Python transpose 예제들

예제 #1

파일: linear.py 프로젝트: JeroenSoeters/epsilon

def multiply_constant(expr, n):
    if expr.expression_type == Expression.CONSTANT:
        if expr.constant.constant_type == Constant.SCALAR:
            return linear_map.scalar(expr.constant.scalar, n)
        if expr.constant.constant_type == Constant.DENSE_MATRIX:
            return linear_map.dense_matrix(expr.constant, expr.data)
        if expr.constant.constant_type == Constant.SPARSE_MATRIX:
            return linear_map.sparse_matrix(expr.constant, expr.data)
    elif expr.expression_type == Expression.TRANSPOSE:
        return linear_map.transpose(multiply_constant(only_arg(expr), n))
    raise TransformError("unknown constant type", expr)

예제 #2

파일: linear.py 프로젝트: mfouda/epsilon

def multiply_constant(expr, n):
    if expr.expression_type == Expression.CONSTANT:
        if expr.constant.constant_type == Constant.SCALAR:
            return linear_map.scalar(expr.constant.scalar, n)
        if expr.constant.constant_type == Constant.DENSE_MATRIX:
            return linear_map.dense_matrix(expr.constant, expr.data)
        if expr.constant.constant_type == Constant.SPARSE_MATRIX:
            return linear_map.sparse_matrix(expr.constant, expr.data)
    elif expr.expression_type == Expression.TRANSPOSE:
        return linear_map.transpose(multiply_constant(only_arg(expr), n))
    raise TransformError("unknown constant type", expr)

예제 #3

파일: linear.py 프로젝트: mfouda/epsilon

def transform_vstack(expr):
    m = dim(expr, 0)
    n = dim(expr, 1)
    offset = 0
    add_args = []
    for arg in expr.arg:
        mi = dim(arg, 0)

        add_args.append(
            expression.linear_map(
                linear_map.left_matrix_product(
                    linear_map.transpose(
                        linear_map.index(slice(offset, offset + mi), m)), n),
                transform_expr(arg)))
        offset += mi
    return expression.add(*add_args)

예제 #4

파일: linear.py 프로젝트: JeroenSoeters/epsilon

def transform_vstack(expr):
    m = dim(expr, 0)
    n = dim(expr, 1)
    offset = 0
    add_args = []
    for arg in expr.arg:
        mi = dim(arg, 0)

        add_args.append(
            expression.linear_map(
                linear_map.left_matrix_product(
                    linear_map.transpose(
                        linear_map.index(slice(offset, offset+mi), m)),
                    n),
                transform_expr(arg)))
        offset += mi
    return expression.add(*add_args)