BasicOperations.fs

namespace TensorFlowNET.Examples.FSharp

open type Tensorflow.Binding

module BasicOperations =

 let private run() =
 tf.enable_eager_execution()

 // Define tensor constants.
 let a = tf.constant(2)
 let b = tf.constant(3)
 let c = tf.constant(5)

 // Various tensor operations.
 // Note: Tensors also support operators (+, *, ...)
 let add = tf.add(a, b)
 let sub = tf.subtract(a, b)
 let mul = tf.multiply(a, b)
 let div = tf.divide(a, b)

 // Access tensors value.
 print("add =", add.numpy())
 print("sub =", sub.numpy())
 print("mul =", mul.numpy())
 print("div =", div.numpy())

 // Some more operations.
 let mean = tf.reduce_mean([| a; b; c |])
 let sum = tf.reduce_sum([| a; b; c |])

 // Access tensors value.
 print("mean =", mean.numpy())
 print("sum =", sum.numpy())

 // Matrix multiplications.
 let matrix1 = tf.constant(array2D [ [ 1; 2 ]; [ 3; 4 ] ])
 let matrix2 = tf.constant(array2D [ [ 5; 6 ]; [ 7; 8 ] ])
 let product = tf.matmul(matrix1, matrix2)
 // Convert Tensor to Numpy.
 print("product =", product.numpy())

 true

 let Example =
 { Config = ExampleConfig.Create ("Basic Operations", priority = 2)
 Run = run
 }