Fix typos from the latest version
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777482a626
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@ -2608,7 +2608,7 @@ def tf_py_build_info_genrule(name, out):
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+ " is_rocm_build=" + if_rocm("True", "False")
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+ " is_cuda_build=" + if_cuda("True", "False")
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# TODO(angerson) Can we reliably load CUDA compute capabilities here?
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if_windows(dict_to_kv({
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+ if_windows(dict_to_kv({
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"msvcp_dll_names": "msvcp140.dll,msvcp140_1.dll"
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}), "") + if_windows_cuda(dict_to_kv({
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"nvcuda_dll_name": "nvcuda.dll",
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@ -84,7 +84,7 @@ def write_build_info(filename, key_value_list):
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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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\"\"\"Auto-generated module providing information about the build.\"\"\""
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\"\"\"Auto-generated module providing information about the build.\"\"\"
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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@ -85,16 +85,18 @@ REQUIRED_PACKAGES = [
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'scipy == 1.2.2;python_version<"3"',
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]
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# Generate a footer describing the CUDA technology this release was built
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# against.
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GPU_DESCRIPTION = ''
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if build_info.build_info['is_cuda_build']:
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gpu_header = (f'\nTensorFlow {_VERSION} for NVIDIA GPUs was built with these '
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'platform and library versions:\n\n - ')
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cbi = build_info.cuda_build_info
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trt_ver = cbi['tensorrt_version']
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nccl_ver = cbi['nccl_version']
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bi = build_info.build_info
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trt_ver = bi['tensorrt_version']
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nccl_ver = bi['nccl_version']
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GPU_DESCRIPTION = gpu_header + '\n - '.join([
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'NVIDIA CUDA ' + cbi['cuda_version'],
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'NVIDIA cuDNN ' + cbi['cudnn_version'],
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'NVIDIA CUDA ' + bi['cuda_version'],
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'NVIDIA cuDNN ' + bi['cudnn_version'],
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'NVIDIA NCCL ' + 'not enabled' if not nccl_ver else nccl_ver,
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'NVIDIA TensorRT ' + 'not enabled' if not trt_ver else trt_ver,
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])
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@ -303,7 +305,7 @@ setup(
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zip_safe=False,
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# Accessible with importlib.metadata.metadata('tf-pkg-name').items()
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platforms=[
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f'{key}:{value}' for key, value in build_info.cuda_build_info.items()
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f'{key}:{value}' for key, value in build_info.build_info.items()
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],
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distclass=BinaryDistribution,
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cmdclass={
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