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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
const char* device, TF_Status* status); TensorHandlePtr Multiply(TFE_Context* context, TFE_TensorHandle* first, TFE_TensorHandle* second, TF_Status* status); // Assert that `handle` is equal to `expected_value`. template <typename value_type> void ExpectScalarEq(TFE_TensorHandle* handle, value_type expected_value); template <std::size_t num_devices> void RegisterParallelDevice(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
tensorflow/c/c_api.h
// status - Set to OK on success and an appropriate error on failure. // // Note that when the same TF_Output is listed as both an input and an output, // the corresponding function's output will equal to this input, // instead of the original node's output. // // Callers must also satisfy the following constraints: // - `inputs` cannot refer to TF_Outputs within a control flow context. For
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/c_api_internal.h
namespace tensorflow { // Set the shapes and types of the output's handle. // // The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must // all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the // rank is known), then it must be equal to the length of `shapes[i]`; if // `ranks[i] == 1`, then `shapes[i]` may be nullptr. // // TODO(akshayka): Implement a corresponding getter method.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0)