Fix docker build issue

docker/Dockerfile

@@ -67,9 +67,13 @@ RUN apt-get update &&\
 
 FROM torch-tensorrt-builder-base as torch-tensorrt-builder
 
+RUN curl -L https://github.com/a8m/envsubst/releases/download/v1.2.0/envsubst-`uname -s`-`uname -m` -o envsubst &&\
+    chmod +x envsubst && mv envsubst /usr/local/bin
+
 COPY . /workspace/torch_tensorrt/src
 WORKDIR /workspace/torch_tensorrt/src
-RUN cp ./docker/WORKSPACE.docker WORKSPACE
+
+RUN cat ./docker/MODULE.bazel.docker | envsubst > MODULE.bazel
 
 # Symlink the path pyenv is using for python with the /opt directory for package sourcing
 RUN mkdir -p "/opt/python3/" &&\
@@ -99,8 +103,12 @@ RUN mkdir -p "/opt/python3/" &&\
 
 COPY --from=torch-tensorrt-builder  /workspace/torch_tensorrt/src/dist/ .
 
-RUN cp /opt/torch_tensorrt/docker/WORKSPACE.docker /opt/torch_tensorrt/WORKSPACE &&\
-    pip install -r /opt/torch_tensorrt/py/requirements.txt &&\
+RUN curl -L https://github.com/a8m/envsubst/releases/download/v1.2.0/envsubst-`uname -s`-`uname -m` -o envsubst &&\
+    chmod +x envsubst && mv envsubst /usr/local/bin
+
+RUN cat ./docker/MODULE.bazel.docker | envsubst > MODULE.bazel
+
+RUN pip install -r /opt/torch_tensorrt/py/requirements.txt &&\
     # Install all dependency wheel files and user-specified TensorRT
     pip install *.whl &&\
     pip install tensorrt==${TENSORRT_VERSION}.* &&\

docker/MODULE.bazel.docker

@@ -0,0 +1,77 @@
+module(
+    name = "torch_tensorrt",
+    repo_name = "org_pytorch_tensorrt",
+    version = "${BUILD_VERSION}"
+)
+
+bazel_dep(name = "googletest", version = "1.14.0")
+bazel_dep(name = "platforms", version = "0.0.10")
+bazel_dep(name = "rules_cc", version = "0.0.9")
+bazel_dep(name = "rules_python", version = "0.34.0")
+
+python = use_extension("@rules_python//python/extensions:python.bzl", "python")
+python.toolchain(
+    ignore_root_user_error = True,
+    python_version = "3.11",
+)
+
+bazel_dep(name = "rules_pkg", version = "1.0.1")
+git_override(
+    module_name = "rules_pkg",
+    commit = "17c57f4",
+    remote = "https://github.com/narendasan/rules_pkg",
+)
+
+local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "local_repository")
+
+
+new_local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "new_local_repository")
+
+# CUDA should be installed on the system locally
+new_local_repository(
+    name = "cuda",
+    build_file = "@//third_party/cuda:BUILD",
+    path = "/usr/local/cuda",
+)
+
+http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
+
+####################################################################################
+# Locally installed dependencies (use in cases of custom dependencies or aarch64)
+####################################################################################
+
+# NOTE: In the case you are using just the pre-cxx11-abi path or just the cxx11 abi path
+# with your local libtorch, just point deps at the same path to satisfy bazel.
+
+# NOTE: NVIDIA's aarch64 PyTorch (python) wheel file uses the CXX11 ABI unlike PyTorch's standard
+# x86_64 python distribution. If using NVIDIA's version just point to the root of the package
+# for both versions here and do not use --config=pre-cxx11-abi
+
+new_local_repository(
+    name = "libtorch",
+    path = "/opt/python3/site-packages/torch/",
+    build_file = "third_party/libtorch/BUILD"
+)
+
+new_local_repository(
+    name = "libtorch_pre_cxx11_abi",
+    path = "/opt/python3/site-packages/torch/",
+    build_file = "third_party/libtorch/BUILD"
+)
+
+new_local_repository(
+    name = "tensorrt",
+    path = "/usr/",
+    build_file = "@//third_party/tensorrt/local:BUILD"
+)
+
+pip = use_extension("@rules_python//python/extensions:pip.bzl", "pip")
+
+pip.parse(
+    download_only = True,
+    hub_name = "pypi",
+    python_version = ${PYTHON_VERSION},
+    requirements_lock = "//:requirements_dev.txt",
+)
+
+use_repo(pip, "pypi")

docker/dist-build.sh

@@ -1,5 +1,7 @@
 #!/bin/bash
 
+set -x
+
 TOP_DIR=$(cd $(dirname $0); pwd)/..
 
 if [[ -z "${USE_CXX11}" ]]; then

py/requirements.txt

@@ -2,7 +2,8 @@ numpy
 packaging
 pybind11==2.6.2
 --extra-index-url https://download.pytorch.org/whl/nightly/cu124
-torch>=2.5.0.dev,<2.6.0
+# it is trying to download all the torch versions from 0808 back to 0617 to find the matching torchvision 0.19.0 which cause disk space to be full
+torch>=2.5.0.dev20240617,<2.5.0.dev20240618
 torchvision>=0.19.0.dev,<0.20.0
 --extra-index-url https://pypi.ngc.nvidia.com
 pyyaml