[Rename] Fix all other references to torchchat (#214)

CONTRIBUTING.md

@@ -1,4 +1,4 @@
-# Contributing to torchat
+# Contributing to torchchat
 We want to make contributing to this project as easy and transparent as
 possible.
 
@@ -28,5 +28,5 @@ disclosure of security bugs. In those cases, please go through the process
 outlined on that page and do not file a public issue.
 
 ## License
-By contributing to `torchat`, you agree that your contributions will be licensed
+By contributing to `torchchat`, you agree that your contributions will be licensed
 under the LICENSE file in the root directory of this source tree.

cli.py

@@ -63,27 +63,27 @@ def cli_args():
     parser.add_argument(
         "--export",
         action="store_true",
-        help="Use torchat to export a model.",
+        help="Use torchchat to export a model.",
     )
     parser.add_argument(
         "--eval",
         action="store_true",
-        help="Use torchat to eval a model.",
+        help="Use torchchat to eval a model.",
     )
     parser.add_argument(
         "--generate",
         action="store_true",
-        help="Use torchat to generate a sequence using a model.",
+        help="Use torchchat to generate a sequence using a model.",
     )
     parser.add_argument(
         "--chat",
         action="store_true",
-        help="Use torchat to for an interactive chat session.",
+        help="Use torchchat to for an interactive chat session.",
     )
     parser.add_argument(
         "--gui",
         action="store_true",
-        help="Use torchat to for an interactive gui-chat session.",
+        help="Use torchchat to for an interactive gui-chat session.",
     )
     parser.add_argument("--num-samples", type=int, default=1, help="Number of samples.")
     parser.add_argument(

generate.py

@@ -29,7 +29,7 @@
 
 @dataclass
 class GeneratorArgs:
-    prompt: str = "torchat is pronounced torch-chat and is so cool because"
+    prompt: str = "torchchat is pronounced torch-chat and is so cool because"
     chat: bool = (False,)
     gui: bool = (False,)
     num_samples: int = (1,)

parking_lot/runner_et.yml

@@ -36,7 +36,7 @@ jobs:
           pip install zstd
           pip install -r requirements.txt
 
-          export TORCHAT_ROOT=${PWD}
+          export TORCHCHAT_ROOT=${PWD}
           export ENABLE_ET_PYBIND=false
           ./scripts/install_et.sh $ENABLE_ET_PYBIND
           cmake -S ./runner-et -B build/cmake-out -G Ninja

quantized_ops.py

@@ -10,14 +10,14 @@
 import torch.nn.functional as F
 from torch.library import impl, impl_abstract
 
-torchat_lib = torch.library.Library("torchat", "DEF")
+torchchat_lib = torch.library.Library("torchchat", "DEF")
 
-torchat_lib.define(
+torchchat_lib.define(
     "embedding_int8(Tensor input, Tensor weight, " "Tensor scales) -> Tensor",
 )
 
 
-@impl(torchat_lib, "embedding_int8", "CompositeExplicitAutograd")
+@impl(torchchat_lib, "embedding_int8", "CompositeExplicitAutograd")
 def embedding_int8(
     input: torch.Tensor,
     weight: torch.Tensor,
@@ -66,13 +66,13 @@ def embedding_int8(
     return r.view(indices.size() + (-1,))
 
 
-torchat_lib.define(
+torchchat_lib.define(
     "linear_int8(Tensor input, Tensor weight, Tensor scales, "
     "Tensor bias = None) -> Tensor",
 )
 
 
-@impl(torchat_lib, "linear_int8", "CompositeExplicitAutograd")
+@impl(torchchat_lib, "linear_int8", "CompositeExplicitAutograd")
 def linear_int8(
     input: torch.Tensor,
     weight: torch.Tensor,
@@ -98,14 +98,14 @@ def linear_int8(
         )
 
 
-torchat_lib.define(
+torchchat_lib.define(
     "linear_int4(Tensor input, Tensor weight, Tensor scales_and_zeros, "
     "Tensor bias=None, *, int groupsize, int origin_in_features, "
     "int int_features, int out_features, bool padding = True) -> Tensor",
 )
 
 
-@impl(torchat_lib, "linear_int4", "CompositeExplicitAutograd")
+@impl(torchchat_lib, "linear_int4", "CompositeExplicitAutograd")
 def linear_int4(
     input: torch.Tensor,
     weight: torch.Tensor,
@@ -140,14 +140,14 @@ def linear_int4(
     return c
 
 
-torchat_lib.define(
+torchchat_lib.define(
     "linear_a8w4dq(Tensor input, Tensor weight, Tensor scales, "
     "Tensor zeros, int out_features, int groupsize, "
     "dtype precision) -> Tensor",
 )
 
 
-@impl(torchat_lib, "linear_a8w4dq", "CompositeExplicitAutograd")
+@impl(torchchat_lib, "linear_a8w4dq", "CompositeExplicitAutograd")
 def linear_a8w4dq(input, weight, scales, zeros, out_features, groupsize, precision):
     x = per_token_dynamic_quant(input)
     weight_int8 = weight

runner-et/CMakeLists.txt

@@ -1,14 +1,14 @@
 cmake_minimum_required(VERSION 3.24)
 set(CMAKE_CXX_STANDARD 17)
 
-project(Torchat)
+project(Torchchat)
 
 include(CMakePrintHelpers)
-set(TORCHAT_ROOT $ENV{TORCHAT_ROOT})
-cmake_print_variables(TORCHAT_ROOT)
+set(TORCHCHAT_ROOT $ENV{TORCHCHAT_ROOT})
+cmake_print_variables(TORCHCHAT_ROOT)
 
