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tensorflow/c/checkpoint_reader.h
class TensorSliceReader; // A wrapper around BundleReader (for V2 checkpoints) and // checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for // other languages. // // The class currently only interacts with single-slice (i.e., non-partitioned) // variables. class CheckpointReader { public: CheckpointReader(const string& filename, TF_Status* status); bool HasTensor(const string& name) const;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-other.md
- type: input id: Gpu attributes: label: GPU model and memory description: if compiling from source placeholder: validations: required: false - type: textarea id: what-happened attributes: label: Current Behaviour? description: Also tell us, what did you expect to happen? placeholder: Tell us what you see! value: "A bug happened!" render: shell validations: required: true
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ci/official/utilities/generate_index_html.sh
</head> <body> <h1>TensorFlow Job Logs and Links</h1> <h2>Job Details</h2> <ul> <li>Job name: $KOKORO_JOB_NAME</li> <li>Job pool: $KOKORO_JOB_POOL</li> <li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li> <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li>
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ci/official/wheel_test/README.md
description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the current build. It utilizes the `_api/v2/api_packages.txt` list of packages from the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime.
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tensorflow/c/eager/parallel_device/BUILD
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
calls++; memset(buffer, 'x', n); TF_SetStatus(status, TF_OK, ""); return n; }; std::vector<char> out; // Our fake environment is initialized with the current timestamp. std::unique_ptr<NowSecondsEnv> env(new NowSecondsEnv); uint64 now = Env::Default()->NowSeconds(); env->SetNowSeconds(now); tf_gcs_filesystem::RamFileBlockCache cache(
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tensorflow/c/c_api_internal.h
// TF_DeleteSession. // TF_Graph may only / must be deleted when // sessions.size() == 0 && delete_requested == true // // TODO(b/74949947): mutations currently trigger a warning instead of a bad // status, this should be reverted when possible. tensorflow::gtl::FlatMap<TF_Session*, tensorflow::string> sessions TF_GUARDED_BY(mu);
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
lru_list_.push_front(key); block->lru_iterator = lru_list_.begin(); } // Check for inconsistent state. If there is a block later in the same file // in the cache, and our current block is not block size, this likely means // we have inconsistent state within the cache. Note: it's possible some // incomplete reads may still go undetected. if (block->data.size() < block_size_) {
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// current test name. // // Since the test name contains `/` (due to parameters), this function // replaces `/` with `_`. // // We trade in one extra initialization for readability. ModularFileSystemTest() { const std::string test_name = tensorflow::str_util::StringReplace( ::testing::UnitTest::GetInstance()->current_test_info()->name(), "/",
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tensorflow/c/eager/c_api_test.cc
EXPECT_EQ(6, product[2]); EXPECT_EQ(8, product[3]); // When we turn on grappler, confirm that the tf.Add has been rewritten into a // tf.Mul. // This capability of checking the executed op names is currently only enabled // for TFRT debug build, for performance and simplicity reasons. if (use_tfrt) { TF_Buffer* buf = TF_NewBuffer(); TFE_GetExecutedOpNames(ctx, buf, status);
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