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Implement the 2 empty function bodies in specs/ml/layers/flatten_layer.t27 #4063

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Merged
gHashTag merged 1 commit into from
Sep 17, 2026
Merged

Implement the 2 empty function bodies in specs/ml/layers/flatten_layer.t27 #4063

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30 changes: 24 additions & 6 deletions specs/ml/layers/flatten_layer.t27
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Original file line number Diff line number Diff line change
Expand Up @@ -29,14 +29,32 @@ module Flatten;
// 3. Core Functions
// ═══════════════════════════════════════════════════════════

// calc_output_size(input_dims: []u32) → void
fn calc_output_size(input_dims: []u32) -> void {
// TODO: Implement from .tri spec
// calc_output_size(input_dims: []u32) → u32
fn calc_output_size(input_dims: []u32) -> u32 {
// Calculate the total number of elements in the input tensor
var total_size: u32 = 1;
for i in range(len(input_dims)) {
total_size = total_size * input_dims[i];
}
return total_size;
}

// forward(input: []f32) → void
fn forward(input: []f32) -> void {
// TODO: Implement from .tri spec
// forward(input: []f32, config: FlattenConfig) → []f32
fn forward(input: []f32, config: FlattenConfig) -> []f32 {
// Calculate output size using the existing function
var output_size: u32 = calc_output_size(config.input_shape);

// Create output array
var output: []f32 = make([]f32, output_size);

// Flatten the input tensor into the output array
var output_index: u32 = 0;
for input_val in input {
output[output_index] = input_val;
output_index = output_index + 1;
}

return output;
}

// ═══════════════════════════════════════════════════════════
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