How to create Scalar vector and matrix expressions using Dynet

This recipe helps you create Scalar vector and matrix expressions using Dynet

Recipe Objective - How to create Scalar, vector and matrix expressions using Dynet?

Expressions is used to build a DyNET computation graphs. Expressions are used as an interface for some functions.

Creating Scaler Expression:-

import dynet as dy
import numpy as np
# creating a scalar expression.
value = 5.0
x = dy.scalarInput(value)

Creating Vector Expression:-

# creating a vector expression.
dimension = 4
v = dy.vecInput(dimension)
v.set([1,2,3,4])

Creating Matrix Expression:-

# creating a matrix expression from a list
mat1 = dy.inputTensor([[2,1], [4,3]]) # Row major

# by using a numpy array
mat2 = dy.inputTensor(np.array([[2,1], [4,2]]))

mat3 = dy.inputTensor(np.zeros((1,4)))

Calculate the value of an expression:-

# This will run the forward step of the neural network.
print(mat1.value())
print(mat1.npvalue())
print(v.vec_value())
print(x.scalar_value())
print(x.value())

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