importtorchimporttorch.nnasnn# 创建一个 2 层的卷积神经网络classConvNet(nn.Module):def__init__(self):super(ConvNet,self).__init__()self.conv1=nn.Conv2d(1,6,3)self.conv2=nn.Conv2d(6,16,3)self.pool=nn.MaxPool2d(2,2)defforward(self,x):x=self.pool(torch.relu(self.conv1(x))...
Source Code: Matrix Multiplication using Nested Loop # Program to multiply two matrices using nested loops# 3x3 matrixX = [[12,7,3], [4,5,6], [7,8,9]]# 3x4 matrixY = [[5,8,1,2], [6,7,3,0], [4,5,9,1]]# result is 3x4result = [[0,0,0,0], ...
Python code to demonstrate example of numpy.matmul() for matrix multiplication # Linear Algebra Learning Sequence# Matrix Multiplication using# function in numpy libraryimportnumpyasnp# Defining two matricesV1=np.array([[1,2,3],[2,3,5],[3,6,8],[323,623,823]])V2=np.array([[965,2413,...
示例1: matrix_multiplication_test ▲点赞 6▼ # 需要导入模块: from pycast.common.matrix import Matrix [as 别名]# 或者: from pycast.common.matrix.Matrix importmatrix_multiplication[as 别名]defmatrix_multiplication_test(self):"""Test the matrixmultplication of two matrices."""rows1 =2cols1 =3...
/180* np.pi# convert to radiansa = np.exp(-2j* np.pi * d * np.arange(Nr) * np.sin(theta))print(a)# we have to do a matrix multiplication of a and tx, so first lets convert both to matrix' instead of numpy arrays which dont let us do 1d matrix matha = np.asmatrix(a)...
matrixs: if m[0] == symbol: stack.append(m) break else: raise Exception('matrix not found') return time_count if __name__ == '__main__': is_first_line = True for line in sys.stdin: if is_first_line: n = int(line) is_first_line = False continue if n > 0: matrix = ...
res_size is size of res[] # or number of digits in the number represented # by res[]. This function uses simple school # mathematics for multiplication. This function # may value of res_size and returns the new value # of res_size def multiply(x, res,res_size) : carry = 0 # ...
# Python 3.5a1 3320 (PEP 465: Matrix multiplication operator #21176) # Python 3.5b1 3330 (PEP 448: Additional Unpacking Generalizations #2292) # Python 3.5b2 3340 (fix dictionary display evaluation order #11205) # Python 3.5b3 3350 (add GET_YIELD_FROM_ITER opcode #24400) ...
For example, the flatten function will convert a matrix to an array. Now, as it turns out, the SciPy matrix multiplication function is smart enough to infer what you intend if you multiply a matrix and an array so the call to reshape isn’t really necessary here. Next, the demo program...
scaled_ingredients = {k: v * scale_factor for k, v in ingredients.items()} print(scaled_ingredients) # Output: {'flour': 500.0, 'sugar': 250.0, 'eggs': 5.0} Example 3: Matrix Multiplication Matrix multiplication is a common operation in scientific computing and data analysis. Here’s ...