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ci/official/requirements_updater/BUILD.bazel
load("@python//3.12:defs.bzl", compile_pip_requirements_3_12 = "compile_pip_requirements") load("@python//3.9:defs.bzl", compile_pip_requirements_3_9 = "compile_pip_requirements") load("@updater_config_repository//:updater_config_repository.bzl", "REQUIREMENTS_FILE_NAME") compile_pip_requirements_3_9( name = "requirements_3_9", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME,
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tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); NodeDef node_def_neg; ASSERT_TRUE(GetNodeDef(neg, &node_def_neg)); EXPECT_EQ(string("add"), node_def_neg.input(0)); // update edge of neg TF_UpdateEdge(graph, TF_Output{one, 0}, TF_Input{neg, 0}, s); ASSERT_TRUE(GetNodeDef(neg, &node_def_neg)); EXPECT_EQ(string("one:0"), node_def_neg.input(0)); // Clean up
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) -
RELEASE.md
* Solves an OOM issue on TPUs when XLA contexts use fused average updates * Updates `libjpeg-turbo` to `2.0.5` to handle [CVE-2020-13790](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13790). * Updates `junit` to `4.13.1` to handle [CVE-2020-15250](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15250). * Updates `PCRE` to `8.44` to handle
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ci/official/requirements_updater/WORKSPACE
load("@rules_python//python/pip_install:repositories.bzl", "pip_install_dependencies") default_python_version = "3.10" load( "//:updater_config_repository.bzl", "updater_config_repository", # @unused ) updater_config_repository(name = "updater_config_repository") python_register_multi_toolchains( name = "python", default_version = default_python_version, ignore_root_user_error = True,
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tensorflow/c/c_api.cc
"ApiDefMap is not supported on mobile."); return nullptr; #else mutex_lock l(api_def_map->lock); if (!api_def_map->update_docs_called) { api_def_map->api_def_map.UpdateDocs(); api_def_map->update_docs_called = true; } string name_str(name, name_len); const auto* api_def = api_def_map->api_def_map.GetApiDef(name_str); if (api_def == nullptr) {
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tensorflow/c/c_api_experimental.cc
if (!status->status.ok()) return; input_tensors_vector[i] = &input_tensor; } } // Create an inference context with dummy values, which will be updated later. InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def, std::vector<ShapeHandle>(num_inputs), input_tensors_vector, {},
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.bazelrc
build:rbe_linux_cpu --copt=-Wno-error=unused-command-line-argument # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp. # See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.
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ci/official/wheel.sh
# Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly # replace tensorflow to tf_nightly in the wheel name
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tensorflow/c/eager/c_api.cc
return; } else if (context->GetContextId() == tensorflow::EagerContext::kInvalidContextId) { status->status = tensorflow::errors::InvalidArgument( "Trying to update a context with invalid context id."); } status->status = tensorflow::unwrap(ctx)->GetDistributedManager()->SetOrUpdateServerDef( server_def, /*reset_context=*/false, keep_alive_secs,
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tensorflow/BUILD
name = "fuchsia", constraint_values = if_google( ["//third_party/bazel_platforms/os:fuchsia"], [], ), values = if_oss( # TODO(b/149248802) When we have a Fuchsia Bazel SDK update to use the values it sets. {"cpu": "fuchsia"}, {}, ), visibility = ["//visibility:public"], ) config_setting( name = "fuchsia_x86_64", constraint_values = if_google(
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