8000 Removal of BAZEL build files from python package and changes to make cpp tests work [WIP] by apbose · Pull Request #3641 · pytorch/TensorRT · GitHub
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Removal of BAZEL build files from python package and changes to make cpp tests work [WIP] #3641

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Removal of BAZEL build files from python package and changes to make cpp tests work [WIP] #3641

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e5782c7
Remove Bazel files from wheel
mering Jun 25, 2025
356899f
changes for DLFW for l4t target and removal of BUILD files from package
apbose Jul 1, 2025
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27 changes: 24 additions & 3 deletions docker/MODULE.bazel.ngc
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< 8000 td id="diff-a3fd65c5db8150776684188b0f8e40c4f1b7afd57ee836d02df4b6c2d2622209R24" data-line-number="24" class="blob-num blob-num-context js-linkable-line-number js-blob-rnum">
Original file line number Diff line number Diff line change
Expand Up @@ -24,14 +24,17 @@ git_override(

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")


# External dependency for torch_tensorrt if you already have precompiled binaries.
local_repository(
new_local_repository(
name = "torch_tensorrt",
build_file = "@//third_party:BUILD",
path = "/usr/local/lib/python3.12/dist-packages/torch_tensorrt/",
)

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(
Expand All @@ -55,8 +58,26 @@ new_local_repository(
build_file = "third_party/libtorch/BUILD"
)

new_local_repository(
name = "torch_l4t",
path = "/usr/local/lib/python3.12/dist-packages/torch/",
build_file = "third_party/libtorch/BUILD"
)

new_local_repository(
name = "tensorrt",
path = "/usr/",
build_file = "@//third_party/tensorrt/local:BUILD"
)

new_local_repository(
name = "tensorrt_sbsa",
path = "/usr/",
build_file = "@//third_party/tensorrt/local:BUILD"
)

new_local_repository(
name = "tensorrt_l4t",
path = "/usr/",
build_file = "@//third_party/tensorrt/local:BUILD"
)
4 changes: 0 additions & 4 deletions setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -612,8 +612,6 @@ def run(self):
package_data.update(
{
"torch_tensorrt": [
"BUILD",
"WORKSPACE",
"include/torch_tensorrt/*.h",
"include/torch_tensorrt/core/*.h",
"include/torch_tensorrt/core/conversion/*.h",
Expand Down Expand Up @@ -643,8 +641,6 @@ def run(self):
package_data.update(
{
"torch_tensorrt": [
"BUILD",
"WORKSPACE",
"include/torch_tensorrt/*.h",
"include/torch_tensorrt/core/*.h",
"include/torch_tensorrt/core/runtime/*.h",
Expand Down
83 changes: 83 additions & 0 deletions third_party/BUILD
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94E9
Original file line number Diff line number Diff line change
@@ -0,0 +1,83 @@
load("@rules_cc//cc:cc_library.bzl", "cc_library")

package(default_visibility = ["//visibility:public"])

oad("@rules_cc//cc:defs.bzl", "cc_library")

config_setting(
name = "aarch64_linux",
constraint_values = [
"@platforms//cpu:aarch64",
"@platforms//os:linux",
],
)

config_setting(
name = "windows",
constraint_values = [
"@platforms//os:windows",
],
)

cc_library(
name = "libtorchtrt",
srcs = select({
":windows": [
"lib/x64/torchtrt.dll",
],
"//conditions:default": [
"lib/libtorchtrt.so",
],
}),
hdrs = glob([
"include/**/*.h",
]),
includes = ["include/"],
strip_include_prefix = "include",
)

cc_library(
name = "libtorchtrt_runtime",
srcs = select({
":windows": [
"lib/x64/torchtrt_runtime.dll",
],
"//conditions:default": [
"lib/libtorchtrt_runtime.so",
],
}),
)

cc_library(
name = "libtorchtrt_plugins",
srcs = select({
":windows": [
"lib/x64/torchtrt_plugins.dll",
],
"//conditions:default": [
"lib/libtorchtrt_plugins.so",
],
}),
hdrs = glob([
"include/torch_tensorrt/core/plugins/**/*.h",
]),
includes = ["include/"],
strip_include_prefix = "include",
)

cc_library(
name = "torch_tensorrt_core_hdrs",
hdrs = glob([
"include/torch_tensorrt/core/**/*.h",
]),
includes = ["include/torch_tensorrt/"],
strip_include_prefix = "include/torch_tensorrt",
)

# Alias for ease of use
cc_library(
name = "torch_tensorrt",
deps = [
":libtorchtrt",
],
)
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