preconfig: remove checked in rocm and cuda10.0 configs as these configurations are placed by remote config
PiperOrigin-RevId: 296152981 Change-Id: Ib19efb421a63a3b2e87d862eda3a34816e8a3890
This commit is contained in:
Jakob Buchgraber
TensorFlower Gardener
parent
2b418823ef
commit
8c88f62d83
@ -247,8 +247,6 @@ tensorflow/third_party/toolchains/preconfig/ubuntu16.04/clang/cc_toolchain_confi
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/clang/dummy_toolchain.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/clang_manylinux2010-cuda10.0/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/clang_manylinux2010-cuda10.0/cc_toolchain_config.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/cuda10.0-cudnn7/cuda/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/cuda10.0-cudnn7/cuda/build_defs.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/cuda10.1-cudnn7/cuda/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/cuda10.1-cudnn7/cuda/build_defs.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/gcc5-rocm/BUILD
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@ -262,11 +260,6 @@ tensorflow/third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010/cc_to
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010/dummy_toolchain.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/py/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/py3/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/py3_opt/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/rocm/rocm/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/rocm/rocm/build_defs.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/tensorrt5.1/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/tensorrt5.1/build_defs.bzl
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/tensorrt5/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/tensorrt6.0/BUILD
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tensorflow/third_party/toolchains/preconfig/ubuntu16.04/tensorrt6.0/build_defs.bzl
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26
third_party/toolchains/BUILD
vendored
26
third_party/toolchains/BUILD
vendored
@ -74,19 +74,6 @@ platform(
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},
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)
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# Built with //tensorflow/tools/ci_build/Dockerfile.rbe.cuda10.0-cudnn7-ubuntu16.04-manylinux2010.
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platform(
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name = "rbe_cuda10.0-cudnn7-ubuntu16.04-manylinux2010",
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constraint_values = [
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"@bazel_tools//platforms:x86_64",
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"@bazel_tools//platforms:linux",
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],
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exec_properties = {
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"container-image": "docker://gcr.io/tensorflow-testing/nosla-cuda10.0-cudnn7-ubuntu16.04-manylinux2010@%s" % container_digests["cuda10.0-cudnn7-ubuntu16.04-manylinux2010"],
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"Pool": "default",
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},
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)
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# Built with //tensorflow/tools/ci_build/Dockerfile.rbe.cuda10.1-cudnn7-ubuntu16.04-manylinux2010.
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platform(
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name = "rbe_cuda10.1-cudnn7-ubuntu16.04-manylinux2010",
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@ -99,16 +86,3 @@ platform(
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"Pool": "default",
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},
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)
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# Built with //tensorflow/tools/ci_build/Dockerfile.rbe.rocm-ubuntu16.04
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platform(
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name = "rbe_rocm-ubuntu16.04",
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constraint_values = [
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"@bazel_tools//platforms:x86_64",
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"@bazel_tools//platforms:linux",
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],
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exec_properties = {
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"container-image": "docker://gcr.io/tensorflow-testing/nosla-rocm-ubuntu16.04@%s" % container_digests["rocm-ubuntu16.04"],
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"Pool": "default",
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},
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)
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20
third_party/toolchains/preconfig/generate/BUILD
vendored
20
third_party/toolchains/preconfig/generate/BUILD
vendored
@ -91,18 +91,6 @@ tensorflow_rbe_config(
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python_version = "3.6",
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)
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tensorflow_rbe_config(
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name = "ubuntu16.04-py3-gcc7_manylinux2010-cuda10.0-cudnn7-tensorrt5.1",
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compiler = "/dt7/usr/bin/gcc",
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compiler_prefix = "/usr/bin",
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cuda_version = "10.0",
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cudnn_version = "7",
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os = "ubuntu16.04-manylinux2010",
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python_version = "3",
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tensorrt_install_path = "/usr",
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tensorrt_version = "5.1",
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)
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tensorflow_rbe_config(
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name = "ubuntu16.04-py3-clang_manylinux2010-cuda10.0-cudnn7-tensorrt5.1",
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compiler = "/clang_r373795/bin/clang",
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@ -138,11 +126,3 @@ tensorflow_rbe_config(
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tensorrt_install_path = "/usr",
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tensorrt_version = "6.0",
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)
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tensorflow_rbe_config(
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name = "ubuntu16.04-py3_opt-gcc5-rocm",
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compiler = "gcc",
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os = "ubuntu16.04",
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python_version = "3",
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rocm_version = "2.5", # Any version will do.
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)
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@ -1,2 +0,0 @@
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# DO NOT EDIT: automatically generated WORKSPACE file for cuda_configure rule
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workspace(name = "local_config_cuda")
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File diff suppressed because it is too large
Load Diff
@ -1,76 +0,0 @@
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# Macros for building CUDA code.
