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Posted to commits@tvm.apache.org by me...@apache.org on 2022/05/13 16:17:20 UTC
[tvm] branch main updated: [Hexagon] Update Readme (#11283)
This is an automated email from the ASF dual-hosted git repository.
mehrdadh pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 2ba4588393 [Hexagon] Update Readme (#11283)
2ba4588393 is described below
commit 2ba4588393fc90698c822c5291674ba2ac9c9c8d
Author: Mehrdad Hessar <mh...@octoml.ai>
AuthorDate: Fri May 13 09:17:14 2022 -0700
[Hexagon] Update Readme (#11283)
* move conv2d readme
* Update README
---
tests/python/contrib/test_hexagon/README.md | 141 ++++++++++++++++++---
.../contrib/test_hexagon/{ => conv2d}/README.md | 0
tests/python/contrib/test_hexagon/test_launcher.md | 138 --------------------
3 files changed, 121 insertions(+), 158 deletions(-)
diff --git a/tests/python/contrib/test_hexagon/README.md b/tests/python/contrib/test_hexagon/README.md
index 674e1af602..ce854bb0ab 100644
--- a/tests/python/contrib/test_hexagon/README.md
+++ b/tests/python/contrib/test_hexagon/README.md
@@ -15,23 +15,124 @@
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->
-Documents manual TE schedule to illustrate Hexagon operator slicing.
-
-High Level Notes:
-* Using float32 (for now) so that tests will pass on CPU
-* Using global storage scope (for now) which means "cache" reads and writes from global, to global
-* TIR is pending changes from the work-in-progress layout RFC
- (https://github.com/apache/tvm-rfcs/pull/39)
-* TIR has been hand-edited for context and clarity
- * Added C-style comments
- * Changed variable names
- * Added spacing and line breaks
-* Naming conventions
- * Using input (instead of activation)
- * Using filter (instead of weight, kernel)
- * Using `k` to denote channel-out and `c` or `rc` (reduction channel) to denote channel-in
- * Using `rh` and `rw` (reduction height / width) to denote filter height and width
-
-[Conv2d](test_conv2d_blocked.md)
-
-[Conv2d -> Conv2d](test_conv2d_conv2d.md)
\ No newline at end of file
+# Test TVM on Hexagon
+This document explains various pieces that are involved in testing TVM on an Android device which includes Hexagon DSP or Hexagon simulator.
+
+## What is HexagonLauncherRPC?
+HexagonLauncherRPC is a class to handle interactions with an Android phone which includes Hexagon DSP or Hexagon simulator to run a TVMModule(function/operation/graph) on Hexagon. HexagonLauncherRPC reuses [minRPC](https://github.com/apache/tvm/tree/main/src/runtime/minrpc) implementation to set up an RPC connection from host (your local machine) to Hexagon target, and it is passed through Android RPC server.
+
+## Build Required Tools/Libraries
+To build TVM for Hexagon and run tests you need to run multiple steps which includes preparing required tools, setting up environment variables and building various versions of TVM. Alternatively, you can skip these instructions and use docker image which has pre-installed required tools. We highly recommend to use docker, especially if this is your first time working with Hexagon. For instructions on using docker image follow ["use hexagon docker image"](#use-hexagon-docker-image).
+
+- Build TVMRuntime library and C++ RPC server for Android.
+- Build minRPC server along with FastRPC for Hexagon.
+- Build TVM library with Hexagon support for host machine.
+- Build TVMRuntime library and RPC server for host machine.
+
+First, ensure to export Clang libraries to `LD_LIBRARY_PATH` and Hexagon toolchain to `HEXAGON_TOOLCHAIN`:
+```bash
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:"Path to `llvm-clang/lib` sub-directory. Currently we use LLVM-13 in TVM CI."
+
+export HEXAGON_TOOLCHAIN="Path to Hexagon toolchain. It can be the Hexagon toolchain included in the SDK, for example `HEXAGON_SDK_PATH/tools/HEXAGON_Tools/x.y.z/Tools`. The `x.y.z` in the path is the toolchain version number, which is specific to the version of the SDK."
