Add new lemonade examples and installer. Update source code.

Author: jeremyfowers

Diff for: .github/workflows/test_lemonade.yml

@@ -55,7 +55,14 @@ jobs:
       - name: Run lemonade tests
         shell: bash -el {0}
         run: |
-          lemonade -i facebook/opt-125m huggingface-load llm-prompt -p "hi" --max-new-tokens 10
-          python test/llm_api.py
+          # Test CLI
+          lemonade -m -i facebook/opt-125m huggingface-load llm-prompt -p "hi" --max-new-tokens 10
           
+          # Test low-level APIs
+          python test/lemonade/llm_api.py
+          
+
+          # Test high-level LEAP APIs
+          python examples/lemonade/leap_basic.py
+          python examples/lemonade/leap_streaming.py
 

Diff for: .github/workflows/test_lemonade_oga_cpu.yml

@@ -55,6 +55,13 @@ jobs:
         env:
           HF_TOKEN: "${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}" # Required by OGA model_builder in OGA 0.4.0 but not future versions
         run: |
+          # Test CLI
           lemonade -i TinyPixel/small-llama2 oga-load --device cpu --dtype int4 llm-prompt -p "tell me a story" --max-new-tokens 5
-          python test/oga_cpu_api.py
+
+          # Test low-level APIs
+          python test/lemonade/oga_cpu_api.py
+
+          # Test high-level LEAP APIs
+          python examples/lemonade/leap_oga_cpu.py
+          python examples/lemonade/leap_oga_cpu_streaming.py
 

Diff for: .github/workflows/test_turnkey.yml

@@ -8,6 +8,11 @@ on:
     branches: ["main", "canary", "refresh"]
   pull_request:
     branches: ["main", "canary", "refresh"]
+    paths:
+    - src/turnkeyml/**
+    - test/turnkey/**
+    - examples/turnkey/**
+    - .github/workflows/test_turnkey.yml
 
 permissions:
   contents: read
@@ -50,68 +55,32 @@ jobs:
         shell: bash -el {0}
         run: |
           # Unit tests
-          python test/unit.py
+          python test/turnkey/unit.py
 
           # turnkey examples
           # Note: we clear the default cache location prior to each block of example runs
           rm -rf ~/.cache/turnkey
-          python examples/api/onnx_opset.py --onnx-opset 15
-          python examples/api/loading_a_build.py
+          python examples/turnkey/api/onnx_opset.py --onnx-opset 15
+          python examples/turnkey/api/loading_a_build.py
 
           rm -rf ~/.cache/turnkey
-          turnkey -i examples/cli/scripts/hello_world.py discover export-pytorch benchmark
+          turnkey -i examples/turnkey/cli/scripts/hello_world.py discover export-pytorch benchmark
           rm -rf ~/.cache/turnkey
-          turnkey -i examples/cli/scripts/multiple_invocations.py discover export-pytorch benchmark
+          turnkey -i examples/turnkey/cli/scripts/multiple_invocations.py discover export-pytorch benchmark
           rm -rf ~/.cache/turnkey
-          turnkey -i examples/cli/scripts/max_depth.py discover --max-depth 1 export-pytorch benchmark
+          turnkey -i examples/turnkey/cli/scripts/max_depth.py discover --max-depth 1 export-pytorch benchmark
           rm -rf ~/.cache/turnkey
-          turnkey -i examples/cli/scripts/two_models.py discover export-pytorch benchmark
+          turnkey -i examples/turnkey/cli/scripts/two_models.py discover export-pytorch benchmark
           rm -rf ~/.cache/turnkey
-          turnkey -i examples/cli/onnx/hello_world.onnx load-onnx benchmark
+          turnkey -i examples/turnkey/cli/onnx/hello_world.onnx load-onnx benchmark
 
