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src/main/webapp/js/admin/plugins/form-validator/security.js
/** File generated by Grunt -- do not modify * JQUERY-FORM-VALIDATOR * * @version 2.3.77 * @website http://formvalidator.net/ * @author Victor Jonsson, http://victorjonsson.se * @license MIT */
JavaScript - Registered: Mon Apr 29 08:04:11 GMT 2024 - Last Modified: Mon Jan 01 05:12:47 GMT 2018 - 10.5K bytes - Viewed (0) -
src/main/webapp/js/admin/plugins/form-validator/jquery.form-validator.min.js
/** File generated by Grunt -- do not modify * JQUERY-FORM-VALIDATOR * * @version 2.3.77 * @website http://formvalidator.net/ * @author Victor Jonsson, http://victorjonsson.se * @license MIT */
JavaScript - Registered: Mon Apr 29 08:04:11 GMT 2024 - Last Modified: Mon Jan 01 05:12:47 GMT 2018 - 32.8K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
: public std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)> { public: template <typename lambda_type> explicit ForwardFunction(lambda_type lambda) : std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)>(lambda) {} }; // Computes Jacobian-vector products using forward-mode automatic
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental.cc
double growth_factor, int bucket_count) { return new TFE_MonitoringBuckets([scale, growth_factor, bucket_count]() { return tensorflow::monitoring::Buckets::Exponential(scale, growth_factor, bucket_count); }); }
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/parallel_device/parallel_device_lib_test.cc
TensorHandlePtr three_vector = VectorFloatTensorHandle({5., 6., 7.}, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::vector<TensorHandlePtr> vector_handles; vector_handles.reserve(2); vector_handles.push_back(std::move(two_vector)); vector_handles.push_back(std::move(three_vector)); std::unique_ptr<ParallelTensor> unknown_length_vector =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
Status Shape(const std::vector<int64_t>** shape) const; TF_DataType dtype() const { return dtype_; } // Sets its output argument to a summary of the values of this tensor on every // component device. Status SummarizeValue(std::string& summary); std::vector<TensorHandlePtr> release_tensors() { return std::move(tensors_); } std::vector<TFE_TensorHandle*> tensors() const {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} } absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> ParallelDevice::Join( const std::vector<PartialTensorShape>& expected_output_shapes, TF_Status* status) const { absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> result; // Compute per-device per-output tensors std::vector<std::vector<TensorHandlePtr>> per_device_output_tensors;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
device->delete_device = &DeleteParallelDevice; device->execute = &ParallelDeviceExecute; std::vector<std::string> underlying_devices_vector; underlying_devices_vector.reserve(num_underlying_devices); for (int device_index = 0; device_index < num_underlying_devices; ++device_index) { underlying_devices_vector.push_back(underlying_devices[device_index]); } std::unique_ptr<ParallelDevice> parallel_device(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
// Process inputs. std::vector<tensorflow::OutputTensor> input_tensors; std::unordered_map<const Node*, std::vector<int>> input_nodes; status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs, &input_tensors, &input_nodes); if (TF_GetCode(status) != TF_OK) return nullptr; // Process outputs. std::vector<tensorflow::OutputTensor> output_tensors;
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) -
tensorflow/c/c_api_experimental.cc
if (!status->status.ok()) return; // Initialize a input_tensor vector with `nullptr` values. std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr); // A vector to keep track of newly created `tf::Tensor` objects. std::vector<Tensor> all_input_tensors; // Update the vector with information from `input_tensors` if provided. if (input_tensors != nullptr) {
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)