 +95,6 @@ def output_charts(model_size, tp, bs, prompt, gen, log_dir, out_dir): plt.legend() plt.grid(True) plt.tight_layout() - # plt.show() out_file = out_dir / f"th_lat_curve_llama{model_size}_tp{tp}_p{prompt}g{gen}.png" print(f"Saving {out_file}") plt.savefig(out_file) @@ -101,9 +104,10 @@ def output_charts(model_size, tp, bs, prompt, gen, log_dir, out_dir): args = get_args() if args.test: tp_sizes = tp_sizes_test + prompt_gen_pairs = prompt_gen_pairs_test else: - print("No test") tp_sizes = tp_sizes_all + prompt_gen_pairs = prompt_gen_pairs_test_all for model_size, tps in tp_sizes.items(): for tp in tps: diff --git a/benchmarks/inference/mii/run_example.sh b/benchmarks/inference/mii/run_example.sh index affab14ab..ece8393ed 100644 --- a/benchmarks/inference/mii/run_example.sh +++ b/benchmarks/inference/mii/run_example.sh @@ -1,14 +1,13 @@ -# Run the code - +### Run the server RAGGED_BATCH_SIZE=768 PARAM_SIZES=(7b) DEPLOYMENT_NAME=llama2-7b-tp1-b768 python server.py --model_name meta-llama/Llama-2-7b-hf -d llama2-7b-tp1-b768 -m 1 -b 768 start -# This command will run the client with 60 generation steps and input prompt length of 2600 +### This command will run the client with 60 generation steps and input prompt length of 2600 DEPLOYMENT_NAME=${DEPLOYMENT_NAME} PROMPT_LENGTH=2600 MAX_NEW_TOKENS=60 bash ./run_benchmark_client.sh -# Stop the server +### Stop the server echo "Stopping server" python server.py -d ${DEPLOYMENT_NAME} stop sleep 120 From e187f71d31ede3c074719f8acc88e282e2bd84b1 Mon Sep 17 00:00:00 2001 From: Pareesa Golnari Date: Thu, 16 Nov 2023 02:25:48 +0000 Subject: [PATCH 13/13] Small change in README --- benchmarks/inference/mii/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/benchmarks/inference/mii/README.md b/benchmarks/inference/mii/README.md index ba35e579e..d9e475cdb 100644 --- a/benchmarks/inference/mii/README.md +++ b/benchmarks/inference/mii/README.md @@ -33,14 +33,14 @@ The scripts mentioned below were used for generating the plots featured in our b ## Running an End-to-End Example -To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance for a specific configuration as depicted in figure 8 of our blog [post.](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms) +To quickly experience the end-to-end process of running our benchmark and getting results, you can use the `run_example.sh`. This script is designed to execute the benchmark with a specific configuration. The plots below will be generated in the charts directory. These plots show the performance as depicted in figure 8 of our blog [post.](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen#f-other-hardware-platforms) + +```bash +bash run_example.sh +```

*Figure 1: Throughput-latency curve and effective throughput of Llama 2 7b using A6000. Runs the client with 60 generation steps and input prompt length of 2600.*
-
- -```bash -bash run_example.sh -``` \ No newline at end of file + \ No newline at end of file

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