"comment":"\nCrop Operator.\n\nCrop input into output, as specified by offsets and shape.\n\nThere are two ways to set shape:\n1. reference input: crop input X into the same shape as reference input.\n The dimension of reference input should\n be the same as the dimension of input X.\n2. shape list: crop input X into the shape described by a list<int>.\n The size of shape list should be the same as\n the dimension size of input X.\n\nThe input should be a k-D tensor(k > 0 and k < 7). As an example:\n\nGiven:\n\n X = [[0, 1, 2, 0, 0]\n [0, 3, 4, 0, 0]\n [0, 0, 0, 0, 0]],\n\nand\n\n offsets = [0, 1],\n\nand\n\n shape = [2, 2],\n\nwe get:\n\n Out = [[1, 2],\n [3, 4]].\n\n",
"comment":"\nCrop Operator.\n\nCrop input into output, as specified by offsets and shape.\n\nThere are two ways to set shape:\n1. reference input: crop input X into the same shape as reference input.\n The dimension of reference input should\n be the same as the dimension of input X.\n2. shape list: crop input X into the shape described by a list<int>.\n The size of shape list should be the same as\n the dimension size of input X.\n\nThe input should be a k-D tensor(k > 0 and k < 7). As an example:\n\nCase 1:\nGiven\n\n X = [[0, 1, 2, 0, 0]\n [0, 3, 4, 0, 0]\n [0, 0, 0, 0, 0]],\n\nand\n\n offsets = [0, 1],\n\nand\n\n shape = [2, 2],\n\nwe get:\n\n Out = [[1, 2],\n [3, 4]].\n\n\nCase 2:\nGiven\n\n X = [[0, 1, 2, 5, 0]\n [0, 3, 4, 6, 0]\n [0, 0, 0, 0, 0]],\n\nand\n\n offsets = [0, 1],\n\nand\n\n Y = [[0, 0, 0]\n [0, 0, 0]],\n\nwe get:\n\n Out = [[1, 2, 5],\n [3, 4, 6]].\n",