           # E2E tests
-          cd test/
+          cd test/turnkey
           python cli.py
           python analysis.py
       - name: Test example plugins
         shell: bash -el {0}
         run: |
           rm -rf ~/.cache/turnkey
-          pip install -e examples/cli/plugins/example_tool
-          turnkey -i examples/cli/scripts/hello_world.py discover export-pytorch example-plugin-tool benchmark
-      # - name: Install and Start Slurm
-      #   if: runner.os != 'Windows'
-      #   shell: bash -el {0}
-      #   run: |
-      #     sudo apt update -y
-      #     sudo apt install slurm-wlm -y
-      #     cp test/helpers/slurm.conf test/helpers/slurm_modified.conf
-      #     sed -i "s/YOUR_HOSTNAME_HERE/$HOSTNAME/" test/helpers/slurm_modified.conf
-      #     sudo mv test/helpers/slurm_modified.conf /etc/slurm/slurm.conf
-      #     sudo service slurmd start
-      #     sudo service slurmctld start
-      #     sudo service munge start
-      # - name: Test turnkey on Slurm
-      #   if: runner.os != 'Windows'
-      #   shell: bash -el {0}
-      #   run: |
-      #     # Create conda environment for Slurm using srun (sbatch + wait)
-      #     export SKIP_REQUIREMENTS_INSTALL="True"
-      #     export TORCH_CPU="True"
-      #     srun src/turnkeyml/cli/setup_venv.sh
-
-      #     # Run tests on Slurm
-      #     export TURNKEY_SLURM_USE_DEFAULT_MEMORY="True"
-      #     turnkey -i models/selftest/linear.py --use-slurm --cache-dir local_cache discover export-pytorch
-      #     bash test/helpers/check_slurm_output.sh slurm-2.out
-
-      # Below tests are commented out as the GitHub runner runs out of space installing the requirements
-      # - name: Check installation of requirements.txt and their compatibility with turnkey
-      #   shell: bash -el {0}
-      #   run: |
-      #     conda create --name test-requirements python=3.8
-      #     conda activate test-requirements
-      #     pip install -r models/requirements.txt
-      #     python -m pip check
-      #     python -c "import torch_geometric"
-      #     conda deactivate
+          pip install -e examples/turnkey/cli/plugins/example_tool
+          turnkey -i examples/turnkey/cli/scripts/hello_world.py discover export-pytorch example-plugin-tool benchmark

Diff for: README.md

@@ -7,10 +7,10 @@
 
 We are on a mission to make it easy to use the most important tools in the ONNX ecosystem. TurnkeyML accomplishes this by providing no-code CLIs and low-code APIs for both general ONNX workflows with `turnkey` as well as LLMs with `lemonade`.
 
-|                     [**Lemonade**](https://github.com/onnx/turnkeyml/tree/main/src/turnkeyml/llm)                    	|                            [**Turnkey**](https://github.com/onnx/turnkeyml/blob/main/docs/classic_getting_started.md)                                	|
+|                     [**Lemonade**](https://github.com/onnx/turnkeyml/tree/main/src/turnkeyml/llm)                    	|                            [**Turnkey**](https://github.com/onnx/turnkeyml/blob/main/docs/turnkey/getting_started.md)                                	|
 |:----------------------------------------------:	|:-----------------------------------------------------------------:	|
-| Serve and benchmark LLMs on CPU, GPU, and NPU. <br/>	[Click here to get started with `lemonade`.](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade_getting_started.md) | Export and optimize ONNX models for CNNs and Transformers. <br/>	[Click here to get started with `turnkey`.](https://github.com/onnx/turnkeyml/blob/main/docs/classic_getting_started.md)	|
-| <img src="img/llm_demo.png"/> | <img src="img/classic_demo.png"/> |
+| Serve and benchmark LLMs on CPU, GPU, and NPU. <br/>	[Click here to get started with `lemonade`.](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/getting_started.md) | Export and optimize ONNX models for CNNs and Transformers. <br/>	[Click here to get started with `turnkey`.](https://github.com/onnx/turnkeyml/blob/main/docs/turnkey/getting_started.md)	|
+| <img src="https://github.com/onnx/turnkeyml/blob/main/img/llm_demo.png?raw=true"/> | <img src="https://github.com/onnx/turnkeyml/blob/main/img/classic_demo.png?raw=true"/> |
 
