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tensorflow/c/experimental/ops/BUILD
load("//tensorflow:tensorflow.default.bzl", "filegroup") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") # Experimental ops. These will eventually be replaced by machine-generated versions. package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) cc_library( name = "array_ops", srcs = [ "array_ops.cc", ], hdrs = [ "array_ops.h",
Plain Text - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Nov 17 15:20:54 GMT 2022 - 3.7K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Nov 21 12:25:39 GMT 2023 - 5.8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ __attribute__ ((__alloc_size__ params)) + #include <iostream> using namespace std; diff --git a/sysdeps/aarch64/dl-machine.h b/sysdeps/aarch64/dl-machine.h index 185402f..bbdeae0 100644 --- a/sysdeps/aarch64/dl-machine.h +++ b/sysdeps/aarch64/dl-machine.h @@ -49,23 +49,11 @@ elf_machine_load_address (void) /* To figure out the load address we use the definition that for any symbol:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
ci/devinfra/docker_windows/Dockerfile
[Environment]::SetEnvironmentVariable('HOME', 'C:\Users\ContainerAdministrator\', 'Machine'); \ [Environment]::SetEnvironmentVariable('HOMEDRIVE', 'C:', 'Machine'); \ [Environment]::SetEnvironmentVariable('HOMEPATH', '\Users\ContainerAdministrator\', 'Machine'); \ [Environment]::SetEnvironmentVariable('GOROOT', 'C:\Program Files\Go\', 'Machine'); \
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CITATION.cff
title: TensorFlow, Large-scale machine learning on heterogeneous systems
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tensorflow/c/experimental/grappler/BUILD
"//tensorflow/core:framework", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler/clusters:single_machine", "//tensorflow/core/grappler/costs:graph_properties", "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder", "//tensorflow/core/protobuf:error_codes_proto_impl_cc", ],
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SECURITY.md
## TensorFlow models are programs TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to use a term commonly used by machine learning practitioners) are expressed as programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted
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.zenodo.json
{ "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.", "license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" }
Json - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue May 18 19:19:25 GMT 2021 - 741 bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
Status ModularFileSystem::GetMatchingPaths(const std::string& pattern, TransactionToken* token, std::vector<std::string>* result) { if (ops_->get_matching_paths == nullptr) return internal::GetMatchingPaths(this, Env::Default(), pattern, result); UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
TEST_P(ModularFileSystemTest, TestGetMatchingPaths) { const std::vector<std::string> matching_filenames = { GetURIForPath("a_file"), GetURIForPath("another_file"), }; const std::vector<std::string> other_filenames = { GetURIForPath("some_file"), GetURIForPath("yet_another_file"), }; for (const auto& filename : matching_filenames) { std::unique_ptr<WritableFile> file;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0)