Function require_same_shape

tests/unittests/test_conv_transpose_fast_path.cpp:194–205

    const engine::core::TensorValue & input,
    const engine::modules::ConvTranspose1dWeights & weights,
    const engine::core::TensorShape & output_shape) {
    engine::core::TensorValue output;
    for (int64_t batch_index = 0; batch_index < input.shape.dims[0]; ++batch_index) {
        const auto matrix_input = view_batch_matrix(ctx, input, batch_index, config.in_channels, input.shape.dims[2]);
        auto batch_output = engine::core::wrap_tensor(
            ggml_conv_transpose_1d(
                ctx.ggml,
                weights.weight.tensor,
                matrix_input.tensor,
                config.stride,
                config.padding,
                config.dilation),
            engine::core::TensorShape::from_dims({1, config.out_channels, output_shape.dims[2]}),
            GGML_TYPE_F32);
        output = output.valid() ? engine::modules::ConcatModule({0}).build(ctx, output, batch_output) : batch_output;