 
 ## How It Works

Diff for: docs/code.md

@@ -5,9 +5,9 @@
 The TurnkeyML source code has a few major top-level directories:
 - `docs`: documentation for the entire project.
 - `examples`: example scripts for use with the TurnkeyML tools.
-  - `examples/cli`: tutorial series starting in `examples/cli/readme.md` to help learn the `turnkey` CLI.
-    - `examples/cli/scripts`: example scripts that can be fed as input into the `turnkey` CLI. These scripts each have a docstring that recommends one or more `turnkey` CLI commands to try out.
-  - `examples/api`: examples scripts that invoke `Tools` via APIs.
+  - `examples/turnkey/cli`: tutorial series starting in `examples/turnkey/cli/readme.md` to help learn the `turnkey` CLI.
+    - `examples/turnkey/cli/scripts`: example scripts that can be fed as input into the `turnkey` CLI. These scripts each have a docstring that recommends one or more `turnkey` CLI commands to try out.
+  - `examples/turnkey/api`: examples scripts that invoke `Tools` via APIs.
 - `models`: the corpora of models that makes up the TurnkeyML models (see [the models readme](https://github.com/onnx/turnkeyml/blob/main/models/readme.md)).
   - Each subdirectory under `models` represents a corpus of models pulled from somewhere on the internet. For example, `models/torch_hub` is a corpus of models from [Torch Hub](https://github.com/pytorch/hub).
 - `src/turnkeyml`: source code for the TurnkeyML package.
@@ -20,8 +20,8 @@ The TurnkeyML source code has a few major top-level directories:
   - `src/turnkeyml/state.py`: implements the `State` class.
   - `src/turnkeyml/files_api.py`: implements the `evaluate_files()` API, which is the top-level API called by the CLI.
 - `test`: tests for the TurnkeyML tools.
-  - `test/analysis.py`: tests focusing on the `discover` `Tool`.
-  - `test/cli.py`: tests focusing on top-level CLI features.
+  - `test/turnkey/analysis.py`: tests focusing on the `discover` `Tool`.
+  - `test/turnkey/cli.py`: tests focusing on top-level CLI features.
 
 ## Tool Classes
 

Diff for: docs/contribute.md

@@ -88,7 +88,7 @@ We require the following naming scheme:
 
 ### Example
 
-See the [example_tool](https://github.com/onnx/turnkeyml/tree/main/examples/cli/plugins/example_tool) plugin for an example.
+See the [example_tool](https://github.com/onnx/turnkeyml/tree/main/examples/turnkey/cli/plugins/example_tool) plugin for an example.
 
 The `__init__.py` file with its `implements` dictionary looks like:
 

Diff for: docs/lemonade/getting_started.md

@@ -64,6 +64,16 @@ That command will run a few warmup iterations, then a few generation iterations
 
 The prompt size, number of output tokens, and number iterations are all parameters. Learn more by running `lemonade huggingface-bench -h`.
 
+## Memory Usage
+
+The peak memory used by the lemonade build is captured in the build output.  To capture more granular
+memory usage information, use the `--memory` flag.  For example:
+
+`lemonade -i facebook/opt-125m --memory huggingface-load huggingface-bench`
+
+In this case a `memory_usage.png` file will be generated and stored in the build folder.  This file
+contains a figure plotting the memory usage over the build time.  Learn more by running `lemonade -h`.
+
 ## Serving
 
 You can launch a WebSocket server for your LLM with:
@@ -111,9 +121,9 @@ You can also try Phi-3-Mini-128k-Instruct with the following commands:
 
 `lemonade -i microsoft/Phi-3-mini-4k-instruct oga-load --device igpu --dtype int4 serve`
 
-You can learn more about the CPU and iGPU support in our [OGA documentation](https://github.com/onnx/turnkeyml/blob/main/docs/ort_genai_igpu.md).
+You can learn more about the CPU and iGPU support in our [OGA documentation](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/ort_genai_igpu.md).
 
