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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) -
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) -
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`.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
configure.py
'Android builds?'), 'Searching for NDK and SDK installations.', 'Not configuring the WORKSPACE for Android builds.'): create_android_ndk_rule(environ_cp) create_android_sdk_rule(environ_cp) system_specific_test_config(environ_cp) configure_ios(environ_cp) print('Preconfigured Bazel build configs. You can use any of the below by '
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
status->status = TF_TensorToTensor(input_tensors[i], &input_tensor); if (!status->status.ok()) return; input_tensors_vector[i] = &input_tensor; } } // Create an inference context with dummy values, which will be updated later. InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def, std::vector<ShapeHandle>(num_inputs), input_tensors_vector,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
.bazelrc
# Configure short or long logs build:short_logs --output_filter=DONT_MATCH_ANYTHING build:verbose_logs --output_filter= # Instruction set optimizations # TODO(gunan): Create a feature in toolchains for avx/avx2 to # avoid having to define linux/win separately. build:avx_linux --copt=-mavx build:avx_linux --host_copt=-mavx build:avx_win --copt=/arch:AVX
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2)