Searched refs:is_numpy_available (Results 1 – 5 of 5) sorted by relevance
19 bool is_numpy_available() { in is_numpy_available() function64 bool is_numpy_available() { in is_numpy_available() function127 TORCH_CHECK(is_numpy_available(), "Numpy is not available"); in tensor_to_numpy()218 if (!is_numpy_available()) { in tensor_from_numpy()366 return is_numpy_available() && PyArray_IsScalar((obj), Integer); in is_numpy_int()370 return is_numpy_available() && PyArray_IsScalar((obj), Bool); in is_numpy_bool()374 return is_numpy_available() && in is_numpy_scalar()381 if (!is_numpy_available()) { in tensor_from_cuda_array_interface()
14 bool is_numpy_available();
131 if (is_numpy_available()) { in infer_scalar_type()277 if (is_numpy_available() && PyArray_Check(items[i])) { in recursive_store()355 if (is_numpy_available() && PyArray_Check(data)) { in internal_new_from_data()1701 if (is_numpy_available()) { in asarray()
274 if (::torch::utils::is_numpy_available() && PyArray_CheckExact(index)) { in treatSequenceAsTuple()
1103 if (torch::utils::is_numpy_available()) { in THPVariable___eq__()