{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"93fec6b2-e543-5f53-a444-23b9b00acf4b","task_key":"default--test--956","task_revision_id":"1","upstream_id":"956","short_description":"Consider I have 2D Tensor, index_in_batch * diag_ele. How can I get a 3D Tensor…","config":"default","split":"test","body":"{\"library\":\"Pytorch\",\"prompt\":\"Problem:\\n\\nConsider I have 2D Tensor, index_in_batch * diag_ele. How can I get a 3D Tensor index_in_batch * Matrix (who is a diagonal matrix, construct by drag_ele)?\\n\\nThe torch.diag() construct diagonal matrix only when input is 1D, and return diagonal element when input is 2D.\\n\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nimport torch\\nTensor_2D = load_data()\\ndef Convert(t):\\n    # return the solution in this function\\n    # result = Convert(t)\\n    ### BEGIN SOLUTION\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}