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def if_cuda(if_true, if_false = []):
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"""Shorthand for select()'ing on whether we're building with CUDA.
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Returns a select statement which evaluates to if_true if we're building
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with CUDA enabled. Otherwise, the select statement evaluates to if_false.
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"""
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return select({
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"@local_config_cuda//cuda:using_nvcc": if_true,
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"@local_config_cuda//cuda:using_clang": if_true,
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"//conditions:default": if_false,
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})
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def if_cuda_clang(if_true, if_false = []):
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"""Shorthand for select()'ing on wheteher we're building with cuda-clang.
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Returns a select statement which evaluates to if_true if we're building
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with cuda-clang. Otherwise, the select statement evaluates to if_false.
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"""
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return select({
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"@local_config_cuda//cuda:using_clang": if_true,
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"//conditions:default": if_false,
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})
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def cuda_default_copts():
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"""Default options for all CUDA compilations."""
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return if_cuda(["-x", "cuda", "-DGOOGLE_CUDA=1"]) + if_cuda_clang(["--cuda-gpu-arch=sm_30", "--cuda-gpu-arch=sm_60"])
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def cuda_is_configured():
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"""Returns true if CUDA was enabled during the configure process."""
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return True
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def if_cuda_is_configured(x):
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"""Tests if the CUDA was enabled during the configure process.
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Unlike if_cuda(), this does not require that we are building with
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--config=cuda. Used to allow non-CUDA code to depend on CUDA libraries.
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"""
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if cuda_is_configured():
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return select({"//conditions:default": x})
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return select({"//conditions:default": []})
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def cuda_header_library(
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name,
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hdrs,
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include_prefix = None,
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strip_include_prefix = None,
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deps = [],
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**kwargs):
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"""Generates a cc_library containing both virtual and system include paths.
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Generates both a header-only target with virtual includes plus the full
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target without virtual includes. This works around the fact that bazel can't
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mix 'includes' and 'include_prefix' in the same target."""
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native.cc_library(
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name = name + "_virtual",
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hdrs = hdrs,
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include_prefix = include_prefix,
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strip_include_prefix = strip_include_prefix,
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deps = deps,
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visibility = ["//visibility:private"],
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)
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native.cc_library(
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name = name,
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textual_hdrs = hdrs,
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deps = deps + [":%s_virtual" % name],
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**kwargs
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)
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def cuda_library(copts = [], **kwargs):
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"""Wrapper over cc_library which adds default CUDA options."""
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native.cc_library(copts = cuda_default_copts() + copts, **kwargs)
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@ -1,27 +0,0 @@
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/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
|
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You may obtain a copy of the License at
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|
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http://www.apache.org/licenses/LICENSE-2.0
|
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|
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Unless required by applicable law or agreed to in writing, software
|
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distributed under the License is distributed on an "AS IS" BASIS,
|
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef CUDA_CUDA_CONFIG_H_
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#define CUDA_CUDA_CONFIG_H_
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#define TF_CUDA_CAPABILITIES CudaVersion("3.0"), CudaVersion("6.0")
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#define TF_CUDA_VERSION "10.0"
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#define TF_CUDA_LIB_VERSION "10.0"
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#define TF_CUDNN_VERSION "7"
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#define TF_CUDA_TOOLKIT_PATH "/usr/local/cuda-10.0"
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#endif // CUDA_CUDA_CONFIG_H_
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File diff suppressed because one or more lines are too long
@ -1,2 +0,0 @@
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# DO NOT EDIT: automatically generated WORKSPACE file for python_configure rule
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workspace(name = "local_config_python")
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@ -1,2 +0,0 @@
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# DO NOT EDIT: automatically generated WORKSPACE file for rocm_configure rule
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workspace(name = "local_config_rocm")
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File diff suppressed because it is too large
Load Diff
@ -1,44 +0,0 @@
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# Macros for building ROCm code.
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def if_rocm(if_true, if_false = []):
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"""Shorthand for select()'ing on whether we're building with ROCm.
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Returns a select statement which evaluates to if_true if we're building
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with ROCm enabled. Otherwise, the select statement evaluates to if_false.
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"""
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return select({
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"@local_config_rocm//rocm:using_hipcc": if_true,
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"//conditions:default": if_false,
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})
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def rocm_default_copts():
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"""Default options for all ROCm compilations."""
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return if_rocm(["-x", "rocm"] + [])
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def rocm_copts(opts = []):
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"""Gets the appropriate set of copts for (maybe) ROCm compilation.
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If we're doing ROCm compilation, returns copts for our particular ROCm
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compiler. If we're not doing ROCm compilation, returns an empty list.
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"""
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return rocm_default_copts() + select({
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"//conditions:default": [],
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"@local_config_rocm//rocm:using_hipcc": ([
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"",
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]),
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}) + if_rocm_is_configured(opts)
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def rocm_is_configured():
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"""Returns true if ROCm was enabled during the configure process."""