+```
+
+You can find more information about downloading [Hexagon SDK](https://developer.qualcomm.com/software/hexagon-dsp-sdk).
+
+First build Hexagon API application under `apps/hexagon_api`. This step will generate `tvm_rpc_android` and `libtvm_runtime.so` to run on Android. Also, it generates `libtvm_runtime.a` `libtvm_runtime.so`, `libhexagon_rpc_skel.so` and `libhexagon_rpc_sim.so` to run on Hexagon device or Hexagon simulator.
+
+**Note:** To get the most updated instructions, please take a look at [task_build_hexagon_api.sh](https://github.com/apache/tvm/blob/main/tests/scripts/task_build_hexagon_api.sh).
+
+```bash
+cd apps/hexagon_api
+mkdir build
+cd build
+cmake -DANDROID_ABI=arm64-v8a \
+ -DANDROID_PLATFORM=android-28 \
+ -DUSE_ANDROID_TOOLCHAIN="path to `android-ndk/build/cmake/android.toolchain.cmake` file" \
+ -DUSE_HEXAGON_ARCH=v65|v66|v68|v69 \
+ -DUSE_HEXAGON_SDK="path to Hexagon SDK" \
+ -DUSE_HEXAGON_TOOLCHAIN="path to Hexagon toolchain `Tools` sub-directory which explained above" \
+ -DUSE_OUTPUT_BINARY_DIR="path to `build/hexagon_api_output` which is a sub-directory of `tvm`" ..
+
+make -j2
+```
+
+Next, we need to build TVM on host with RPC and Hexagon dependencies. To do that follow these commands.
+
+**Note:** To get the most recent configs for this step, please take a look at [task_config_build_hexagon.sh](https://github.com/apache/tvm/blob/main/tests/scripts/task_config_build_hexagon.sh).
+
+```bash
+cd tvm
+mkdir build
+cd build
+cmake -DUSE_LLVM="path to `llvm/bin/llvm-config`" \
+ -DUSE_RPC=ON \
+ -DCMAKE_CXX_COMPILER="path to `clang++` executable" \
+ -DUSE_HEXAGON_SDK="path to Hexagon SDK" \
+ -DUSE_HEXAGON=ON ..
+
+make -j2
+```
+
+## Use Hexagon Docker Image
+To use hexagon docker image, install TVM and Hexagon API follow these steps from your TVM home directory:
+
+```bash
+# Log in to docker image
+./docker/bash.sh ci_hexagon
+
+# Build TVM
+rm -rf build
+./tests/scripts/task_config_build_hexagon.sh build
+cd build
+cmake ..
+make -j2
+
+# Build Hexagon API
+cd ..
+./tests/scripts/task_build_hexagon_api.sh
+```
+
+Now that you have built required tools, you can jump to [run test examples](#run-tests).
+
+## Run Tests
+You have the options of running Hexagon test on real hardware or on Hexagon simulator. Also, depending on whether you decided to use Hexagon docker image or not we will explain both cases here.
+
+**Note: You can always find updated instructions based on this [script](https://github.com/apache/tvm/blob/main/tests/scripts/task_python_hexagon.sh).**
+
+### Only follow these steps if running tests outside of docker
+```bash
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:"path to `llvm-clang/lib` sub-directory"
+
+export HEXAGON_TOOLCHAIN="Path to Hexagon toolchain. It can be the Hexagon toolchain included in the HexagonSDK, for example `HEXAGON_SDK_PATH/tools/HEXAGON_Tools/x.y.z/Tools`. The `x.y.z` in the path is the toolchain version number, which is specific to the version of the SDK."
+
+export PYTHONPATH=$PYTHONPATH:"path to `tvm/python`"
+```
+
+### Now, follow these steps
+**Note:** If you are using Hexagon docker image, first step is to log into the Hexagon docker image. Following these commands you will log in to the most recent version of Hexagon docker image on your TVM local branch. Since we have already built TVM for hexagon, we can just log in and use it. From your TVM home directory:
+
+```bash
+./docker/bash.sh ci_hexagon
+```
+
+Now, you need to export few environment variables and execute following commands:
+
+```bash
+# Run RPC Tracker in the background
+export TVM_TRACKER_HOST="Your host IP address or 0.0.0.0"
+export TVM_TRACKER_PORT="Port number of your choice."
