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tensorflow/api_template.__init__.py
_initializers = _KerasLazyLoader( globals(), submodule="initializers", name="initializers") setattr(_current_module, "losses", _losses) setattr(_current_module, "metrics", _metrics) setattr(_current_module, "optimizers", _optimizers) setattr(_current_module, "initializers", _initializers) # Do an eager load for Keras' code so that any function/method that needs to
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
tensorflow/c/eager/c_api.h
// Returns the device placement policy to be used by this context in the current // thread. TF_CAPI_EXPORT extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy(TFE_Context* ctx); // A tensorflow.ServerDef specifies remote workers (in addition to the current // workers name). Operations created in this context can then be executed on
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
ci/official/containers/linux_arm64/Dockerfile
# Install various tools. # - bats: bash unit testing framework # NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break # - bazelisk: always use the correct bazel version # - buildifier: clean bazel build deps # - buildozer: clean bazel build deps RUN git clone --branch v1.7.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# 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. build --copt=-Wno-gnu-offsetof-extensions
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
return bytes_transferred; }; for (size_t block_size = 2; block_size <= 4; block_size++) { // Make a cache of N-byte block size (1 block) and verify that reads of // varying offsets and lengths return correct data. tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0, fetcher); for (size_t offset = 0; offset < 10; offset++) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K 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/experimental/filesystem/plugins/gcs/expiring_lru_cache_test.cc
cache1.LookupOrCompute("a", &value, compute_func, &status); TF_EXPECT_OK(status.status); EXPECT_EQ(value, 1); EXPECT_EQ(num_compute_calls, 2); // Define a new cache with max_age > 0 and verify correct behavior. tf_gcs_filesystem::ExpiringLRUCache<int> cache2(2, 4); num_compute_calls = 0; value = -1; // Read our first value cache2.LookupOrCompute("a", &value, compute_func, &status);
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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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