Function causal_conv1d

src/models/heartmula/codec.cpp:524–543

        0,
        1,
        weights.bias.has_value(),
    }).build(ctx, input, weights);
    return modules::SliceModule({2, 0, output.shape.dims[2] - stride}).build(ctx, output);
}

core::TensorValue prelu(
    core::ModuleBuildContext & ctx,
    const core::TensorValue & input,
    const HeartCodecPreluWeights & weights) {
    auto positive = core::wrap_tensor(ggml_relu(ctx.ggml, core::ensure_backend_addressable_layout(ctx, input).tensor), input.shape, GGML_TYPE_F32);
    auto negative = core::wrap_tensor(ggml_sub(ctx.ggml, input.tensor, positive.tensor), input.shape, GGML_TYPE_F32);
    auto alpha = core::reshape_tensor(ctx, weights.weight, core::TensorShape::from_dims({1, 1, 1}));
    auto alpha_rep = core::wrap_tensor(ggml_repeat(ctx.ggml, alpha.tensor, input.tensor), input.shape, GGML_TYPE_F32);
    return modules::AddModule{}.build(ctx, positive, modules::MulModule{}.build(ctx, negative, alpha_rep));
}

core::TensorValue adjacent_repeat_frames_bct(
    core::ModuleBuildContext & ctx,
    const core::TensorValue & input,
    int64_t repeat) {
    auto btc = modules::TransposeModule({{0, 2, 1}, 3}).build(ctx, input);
    btc = core::ensure_backend_addressable_layout(ctx, btc);
    auto bt1c = core::reshape_tensor(