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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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ci/official/containers/linux_arm64/devel.packages.txt
autoconf automake build-essential ca-certificates llvm-17 clang-17 clang-format-12 lld-17 colordiff curl ffmpeg gdb git jq less libcurl3-dev libcurl4-openssl-dev libfreetype6-dev libhdf5-serial-dev libomp-17-dev libssl-dev libtool libxml2-dev libxslt1-dev libzmq3-dev mlocate moreutils openjdk-11-jdk openjdk-11-jre-headless openssl patchelf pkg-config python3-dev
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.bazelrc
# CPU WHEEL test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:linux_cpu_wheel_test_filters --build_tag_filters=-no_oss,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310
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tensorflow/c/eager/parallel_device/parallel_device.cc
// TODO(allenl): We should remove "TPU" from these op names at the very least, // or consider other ways of packing/unpacking parallel tensors. if (operation_name == std::string("TPUReplicatedInput")) { // Special-cased operation for packing per-device tensors into one parallel // tensor. if (inputs.size() != parallel_device.num_underlying_devices()) { std::string message(absl::StrCat(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op.get(), "dtype", type); TFE_OpSetAttrShape(op.get(), "shape", dims, num_dims, status); TFE_OpSetAttrString(op.get(), "container", "", 0); // Use the special GUID for no buffer sharing // // TODO(allenl): Should we provide a better API for this? AFAIK this is the // only reasonable way to make variables with no aliasing using the eager C // API.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/c_api.h
// If set to 0, the function's name will be `fn_name`. // num_opers - `num_opers` contains the number of elements in the `opers` array // or a special value of -1 meaning that no array is given. // The distinction between an empty array of operations and no // array of operations is necessary to distinguish the case of
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
configure.py
test_and_build_filters = ['-benchmark-test', '-no_oss', '-oss_excluded'] # Additional filters for --test_tag_filters beyond those in # test_and_build_filters test_only_filters = ['-oss_serial'] if is_windows(): test_and_build_filters += ['-no_windows', '-windows_excluded'] if ((environ_cp.get('TF_NEED_CUDA', None) == '1') or (environ_cp.get('TF_NEED_ROCM', None) == '1')):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
SECURITY.md
implement, and therefore security issues deriving from their absence are not considered a vulnerability in TensorFlow. ### Resource allocation A denial of service caused by one model could bring down the entire server, but we don't consider this as a vulnerability, given that models can exhaust resources in many different ways and solutions exist to prevent this from
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RELEASE.md
* Fixes a missing validation which causes denial of service via `DeleteSessionTensor` ([CVE-2022-29194](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29194)) * Fixes a missing validation which causes denial of service via `GetSessionTensor` ([CVE-2022-29191](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29191))
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