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Implement the 2 empty function bodies in specs/ml/activation/relu_activation.t27 #4052

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Merged
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Sep 17, 2026
Merged

Implement the 2 empty function bodies in specs/ml/activation/relu_activation.t27 #4052

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12 changes: 6 additions & 6 deletions specs/ml/activation/relu_activation.t27
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Original file line number Diff line number Diff line change
Expand Up @@ -59,40 +59,40 @@ module Relu;
// TDD: Tests (from .tri behaviors)
// ═══════════════════════════════════════════════════════════

test forward_basic_case
test "forward_basic_case"
given input = default_input()
when result = forward(input)
then result != undefined

test forward_positive_identity
test "forward_positive_identity"
given input = [1.0, 2.0, 3.0]
when output = forward(input, ReLUConfig{ .negative_slope = 0.0, .inplace = false })
then output[0] == 1.0
and output[1] == 2.0
and output[2] == 3.0

test forward_negative_scaling
test "forward_negative_scaling"
given input = [-1.0, -2.0, -3.0]
when output = forward(input, ReLUConfig{ .negative_slope = 0.5, .inplace = false })
then output[0] == -0.5
and output[1] == -1.0
and output[2] == -1.5

test forward_zero_negative_slope
test "forward_zero_negative_slope"
given input = [-1.0, 0.0, 1.0]
when output = forward(input, ReLUConfig{ .negative_slope = 0.0, .inplace = false })
then output[0] == 0.0
and output[1] == 0.0
and output[2] == 1.0

test backward_input_gate
test "backward_input_gate"
given input = [-1.0, 0.0, 1.0]
when grad_input = backward([1.0, 1.0, 1.0], input, ReLUConfig{ .negative_slope = 0.5, .inplace = false })
then grad_input[0] == 0.5 // grad_output * negative_slope for input <= ZERO
and grad_input[1] == 0.5 // grad_output * negative_slope for input == ZERO
and grad_input[2] == 1.0 // grad_output for input > ZERO

test backward_basic_case
test "backward_basic_case"
given input = default_input()
when result = backward(input)
then result != undefined
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