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tensorflow/c/c_api_test.cc
const int64_t n = data.size(); Status status; for (const std::vector<int64_t>& dims : std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) { // Create C++ Tensor Tensor src(tensorflow::DT_STRING, TensorShape(dims)); for (int64_t i = 0; i < src.NumElements(); ++i) { src.flat<tstring>()(i) = data[i]; }
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/c_test.c
#endif #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_experimental.h" #include "tensorflow/c/env.h" #include "tensorflow/c/kernels.h" // A create function. This will never actually get called in this test, it's // just nice to know that it compiles. void* create(TF_OpKernelConstruction* ctx) { TF_DataType type; TF_Status* s = TF_NewStatus(); TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/c_api.cc
export_dir, tag_set, &bundle); if (!status->status.ok()) return nullptr; // Create a TF_Graph from the MetaGraphDef. This is safe as long as Session // extends using GraphDefs. The Graph instance is different, but equivalent // to the one used to create the session. // // TODO(jhseu): When Session is modified to take Graphs instead of
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
ci/official/README.md
export TFCI=py311,linux_x86,public_cache,disk_cache # Recommended: Configure Docker. (Linux only) # # TF uses hub.docker.com/r/tensorflow/build containers for CI, # and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI
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CONTRIBUTING.md
test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799). 2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts. ```bash
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tensorflow/c/eager/c_api_experimental.h
// The context should be identical to that of the Tensor. TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor( TFE_Context* ctx, TF_Tensor* t, TF_Status* status); // Create a packed TensorHandle with the given list of TensorHandles. // If `handles` are on the same device, assign the same device to the packed // handle; if `handles` are on different deivces, assign a CompositeDevice to // it.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.h
void (*delete_func)(void*), TF_Status* status); // If the ResourceMgr provided by the `ctx` has a resource // `plugin_resource_name`, returns it in `*result_plugin_resource`. Otherwise, // invokes create_func to create the resource. `delete_func` is needed for // ResourceMgr to clean up the resource. `status` will be set. If `status` is // not OK, `*result_plugin_resource` will be set as nullptr. //
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Dec 20 20:01:06 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
TFE_MonitoringSampler0* TFE_MonitoringNewSampler0( const char* name, TFE_MonitoringBuckets* buckets, TF_Status* status, const char* description) { auto* result = new TFE_MonitoringSampler0( {name, buckets->create_buckets(), description}); tsl::Set_TF_Status_from_Status(status, result->sampler->GetStatus()); if (!result->sampler->GetStatus().ok()) { delete result; return nullptr; } return result; }
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/c/eager/c_api_test_util.cc
return th; } TFE_TensorHandle* TestVariable(TFE_Context* ctx, float value, const tensorflow::string& device_name) { TF_Status* status = TF_NewStatus(); // Create the variable handle. TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpSetAttrShape(op, "shape", {}, 0, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
RELEASE.md
optimizer. * **Learning rate schedule access.** When using a `LearningRateSchedule`, The new optimizer's `learning_rate` property returns the current learning rate value instead of a `LearningRateSchedule` object as before. If you need to access the `LearningRateSchedule` object, please use `optimizer._learning_rate`.
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