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tensorflow/c/experimental/filesystem/modular_filesystem.cc
} TF_Filesystem_Option option; memset(&option, 0, sizeof(option)); option.name = const_cast<char*>(name.c_str()); TF_Filesystem_Option_Value option_value; memset(&option_value, 0, sizeof(option_value)); option_value.type_tag = TF_Filesystem_Option_Type_Buffer; option_value.num_values = values.size(); std::vector<TF_Filesystem_Option_Value_Union> option_values(values.size());
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) -
CONTRIBUTING.md
`--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash bazel build --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g //tensorflow/tools/pip_package:build_pip_package ```
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tensorflow/c/eager/c_api_experimental_test.cc
auto* collection_registry = monitoring::CollectionRegistry::Default(); monitoring::CollectionRegistry::CollectMetricsOptions options; std::unique_ptr<monitoring::CollectedMetrics> metrics = collection_registry->CollectMetrics(options); EXPECT_EQ("test/counter", metrics->point_set_map.at("test/counter")->metric_name); EXPECT_EQ(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal)
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.github/workflows/arm-ci.yml
permissions: contents: read jobs: build: # Don't do this in forks, and if labeled, only for 'kokoro:force-run' if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run')) runs-on: [self-hosted, linux, ARM64] strategy: matrix: pyver: ['3.10'] steps:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_DeleteSessionOptions(opt); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); TF_Buffer* run_options = TF_NewBufferFromString("", 0); TF_Buffer* run_metadata = TF_NewBuffer(); TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0, nullptr, 0, run_metadata, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test.cc
// eager runtime. if (enable_grappler) { tensorflow::ConfigProto config; // Do not skip grappler optimization even for small graphs. config.mutable_graph_options() ->mutable_rewrite_options() ->set_min_graph_nodes(-1); string serialized_config; ASSERT_TRUE(config.SerializeToString(&serialized_config)); TFE_OpSetAttrString( op, "config_proto",
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/dlpack.cc
// There are two ways to represent compact row-major data // 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
.bazelrc
# This file tries to group and simplify build options for TensorFlow # # ----CONFIG OPTIONS---- # Android options: # android: # android_arm: # android_arm64: # android_x86: # android_x86_64: # # iOS options: # ios: # ios_armv7: # ios_arm64: # ios_x86_64: # ios_fat: # # Macosx options # darwin_arm64: # # Compiler options:
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RELEASE.md
and `tf.data.Dataset.range`. * Promote `tf.data.Options.experimental_deterministic` API to `tf.data.Options.deterministic` and deprecate the experimental endpoint. * Move autotuning options from`tf.data.Options.experimental_optimization.autotune*` to a newly created `tf.data.Options.autotune.*` and remove support for `tf.data.Options.experimental_optimization.autotune_buffers`.
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