# matmul¶

dragon.math.matmul(
inputs,
**kwargs
)[source]

Compute the matrix multiplication.

$\text{out} = \text{input1} \times \text{input2}$

The behavior depends on the shape of input tensors:

• If both tensors are 1d, computes the vector product.
• If tensors are 1d and >=2d, computes the vector-matrix multiplication.
• If tensors are >=2d and 1d, computes the matrix-vector multiplication.
• If both tensors are >= 2d, computes the matrix-matrix multiplication.
• If one tensor is >= 3d, applies batching and broadcasting to the computation.

Examples:

# Vector x Vector
a = dragon.ones((2,), 'float32')
b = dragon.ones((2,), 'float32')
print(dragon.math.matmul([a, b]))
# Vector x Matrix
a = dragon.ones((2,), 'float32')
b = dragon.ones((2, 3), 'float32')
print(dragon.math.matmul([a, b]))
# Matrix x Vector
a = dragon.ones((3, 2), 'float32')
b = dragon.ones((2,), 'float32')
print(dragon.math.matmul([a, b]))
# Matrix x Matrix
a = dragon.ones((2, 3), 'float32')
b = dragon.ones((3, 2), 'float32')
print(dragon.math.matmul([a, b]))

Parameters:
Returns:

dragon.Tensor – The output tensor.