+python -m tvm.exec.rpc_tracker --host $TVM_TRACKER_HOST --port $TVM_TRACKER_PORT&
+
+# Only For real hardware testing
+export ANDROID_SERIAL_NUMBER="You can get this number by running 'adb devices' command"
+
+# Only For simulator testing
+export HEXAGON_SHARED_LINK_FLAGS="-Lbuild/hexagon_api_output -lhexagon_rpc_sim"
+export ANDROID_SERIAL_NUMBER="simulator"
+```
+
+Finally, to run a Hexagon Launcher tests you can run:
+```bash
+pytest tests/python/contrib/test_hexagon/test_launcher.py
+```
diff --git a/tests/python/contrib/test_hexagon/README.md b/tests/python/contrib/test_hexagon/conv2d/README.md
similarity index 100%
copy from tests/python/contrib/test_hexagon/README.md
copy to tests/python/contrib/test_hexagon/conv2d/README.md
diff --git a/tests/python/contrib/test_hexagon/test_launcher.md b/tests/python/contrib/test_hexagon/test_launcher.md
deleted file mode 100644
index b9d9052685..0000000000
--- a/tests/python/contrib/test_hexagon/test_launcher.md
+++ /dev/null
@@ -1,138 +0,0 @@
-<!--- Licensed to the Apache Software Foundation (ASF) under one -->
-<!--- or more contributor license agreements. See the NOTICE file -->
-<!--- distributed with this work for additional information -->
-<!--- regarding copyright ownership. The ASF licenses this file -->
-<!--- to you under the Apache License, Version 2.0 (the -->
-<!--- "License"); you may not use this file except in compliance -->
-<!--- with the License. You may obtain a copy of the License at -->
-
-<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
-
-<!--- Unless required by applicable law or agreed to in writing, -->
-<!--- software distributed under the License is distributed on an -->
-<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
-<!--- KIND, either express or implied. See the License for the -->
-<!--- specific language governing permissions and limitations -->
-<!--- under the License. -->
-
-# HexagonLauncher
-HexagonLauncher is a class to handle interactions with an Android phone which includes Hexagon DSP to run a TVMModule(function/operation/graph) on Hexagon. HexagonLauncher reuses minRPC implementation to setup an RPC connection from host (your local machine) to Hexagon target which is passed through Android RPC server.
-
-## Build Required Tools/Libraries
-To build TVM for Hexagon and run tests you can follow these steps to prepare a runtime on a Hexagon device to test any model. Alternatively, you can skip these instructions and use docker image which has pre-installed required tools. Instructions for using docker image [here](#use-hexagon-docker-image).
-
-- Build TVMRuntime library and C++ RPC server for Android.
-- Build minRPC server along with FastRPC for Hexagon.
-- Build TVM library with Hexagon support for host machine.
-- Build TVMRuntime library and RPC server for host machine.
-
-Note: First, ensure to export Clang libraries to `LD_LIBRARY_PATH` and Hexagon toolchain to `HEXAGON_TOOLCHAIN`:
-
-```bash
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:"path to `llvm-clang/lib` sub-directory"
-
-export HEXAGON_TOOLCHAIN="Path to Hexagon toolchain. It can be the Hexagon toolchain included in the SDK, for example `HEXAGON_SDK_PATH/tools/HEXAGON_Tools/x.y.z/Tools`. The `x.y.z` in the path is the toolchain version number, which is specific to the version of the SDK."
-```
-
-To build these pieces, first build Hexagon API application under `apps/hexagon_api`.
-
-```bash
-cd apps/hexagon_api
-mkdir build
-cd build
-cmake -DUSE_ANDROID_TOOLCHAIN="path to `android-ndk/build/cmake/android.toolchain.cmake` file" \
- -DANDROID_PLATFORM=android-28 \
- -DANDROID_ABI=arm64-v8a \
- -DUSE_HEXAGON_ARCH=v65|v66|v68|v69 \
- -DUSE_HEXAGON_SDK="path to Hexagon SDK" \
- -DUSE_HEXAGON_TOOLCHAIN="path to Hexagon toolchain `Tools` sub-directory which explained above" \
- -DUSE_OUTPUT_BINARY_DIR="path to `build/hexagon_api_output` which is a sub-directory of `tvm`" ..