-find_package(executorch CONFIG REQUIRED PATHS ${TORCHAT_ROOT}/build/install/lib/cmake/ExecuTorch)
-set(_common_include_directories ${TORCHAT_ROOT}/build/src)
+find_package(executorch CONFIG REQUIRED PATHS ${TORCHCHAT_ROOT}/build/install/lib/cmake/ExecuTorch)
+set(_common_include_directories ${TORCHCHAT_ROOT}/build/src)
 cmake_print_variables(_common_include_directories)
 
 target_include_directories(executorch INTERFACE ${_common_include_directories}) # Ideally ExecuTorch installation process would do this
@@ -19,7 +19,7 @@ target_link_libraries(
     runner_et PRIVATE
         executorch
         extension_module
-        ${TORCHAT_ROOT}/build/src/executorch/cmake-out/extension/data_loader/libextension_data_loader.a # This one does not get installed by ExecuTorch
+        ${TORCHCHAT_ROOT}/build/src/executorch/cmake-out/extension/data_loader/libextension_data_loader.a # This one does not get installed by ExecuTorch
         optimized_kernels
         portable_kernels
         cpublas

scripts/android_example.sh

@@ -7,8 +7,8 @@
 
 set -eu
 
-cd ${TORCHAT_ROOT}
-echo "Inside: $TORCHAT_ROOT"
+cd ${TORCHCHAT_ROOT}
+echo "Inside: $TORCHCHAT_ROOT"
 
 which curl
 
@@ -25,8 +25,8 @@ else
   exit -1
 fi
 
-mkdir -p ${TORCHAT_ROOT}/build/android
-pushd ${TORCHAT_ROOT}/build/android
+mkdir -p ${TORCHCHAT_ROOT}/build/android
+pushd ${TORCHCHAT_ROOT}/build/android
 
 echo "Download Java 17"
 curl "${JAVA_URL}" -o jdk-17.0.10.tar.gz
@@ -69,8 +69,8 @@ pushd build/src/executorch/examples/demo-apps/android/LlamaDemo
 ./gradlew :app:build
 popd
 
-avdmanager create avd --name "torchat" --package "system-images;android-34;google_apis;${ANDROID_ABI}"
-sdk/emulator/emulator @torchat &
+avdmanager create avd --name "torchchat" --package "system-images;android-34;google_apis;${ANDROID_ABI}"
+sdk/emulator/emulator @torchchat &
 
 adb wait-for-device
 adb shell mkdir /data/local/tmp/llama

scripts/install_et.sh

@@ -14,25 +14,25 @@ install_pip_dependencies() {
   pip install cmake
   pip install ninja
   pip install zstd
-  pushd ${TORCHAT_ROOT}
+  pushd ${TORCHCHAT_ROOT}
   pip install -r ./requirements.txt
   popd
 }
 
 install_executorch() {
-  echo "Cloning executorch to ${TORCHAT_ROOT}/build/src"
-  rm -rf ${TORCHAT_ROOT}/build
-  mkdir -p ${TORCHAT_ROOT}/build/src
-  pushd ${TORCHAT_ROOT}/build/src
+  echo "Cloning executorch to ${TORCHCHAT_ROOT}/build/src"
+  rm -rf ${TORCHCHAT_ROOT}/build
+  mkdir -p ${TORCHCHAT_ROOT}/build/src
+  pushd ${TORCHCHAT_ROOT}/build/src
   git clone https://github.com/pytorch/executorch.git
   cd executorch
   echo "Install executorch: submodule update"
   git submodule sync
   git submodule update --init
 
   echo "Applying fixes"
-  cp ${TORCHAT_ROOT}/scripts/fixes_et/module.cpp ${TORCHAT_ROOT}/build/src/executorch/extension/module/module.cpp # ET uses non-standard C++ that does not compile in GCC
-  cp ${TORCHAT_ROOT}/scripts/fixes_et/managed_tensor.h ${TORCHAT_ROOT}/build/src/executorch/extension/runner_util/managed_tensor.h # ET is missing headers for vector/memory.  This causes downstream issues when building runner-et.
+  cp ${TORCHCHAT_ROOT}/scripts/fixes_et/module.cpp ${TORCHCHAT_ROOT}/build/src/executorch/extension/module/module.cpp # ET uses non-standard C++ that does not compile in GCC
+  cp ${TORCHCHAT_ROOT}/scripts/fixes_et/managed_tensor.h ${TORCHCHAT_ROOT}/build/src/executorch/extension/runner_util/managed_tensor.h # ET is missing headers for vector/memory.  This causes downstream issues when building runner-et.
 
   echo "Building and installing python libraries"
   echo "Building and installing python libraries"
@@ -50,14 +50,14 @@ install_executorch() {
   mkdir cmake-out
   cmake -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_OPTIMIZED=ON -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_XNNPACK=ON -S . -B cmake-out -G Ninja
   cmake --build cmake-out
-  cmake --install cmake-out --prefix ${TORCHAT_ROOT}/build/install
+  cmake --install cmake-out --prefix ${TORCHCHAT_ROOT}/build/install
   popd
 }
 
 
 ENABLE_ET_PYBIND="${1:-true}"
 
-pushd ${TORCHAT_ROOT}
+pushd ${TORCHCHAT_ROOT}
 install_pip_dependencies
 install_executorch $ENABLE_ET_PYBIND
 popd