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tensorflow/c/eager/dlpack.cc
bool valid = true; int64_t expected_stride = 1; for (int i = ndim - 1; i >= 0; --i) { // Empty tensors are always compact regardless of strides. if (shape_arr[i] == 0) return true; // Note that dimensions with size=1 can have any stride. if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) { valid = false; } expected_stride *= shape_arr[i]; } return valid; }
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) -
tensorflow/c/eager/immediate_execution_context.h
// will take ownership and maintain devices' lifetime. virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0; // Add a function (serialized FunctionDef protocol buffer) so that it can // be executed as an op. Return error if the function with the same name // already exists.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
ci/official/requirements_updater/requirements.in
astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a
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ci/official/envs/public_cache_push
# limitations under the License. # ============================================================================== # Sourcing this enables Bazel remote cache (read and write) # Note that "_push" cache configs write to GCS buckets and require # authentication. If you are not a Googler, source "public_cache" to enable the # public read-only cache. # The cache configs are different for MacOS and Linux
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tensorflow/c/c_api_function_test.cc
const std::unordered_set<string>& nodes) { ASSERT_EQ(nodes.size(), fdef.node_def_size()) << "Got unexpected number of nodes. Expected: [" << absl::StrJoin(nodes, ", ") << "] Actual nodes in fdef: " << fdef.DebugString(); for (const NodeDef& node_def : fdef.node_def()) { ASSERT_TRUE(nodes.find(node_def.name()) != nodes.end()) << "Got unexpected node: " << node_def.name()
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
ci/official/pycpp.sh
else tfrun bazel test $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test" fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 06 17:29:44 GMT 2024 - 1.3K bytes - Viewed (0) -
ci/official/libtensorflow.sh
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 19:07:48 GMT 2024 - 1.5K bytes - Viewed (0) -
ci/official/wheel.sh
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \; tfrun ./ci/official/utilities/rename_and_verify_wheels.sh if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files. gsutil cp -n "$TFCI_OUTPUT_DIR"/*.whl "$TFCI_ARTIFACT_STAGING_GCS_URI" fi if [[ "$TFCI_WHL_BAZEL_TEST_ENABLE" == 1 ]]; then
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tensorflow/c/eager/c_api_experimental.cc
status->status = absl::OkStatus(); } TFE_Executor* TFE_NewExecutor(bool is_async, bool enable_streaming_enqueue, int in_flight_nodes_limit) { return new TFE_Executor(is_async, enable_streaming_enqueue, in_flight_nodes_limit); } void TFE_DeleteExecutor(TFE_Executor* executor) { delete executor; } bool TFE_ExecutorIsAsync(TFE_Executor* executor) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/BUILD
define_values = {"override_eigen_strong_inline": "true"}, visibility = ["//visibility:public"], ) # This flag specifies whether TensorFlow 2.0 API should be built instead # of 1.* API. Note that TensorFlow 2.0 API is currently under development. config_setting( name = "api_version_2", define_values = {"tf_api_version": "2"}, visibility = ["//visibility:public"], )
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