-```
-
-This command generates `tvm_rpc_android` and `libtvm_runtime.so` to run on Android. Also, it generates `libtvm_runtime.a` and `libhexagon_rpc_skel.so` to run on Hexagon device. Now we have TVM artifacts which are used to run on the remote device.
-
-Next, we need to build TVM on host with RPC and Hexagon dependencies. To do that follow these commands.
-
-```bash
-cd tvm
-mkdir build
-cd build
-cmake -DUSE_LLVM="path to `llvm/bin/llvm-config`" \
- -DUSE_RPC=ON \
- -DCMAKE_CXX_COMPILER="path to `clang++` executable" \
- -DCMAKE_CXX_FLAGS='-stdlib=libc++' \
- -DUSE_HEXAGON_SDK="path to Hexagon SDK" \
- -DUSE_HEXAGON_ARCH="choose from v65|v66|v68|v69" \
- -DUSE_HEXAGON=ON ..
-```
-
-## Use Hexagon Docker Image
-To use this docker image, install TVM and tools follow these steps.
-
-```bash
-# Log in to docker image
-cd tvm
-./docker/bash.sh tlcpack/ci-hexagon:v0.01
-
-# Build TVM
-./tests/scripts/task_config_build_hexagon.sh
-cd build
-cmake ..
-make -j2
-
-# Build Hexagon API
-cd ..
-./tests/scripts/task_build_hexagon_api.sh
-```
-
-## Testing Using HexagonLauncher
-Before starting a test you need to run an RPC tracker on your local machine and export HOST and PORT as environment variables. Also, you need to export Clang libraries to `LD_LIBRARY_PATH` and Hexagon toolchain to `HEXAGON_TOOLCHAIN` as explained above.
-
-```bash
-export TVM_TRACKER_HOST="0.0.0.0"
-export TVM_TRACKER_PORT=9192
-python -m tvm.exec.rpc_tracker --host $TVM_TRACKER_HOST --port $TVM_TRACKER_PORT
-```
-
-Now, follow these steps to create an RPC session from host to Hexagon.
-
-```python
-# create an HexagonLauncher instance
-launcher = HexagonLauncher(serial_number="Serial number taken from `adb devices` command")
-
-# Create a workspace directory for this test on Android.
-# Upload required Android artifacts including TVMRuntime library and RPC server to Android workspace.
-# Uses port `forward` and `reverse` to open connection on certain ports that TVM uses to connect to RPC tracker.
-# Execute `android_bash.sh` on Android which creates two RPC servers and connects them to RPC tracker running on host machine.
-launcher.android_run_rpc(rpc_tracker_host="TVM_TRACKER_HOST", rpc_tracker_port="TVM_TRACKER_PORT")
-
-# Upload Hexagon RPC libraries to Android workspace.
-launcher.hexagon_setup()
-
-# Create an RPC session from host to Hexagon.
-remote_kw = {
- "host": "TVM_TRACKER_HOST",
- "port": "TVM_TRACKER_PORT",
- "priority": 0,
- "timeout": 60,
-}
-launcher.hexagon_session_setup(remote_kw)
-
-# Upload TVMModule binary file to Android remote.
-launcher.upload("Path to DSO binary file on host", "DSO filename on Android remote")
-```
-
-- To execute a single function/operator on Hexagon, follow these steps.
- ```python
- # Enter session.
- with launcher.session as sess:
- # dlopen DSO binary file on Hexagon.
- mod = launcher.get_module(dso_binary)
- # Use mod to run function/operator on Hexagon...
- ```
-- Or, follow these steps to create a GraphExecutor and run a JSON graph.
- ```python
- graph_mod = launcher.get_local_graph_executor(lowered, dso_binary)
- graph_mod.set_input(...)
- graph_mod.run(...)
- ```