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ci/official/utilities/code_check_changed_files.bats
if [[ "$(git rev-parse --abbrev-ref HEAD)" == "pull_branch" ]]; then # TF's CI runs 'git fetch origin "pull/PR#/merge:pull_branch"' # To get the as-merged branch during the CI tests git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else # If the branch is not present, then diff against origin/master
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ci/official/utilities/generate_index_html.sh
<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: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li> <li>Pull Request Link, if any: <a href="$KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow">${KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow:-none}</a></li>
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 20:26:13 GMT 2023 - 2.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); string device_name(dev); if (device_name.find("GPU:0") != string::npos) { has_gpu0 = true; } if (device_name.find("GPU:1") != string::npos) { has_gpu1 = true; } } const char* kCPUDevice = "CPU:0"; if (!has_gpu0 || !has_gpu1) { TF_DeleteDeviceList(devices); TF_DeleteTensor(t);
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/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
EXPECT_EQ(n, block_size); EXPECT_EQ(offset % block_size, 0); size_t bytes_to_copy = 0; if (offset == 0) { // The first block (16 bytes) of the file. memset(buffer, 'x', n); bytes_to_copy = n; first_block = true; } else if (offset == block_size) { // The second block (8 bytes) of the file. bytes_to_copy = file_size - block_size;
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) -
ci/official/envs/rbe
# This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable.
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tensorflow/c/c_api_test.cc
while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) { if (oper == feed) { EXPECT_FALSE(found_placeholder); found_placeholder = true; } else if (oper == three) { EXPECT_FALSE(found_scalar_const); found_scalar_const = true; } else if (oper == add) { EXPECT_FALSE(found_add); found_add = true; } else if (oper == neg) { EXPECT_FALSE(found_neg);
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/experimental/grappler/grappler_internal.h
class CGraphOptimizer : public CustomGraphOptimizer { public: explicit CGraphOptimizer(TP_Optimizer optimizer, const char* device_type) : optimizer_(optimizer), device_type_(device_type) { if (optimizer.create_func != nullptr) { c_optimizer_ = (*optimizer_.create_func)(); } else { c_optimizer_ = nullptr; } } std::string name() const override { return "PluggableGraphOptimizer"; }
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 08 08:58:23 GMT 2022 - 3.5K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { AbstractTensorHandle* loss; AbstractTensorHandle* backprop; TF_RETURN_IF_ERROR(ops::SparseSoftmaxCrossEntropyWithLogits( ctx, inputs[0], inputs[1], &loss, &backprop, "SparseSoftmaxCrossEntropyWithLogits")); // `gradient_checker` only works with model that returns only 1 tensor.
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K 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.
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