vtl/linear_vulkan_test.v at main · vlang/vtl · GitHub

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// vtest build: false // requires a Vulkan SDK and device
module main

import vtl
import vtl.nn.layers

// Test Vulkan linear layer forward pass
fn test_linear_forward_vulkan() {
	// Create test data: x [2, 3], W [4, 3], b [4]
	mut x := vtl.zeros[f32]([2, 3])
	x.set([0, 0], 1.0)
	x.set([0, 1], 2.0)
	x.set([0, 2], 3.0)
	x.set([1, 0], 4.0)
	x.set([1, 1], 5.0)
	x.set([1, 2], 6.0)

	mut w := vtl.zeros[f32]([4, 3])
	w.set([0, 0], 0.1)
	w.set([0, 1], 0.2)
	w.set([0, 2], 0.3)
	w.set([1, 0], 0.4)
	w.set([1, 1], 0.5)
	w.set([1, 2], 0.6)
	w.set([2, 0], 0.7)
	w.set([2, 1], 0.8)
	w.set([2, 2], 0.9)
	w.set([3, 0], 1.0)
	w.set([3, 1], 1.1)
	w.set([3, 2], 1.2)

	mut b := vtl.zeros[f32]([4])
	b.set([0], 0.1)
	b.set([1], 0.2)
	b.set([2], 0.3)
	b.set([3], 0.4)

	// Test Vulkan path
	result := nn.layers.linear_forward_vulkan(x, w, b)!
	println('Linear forward result: ${result}')

	// Expected: x * W^T + b
	// x * W^T = [[1*0.1+2*0.4+3*0.7, 1*0.2+2*0.5+3*0.8, 1*0.3+2*0.6+3*0.9, 1*0.4+2*0.7+3*1.0],
	//            [4*0.1+5*0.4+6*0.7, 4*0.2+5*0.5+6*0.8, 4*0.3+5*0.6+6*0.9, 4*0.4+5*0.7+6*1.0]]
	//          = [[3.0, 3.6, 4.2, 4.8], [6.6, 8.1, 9.6, 11.1]]
	// + b = [[3.1, 3.8, 4.3, 4.9], [6.7, 8.3, 9.8, 11.5]]

	expected := vtl.zeros[f32]([2, 4])
	expected.set([0, 0], 3.1)
	expected.set([0, 1], 3.8)
	expected.set([0, 2], 4.3)
	expected.set([0, 3], 4.9)
	expected.set([1, 0], 6.7)
	expected.set([1, 1], 8.3)
	expected.set([1, 2], 9.8)
	expected.set([1, 3], 11.5)

	// Check if close enough (allowing for small floating point differences)
	res_arr := result.to_array()
	exp_arr := expected.to_array()
	assert res_arr.len == exp_arr.len
	for i in 0 .. res_arr.len {
		diff := (res_arr[i] - exp_arr[i]).abs()
		assert diff < 1e-5, 'Mismatch at index $i: got ${res_arr[i]}, expected ${exp_arr[i]}'
	}

	println('✓ Linear forward test passed')

	// Cleanup
	x.release()
	w.release()
	b.release()
	result.release()
}

// Test ReLU activation
fn test_relu_forward_vulkan() {
	mut x := vtl.zeros[f32]([4])
	x.set([0], -2.0)
	x.set([1], -0.5)
	x.set([2], 1.0)
	x.set([3], 2.0)
	result := nn.layers.relu_forward_vulkan(x)!
	println('ReLU result: ${result}')

	expected := vtl.zeros[f32]([4])
	expected.set([0], 0.0)
	expected.set([1], 0.0)
	expected.set([2], 1.0)
	expected.set([3], 2.0)

	res_arr := result.to_array()
	exp_arr := expected.to_array()
	assert res_arr.len == exp_arr.len
	for i in 0 .. res_arr.len {
		diff := (res_arr[i] - exp_arr[i]).abs()
		assert diff < 1e-5
	}

	println('✓ ReLU forward test passed')

	x.release()
	result.release()
}

// Test Sigmoid activation
fn test_sigmoid_forward_vulkan() {
	mut x := vtl.zeros[f32]([2])
	x.set([0], 0.0)
	x.set([1], 1.0)
	result := nn.layers.sigmoid_forward_vulkan(x)!
	println('Sigmoid result: ${result}')

	// sigmoid(0) = 0.5, sigmoid(1) ≈ 0.731
	expected := vtl.zeros[f32]([2])
	expected.set([0], 0.5)
	expected.set([1], 0.731)

	res_arr := result.to_array()
	exp_arr := expected.to_array()
	assert res_arr.len == exp_arr.len
	for i in 0 .. res_arr.len {
		diff := (res_arr[i] - exp_arr[i]).abs()
		assert diff < 1e-2 // Looser tolerance for sigmoid
	}

	println('✓ Sigmoid forward test passed')

	x.release()
	result.release()
}

fn main() {
	println('Testing Vulkan NN layers...')
	test_linear_forward_vulkan()
	test_relu_forward_vulkan()
	test_sigmoid_forward_vulkan()
	println('All tests passed!')
}