tessl install tessl/pypi-cupy-cuda101@9.6.0CuPy: NumPy & SciPy for GPU (CUDA 10.1 version)
Agent Success
Agent success rate when using this tile
87%
Improvement
Agent success rate improvement when using this tile compared to baseline
1.19x
Baseline
Agent success rate without this tile
73%
{
"context": "This criteria evaluates the engineer's proficiency in using CuPy's bitwise operations for array manipulation. The assessment focuses on correct usage of CuPy's bitwise functions (bitwise_and, bitwise_or, bitwise_xor, left_shift, right_shift) and proper array handling on GPU.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Uses bitwise_and",
"description": "Implementation uses cupy.bitwise_and() or the & operator for the AND operation between two CuPy arrays",
"max_score": 20
},
{
"name": "Uses bitwise_or",
"description": "Implementation uses cupy.bitwise_or() or the | operator for the OR operation between two CuPy arrays",
"max_score": 20
},
{
"name": "Uses bitwise_xor",
"description": "Implementation uses cupy.bitwise_xor() or the ^ operator for the XOR operation between two CuPy arrays",
"max_score": 20
},
{
"name": "Uses left_shift",
"description": "Implementation uses cupy.left_shift() or the << operator for left shift operations on CuPy arrays",
"max_score": 20
},
{
"name": "Uses right_shift",
"description": "Implementation uses cupy.right_shift() or the >> operator for right shift operations on CuPy arrays",
"max_score": 20
}
]
}