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Diffstat (limited to 'cnn_v3/training/gen_test_vectors.py')
-rw-r--r--cnn_v3/training/gen_test_vectors.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/cnn_v3/training/gen_test_vectors.py b/cnn_v3/training/gen_test_vectors.py
index 3f81247..96b175a 100644
--- a/cnn_v3/training/gen_test_vectors.py
+++ b/cnn_v3/training/gen_test_vectors.py
@@ -193,8 +193,8 @@ def dec1_forward(bn, enc1, w, gamma, beta):
def dec0_forward(dec1, enc0, w, gamma, beta):
"""
- NearestUp2x(dec1) + cat(enc0_skip) → Conv(16->4, 3x3, zero-pad) + FiLM + ReLU + sigmoid
- → rgba16float (full-res, final output).
+ NearestUp2x(dec1) + cat(enc0_skip) → Conv(16->4, 3x3, zero-pad) + FiLM + sigmoid
+ → rgba16float (full-res, final output). No ReLU before sigmoid.
dec1: (hH, hW, 8) f32 — half-res
enc0: (H, W, 8) f32 — full-res enc0 skip
"""
@@ -219,8 +219,8 @@ def dec0_forward(dec1, enc0, w, gamma, beta):
for kx in range(3):
wv = get_w(w, wo, o * DEC0_IN * 9 + i * 9 + ky * 3 + kx)
s += wv * fp[ky:ky+H, kx:kx+W, i]
- # FiLM + ReLU + sigmoid (matches WGSL dec0 shader)
- v = np.maximum(0.0, gamma[o] * s + beta[o])
+ # FiLM + sigmoid (matches WGSL dec0 shader — no ReLU before sigmoid)
+ v = gamma[o] * s + beta[o]
out[:, :, o] = 1.0 / (1.0 + np.exp(-v.astype(np.float64))).astype(np.float32)
return np.float16(out).astype(np.float32) # rgba16float boundary