nnl 0.1.6

A high-performance neural network library for Rust with CPU and GPU support
Documentation 
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#version 450

// ReLU activation compute shader
// Computes: result[i] = max(0.0, input[i])

layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;

layout(set = 0, binding = 0) buffer InputBuffer {
    float input_data[];
};

layout(set = 0, binding = 1) buffer OutputBuffer {
    float result[];
};

void main() {
    uint index = gl_GlobalInvocationID.x;

    // Bounds checking
    if (index >= input_data.length() || index >= result.length()) {
        return;
    }

    // Perform ReLU activation entirely on GPU
    // ReLU(x) = max(0, x)
    result[index] = max(0.0, input_data[index]);
}