-> Note: early access to AMD's RyzenAI NPU is also available. See the [RyzenAI NPU OGA documentation](https://github.com/onnx/turnkeyml/blob/main/docs/ort_genai_npu.md) for more information.
+> Note: early access to AMD's RyzenAI NPU is also available. See the [RyzenAI NPU OGA documentation](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/ort_genai_npu.md) for more information.
 
 ## Install RyzenAI NPU for PyTorch
 
@@ -131,7 +141,7 @@ If you decide to contribute, please:
 
 - do so via a pull request.
 - write your code in keeping with the same style as the rest of this repo's code.
-- add a test under `test/llm_api.py` that provides coverage of your new feature.
+- add a test under `test/lemonade/llm_api.py` that provides coverage of your new feature.
 
 The best way to contribute is to add new tools to cover more devices and usage scenarios.
 

Diff for: docs/readme.md

@@ -1,11 +1,38 @@
 # TurnkeyML Documentation
 
-This directory contains documentation for the TurnkeyML project:
+## LLMs: `lemonade` tooling
+
+The `docs/lemonade` directory has documentation for the LLM-focused `lemonade` tooling:
+- [Getting Started](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/getting_started.md): start here for LLMs.
+- Accuracy tests (task performance):
+  - [HumanEval](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/humaneval_accuracy.md): details of the HumanEval coding task test.
+  - [MMLU](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/mmlu_accuracy.md): details of the MMLU general reasoning test.
+  - [Perplexity](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/perplexity.md): details of the Perplexity test for LLMs.
+- Tool-specific setup guides:
+    - [llama.cpp](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/llamacpp.md)
+    - OnnxRuntime GenaI:
+        - [iGPU/NPU hybrid](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/ort_genai_hybrid.md)
+        - [iGPU](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/ort_genai_igpu.md)
+        - [NPU](https://github.com/onnx/turnkeyml/blob/main/docs/lemonade/ort_genai_npu.md)
+
+## CNNs and Transformers: `turnkey` tooling
+
+The `docs/turnkey` directory contains documentation for the CNN/Transformer-focused `turnkey` tooling:
+
+- [getting_started.md](https://github.com/onnx/turnkeyml/blob/main/docs/turnkey/getting_started.md)
+- [tools_user_guide.md](https://github.com/onnx/turnkeyml/blob/main/docs/turnkey/tools_user_guide.md): User guide for the tools: the `turnkey` CLI and the APIs.
+
+
+There is more useful documentation available in:
+- [examples/turnkey/cli/readme.md](https://github.com/onnx/turnkeyml/blob/main/examples/turnkey/cli/readme.md): Tutorial series for learning the `turnkey` CLI.
+- [models/readme.md](https://github.com/onnx/turnkeyml/blob/main/models/readme.md): Tutorial for understanding the models and how to use `turnkey` to evaluate the models.
+
+## General Information
+
+This directory also contains documentation for the TurnkeyML project as a whole:
+
 - [code.md](https://github.com/onnx/turnkeyml/blob/main/docs/code.md): Code organization for the tools.
 - [install.md](https://github.com/onnx/turnkeyml/blob/main/docs/install.md): Installation instructions for the tools.
-- [tools_user_guide.md](https://github.com/onnx/turnkeyml/blob/main/docs/tools_user_guide.md): User guide for the tools: the `turnkey` CLI and the APIs.
 - [versioning.md](https://github.com/onnx/turnkeyml/blob/main/docs/versioning.md): Defines the semantic versioning rules for the `turnkey` package.
-
-There is more useful documentation available in:
-- [examples/cli/readme.md](https://github.com/onnx/turnkeyml/blob/main/examples/cli/readme.md): Tutorial series for learning the `turnkey` CLI.
-- [models/readme.md](https://github.com/onnx/turnkeyml/blob/main/models/readme.md): Tutorial for understanding the models and how to use `turnkey` to evaluate the models.
+- [contribute.md](https://github.com/onnx/turnkeyml/blob/main/docs/contribute.md): Contribution guidelines for the project.
+- [converage.md](https://github.com/onnx/turnkeyml/blob/main/docs/coverage.md): How to run code coverage metrics.