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return True
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def if_rocm_is_configured(x):
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"""Tests if the ROCm was enabled during the configure process.
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Unlike if_rocm(), this does not require that we are building with
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--config=rocm. Used to allow non-ROCm code to depend on ROCm libraries.
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"""
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if rocm_is_configured():
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return x
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return []
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@ -1,21 +0,0 @@
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/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
|
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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.
|
||||
==============================================================================*/
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#ifndef ROCM_ROCM_CONFIG_H_
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#define ROCM_ROCM_CONFIG_H_
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#define TF_ROCM_TOOLKIT_PATH "/opt/rocm"
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#endif // ROCM_ROCM_CONFIG_H_
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@ -1,63 +0,0 @@
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# NVIDIA TensorRT
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# A high-performance deep learning inference optimizer and runtime.
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licenses(["notice"])
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load("@local_config_cuda//cuda:build_defs.bzl", "cuda_default_copts")
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load("@bazel_skylib//:bzl_library.bzl", "bzl_library")
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package(default_visibility = ["//visibility:public"])
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exports_files(["LICENSE"])
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cc_library(
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name = "tensorrt_headers",
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hdrs = [
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"tensorrt/include/tensorrt_config.h",
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":tensorrt_include",
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],
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include_prefix = "third_party/tensorrt",
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strip_include_prefix = "tensorrt/include",
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)
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cc_library(
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name = "tensorrt",
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srcs = [":tensorrt_lib"],
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copts = cuda_default_copts(),
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data = [":tensorrt_lib"],
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linkstatic = 1,
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deps = [
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":tensorrt_headers",
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"@local_config_cuda//cuda",
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],
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)
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bzl_library(
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name = "build_defs_bzl",
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srcs = ["build_defs.bzl"],
|
||||
deps = [
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||||
"@bazel_skylib//lib:selects",
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||||
],
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)
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genrule(
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||||
name = "tensorrt_lib",
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||||
outs = [
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"tensorrt/lib/libnvinfer.so.5",
|
||||
"tensorrt/lib/libnvinfer_plugin.so.5",
|
||||
],
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cmd = """cp -f "/usr/lib/x86_64-linux-gnu/libnvinfer.so.5" "$(location tensorrt/lib/libnvinfer.so.5)" && \
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cp -f "/usr/lib/x86_64-linux-gnu/libnvinfer_plugin.so.5" "$(location tensorrt/lib/libnvinfer_plugin.so.5)" """,
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)
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genrule(
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name = "tensorrt_include",
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||||
outs = [
|
||||
"tensorrt/include/NvInfer.h",
|
||||
"tensorrt/include/NvUtils.h",
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||||
"tensorrt/include/NvInferPlugin.h",
|
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],
|
||||
cmd = """cp -f "/usr/include/x86_64-linux-gnu/NvInfer.h" "$(location tensorrt/include/NvInfer.h)" && \
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||||
cp -f "/usr/include/x86_64-linux-gnu/NvUtils.h" "$(location tensorrt/include/NvUtils.h)" && \
|
||||
cp -f "/usr/include/x86_64-linux-gnu/NvInferPlugin.h" "$(location tensorrt/include/NvInferPlugin.h)" """,
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||||
)
|
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@ -1,203 +0,0 @@
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||||
Copyright 2018 The TensorFlow Authors. All rights reserved.
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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||||
|
||||
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END OF TERMS AND CONDITIONS
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|
||||
APPENDIX: How to apply the Apache License to your work.
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|
||||
To apply the Apache License to your work, attach the following
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Copyright 2018, The TensorFlow Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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Unless required by applicable law or agreed to in writing, software
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See the License for the specific language governing permissions and
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|
||||
@ -1,2 +0,0 @@
|
||||
# DO NOT EDIT: automatically generated WORKSPACE file for tensorrt_configure rule
|
||||
workspace(name = "local_config_tensorrt")
|
||||
@ -1,5 +0,0 @@
|
||||
# Build configurations for TensorRT.
|
||||
|
||||
def if_tensorrt(if_true, if_false = []):
|
||||
"""Tests whether TensorRT was enabled during the configure process."""
|
||||
return if_true
|
||||
@ -1,21 +0,0 @@
|
||||
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
|
||||
|
||||
Licensed 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.
|
||||
==============================================================================*/
|
||||
|
||||
#ifndef TENSORRT_TENSORRT_INCLUDE_CONFIG_H_
|
||||
#define TENSORRT_TENSORRT_INCLUDE_CONFIG_H_
|
||||
|
||||
#define TF_TENSORRT_VERSION "5"
|
||||
|
||||
#endif // TENSORRT_TENSORRT_INCLUDE_CONFIG_H_
|
||||
Loading…
Reference in New Issue
Block a user