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Results 1 - 6 of 6 for vec4 (0.18 sec)
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tensorflow/c/c_api_test.cc
const char data[] = {1, 2, 3}; const int64_t vec2_dims[] = {2}; unique_tensor_ptr vec2_tensor( Int8Tensor(vec2_dims, TF_ARRAYSIZE(vec2_dims), data), TF_DeleteTensor); TF_Operation* vec2 = Const(vec2_tensor.get(), graph, status, "vec2"); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const int64_t vec3_dims[] = {3}; unique_tensor_ptr vec3_tensor(
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/gradients/nn_grad.cc
} } } private: // TODO(b/174778737): Only hold needed outputs. vector<AbstractTensorHandle*> forward_outputs_; }; Status BroadcastMul(AbstractContext* ctx, AbstractTensorHandle* vec, AbstractTensorHandle* mat, absl::Span<AbstractTensorHandle*> outputs) { if (!isa<ImmediateExecutionContext>(ctx)) { // TODO(b/168850692): Fix this.
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api.cc
const int64_t* dims) { if (num_dims != -1) { std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec; dim_vec.reserve(num_dims); for (int i = 0; i < num_dims; ++i) { dim_vec.push_back(ic->MakeDim(dims[i])); } return ic->MakeShape(dim_vec); } else { return ic->UnknownShape(); } } } // namespace
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
} std::vector<tensorflow::CoordinatedTask> task_vec(tasks.length); auto* task_iter = static_cast<const tensorflow::CoordinatedTask*>(tasks.data); for (size_t i = 0; i < tasks.length; ++i) { task_vec[i].set_job_name(task_iter->job_name()); task_vec[i].set_task_id(task_iter->task_id()); ++task_iter; } auto results = coord_agent->GetTaskState(task_vec); if (!results.ok()) {
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
* Allow sparse float splits to support multivalent feature columns. * Add `quantile` to `tf.distributions.TransformedDistribution`. * Add `NCHW_VECT_C` support for `tf.depth_to_space` on GPU. * Add `NCHW_VECT_C` support for `tf.space_to_depth` on GPU. ## API Changes * Rename `SqueezeDims` attribute to `Axis` in C++ API for Squeeze op.
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) -
tensorflow/c/c_api_function.cc
std::vector<string> output_names_vec; if (output_names) { output_names_vec.reserve(noutputs); for (int i = 0; i < noutputs; ++i) { output_names_vec.push_back(string(output_names[i])); } } // Process control output names. std::vector<string> control_output_names_vec; if (control_output_names) { control_output_names_vec.reserve(ncontrol_outputs);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)