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#include "cutlass/cutlass.h"

template <typename GemmTraits_>
static void run_binary_gemm(int m, int n, int k, int alpha = 1, int beta = 1) {
  typedef cutlass::gemm::Gemm<GemmTraits_> Gemm;
  typename Gemm::Params params;

  test::GemmTestbed<cutlass::Vector<cutlass::bin1_t, 32>,  // AType
                    cutlass::Vector<cutlass::bin1_t, 32>,  // BType
                    int32_t,                               // CType
                    int32_t,                               // Accumulator
                    int                                    // Scalar
                    >
      testbed(m,
              n,
              k / 32,
              test::convert(GemmTraits_::kLayoutA),
              test::convert(GemmTraits_::kLayoutB),
              alpha,
              beta);

  // Initializes the input vectors for computation
  testbed.initialize_binary();

  // Compute the reference result on the host (CPU)
  testbed.compute_host();

  params.initialize(testbed.M(),
                    testbed.N(),
                    testbed.K() * 32,
                    testbed.alpha,
                    testbed.ptr_A(),
                    testbed.lda(),
                    testbed.ptr_B(),
                    testbed.ldb(),
                    testbed.beta,
                    testbed.ptr_C_initial(),
                    testbed.ldc(),
                    testbed.ptr_computed(),
                    testbed.ldc());

  Gemm::launch(params);

  cudaError_t result = cudaDeviceSynchronize();
  ASSERT_EQ(result, cudaSuccess) << "\nCUDA kernel launch error: " << cudaGetErrorString(result)
                                 << "\n";

  testbed.computed.sync_host();

  // Check the results
  ASSERT_TRUE(testbed.computed.bit_equals(testbed.ref_host));
}