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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// * `statuses` is either null or an array of `num_files` non-null elements /// of type `TF_Status*`. /// /// If `statuses` is not null, plugins must fill each element with detailed /// status for each file, as if calling `path_exists` on each one. Core /// TensorFlow initializes the `statuses` array and plugins must use /// `TF_SetStatus` to set each element instead of directly assigning. ///
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
RELEASE.md
* Changing `tf.data.experimental.save` to store the type specification of the dataset elements. This avoids the need for explicitly specifying the `element_spec` argument of `tf.data.experimental.load` when loading the previously saved dataset. * Add `.element_spec` property to `tf.data.DatasetSpec` to access the inner spec. This can be used to extract the structure of nested
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/eager/tape.h
// into python now. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class VSpace { public: virtual ~VSpace() {} // Returns the number of elements in the gradient tensor. virtual int64_t NumElements(Gradient* tensor) const = 0; // Consumes references to the tensors in the gradient_tensors list and returns // a tensor with the result.
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/c_api_experimental.h
int64_t* dims; // The data type. May be 0 to denote unknown type. TF_DataType dtype; }; typedef struct TF_ShapeAndType TF_ShapeAndType; // A list of TF_ShapeAndType elements.. struct TF_ShapeAndTypeList { int num_items; TF_ShapeAndType* items; }; typedef struct TF_ShapeAndTypeList TF_ShapeAndTypeList; // API for manipulating TF_ShapeAndTypeList objects. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
std::vector<Tensor> all_input_tensors; // Update the vector with information from `input_tensors` if provided. if (input_tensors != nullptr) { // Note that we take the address of the elements in `all_input_tensors` // below. Allocate enough space so that no reallocation happens, which will // make the pointers invalid. all_input_tensors.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) {
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) -
tensorflow/c/c_api.h
// `oper` and `num_dims` with the corresponding number of dimensions. On return, // for every i where `num_dims[i]` > 0, `dims[i]` will be an array of // `num_dims[i]` elements. A value of -1 for `num_dims[i]` indicates that the // i-th shape in the list is unknown. // // The elements of `dims` will point to addresses in `storage` which must be // large enough to hold at least `storage_size` int64_ts. Ideally, `num_shapes`
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/gradient_checker.cc
// Convert from AbstractTensor to TF_Tensor. TF_Tensor* theta_tensor; TF_RETURN_IF_ERROR(GetValue(theta, &theta_tensor)); // Get number of elements and fill data. int num_elems = TF_TensorElementCount(theta_tensor); vector<float> theta_data(num_elems); memcpy(theta_data.data(), TF_TensorData(theta_tensor), TF_TensorByteSize(theta_tensor));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
ci/official/utilities/extract_resultstore_links.py
error_count = 0 date_time = datetime.datetime attrib = {'name': 'Bazel Invocations', 'time': '0.0', 'timestamp': date_time.isoformat(date_time.utcnow())} testsuites = ElemTree.Element('testsuites') testsuite = ElemTree.SubElement(testsuites, 'testsuite') for url, invocation_results in result_store_dict.items(): invocation_id = url.rsplit('/')[-1] if verbose:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 10.9K bytes - Viewed (0)