Diff for: docs/turnkey/getting_started.md

@@ -41,8 +41,8 @@ The easiest way to learn more about `turnkey` is to explore the help menu with `
 We also provide the following resources:
 
 - [Installation guide](https://github.com/onnx/turnkeyml/blob/main/docs/install.md): how to install from source, set up Slurm, etc.
-- [User guide](https://github.com/onnx/turnkeyml/blob/main/docs/tools_user_guide.md): explains the concepts of `turnkey's`, including the syntax for making your own tool sequence.
-- [Examples](https://github.com/onnx/turnkeyml/tree/main/examples/cli): PyTorch scripts and ONNX files that can be used to try out `turnkey` concepts.
+- [User guide](https://github.com/onnx/turnkeyml/blob/main/docs/turnkey/tools_user_guide.md): explains the concepts of `turnkey's`, including the syntax for making your own tool sequence.
+- [Examples](https://github.com/onnx/turnkeyml/tree/main/examples/turnkey/cli): PyTorch scripts and ONNX files that can be used to try out `turnkey` concepts.
 - [Code organization guide](https://github.com/onnx/turnkeyml/blob/main/docs/code.md): learn how this repository is structured.
 - [Models](https://github.com/onnx/turnkeyml/blob/main/models/readme.md): PyTorch model scripts that work with `turnkey`.
 
@@ -101,4 +101,4 @@ The build tool has built-in support for a variety of interoperable `Tools`. If y
 > turnkey -i my_model.py discover export-pytorch my-custom-tool --my-args
 ```
 
-All of the built-in `Tools` are implemented against the plugin API. Check out the [example plugins](https://github.com/onnx/turnkeyml/tree/main/examples/cli/plugins) and the [plugin API guide](https://github.com/onnx/turnkeyml/blob/main/docs/contribute.md#contributing-a-plugin) to learn more about creating an installable plugin.
+All of the built-in `Tools` are implemented against the plugin API. Check out the [example plugins](https://github.com/onnx/turnkeyml/tree/main/examples/turnkey/cli/plugins) and the [plugin API guide](https://github.com/onnx/turnkeyml/blob/main/docs/contribute.md#contributing-a-plugin) to learn more about creating an installable plugin.

Diff for: docs/turnkey/tools_user_guide.md

@@ -108,7 +108,7 @@ Name of one or more script (.py), ONNX (.onnx), or cached build (_state.yaml) fi
 Examples: 
 - `turnkey -i models/selftest/linear.py` 
 - `turnkey -i models/selftest/linear.py models/selftest/twolayer.py` 
-- `turnkey -i examples/cli/onnx/sample.onnx` 
+- `turnkey -i examples/turnkey/cli/onnx/sample.onnx` 
 
 You may also use [Bash regular expressions](https://tldp.org/LDP/Bash-Beginners-Guide/html/sect_04_01.html) to locate the files you want to benchmark.
 

Diff for: examples/lemonade/README.md

@@ -0,0 +1,18 @@
+# Lemonade Examples
+
+This folder contains examples of how to use `lemonade` via the high-level LEAP APIs. These APIs make it easy to load a model, generate responses, and also show how to stream those responses.
+
+The `demos/` folder also contains some higher-level application demos of the LEAP APIs. Learn more in `demos/README.md`.
+
+## LEAP Examples
+
+This table shows which LEAP examples are available:
+
+| Framework                  | CPU                       | GPU              | NPU             | Hybrid             |
+|----------------------------|---------------------------|------------------|-----------------|--------------------|
+| Huggingface                | leap_basic.py             | -                | -               | -                  |
+| OGA                        | leap_oga_cpu.py           | leap_oga_igpu.py | leap_oga_npu.py | leap_oga_hybrid.py |
+| Huggingface with streaming | leap_streaming.py         | -                | -               | -                  |
+| OGA with streaming         | leap_oga_cpu_streaming.py | leap_oga_igpu_streaming.py | leap_oga_npu_streaming.py | leap_oga_hybrid_streaming.py |
+
+To run a LEAP example, first set up a conda environment with the appropriate framework and backend support. Then run the scripts with a command like `python leap_basic.py`.