open type Tensorflow.Binding

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", priority0 = 2)

Run = run

}