diff --git a/include/cutlass/conv/kernel/default_conv2d.h b/include/cutlass/conv/kernel/default_conv2d.h
index 5605162c..5a83586e 100644
--- a/include/cutlass/conv/kernel/default_conv2d.h
+++ b/include/cutlass/conv/kernel/default_conv2d.h
@@ -37,6 +37,10 @@
 #include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
 #include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
 #include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
+
+#include "cutlass/epilogue/threadblock/default_epilogue_with_broadcast.h"
+#include "cutlass/epilogue/threadblock/default_epilogue_with_reduction.h"
+
 #include "cutlass/conv/convolution.h"
 #include "cutlass/conv/threadblock/conv2d_tile_iterator.h"
 #include "cutlass/conv/threadblock/implicit_gemm_pipelined.h"
@@ -96,6 +100,122 @@ struct DefaultConvEpilogue<
     OutputOp::kCount
   >::Epilogue;
 };
+
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+template <
+  typename ArchTag,
+  typename Shape,
+  typename WarpMmaTensorOp,
+  int PartitionsK,
+  typename ElementOutput,
+  typename ElementTensor,
+  typename ElementVector,
+  typename OutputOp,
+  int ElementsPerAccess
+>
+struct DefaultConvEpilogueWithBroadcastTensorOp {
+  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastTensorOp<
+    Shape,
+    WarpMmaTensorOp,
+    PartitionsK,
+    ElementOutput,
+    ElementTensor,
+    ElementVector,
+    OutputOp,
+    ElementsPerAccess
+  >::Epilogue;
+};
+
+template <
+  typename Shape,
+  typename WarpMmaTensorOp,
+  int PartitionsK,
+  typename ElementOutput,
+  typename ElementTensor,
+  typename ElementVector,
+  typename OutputOp,
+  int ElementsPerAccess
+>
+struct DefaultConvEpilogueWithBroadcastTensorOp<
+  arch::Sm70,
+  Shape,
+  WarpMmaTensorOp,
+  PartitionsK,
+  ElementOutput,
+  ElementTensor,
+  ElementVector,
+  OutputOp,
+  ElementsPerAccess
+  > {
+  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastVoltaTensorOp<
+    Shape,
+    WarpMmaTensorOp,
+    PartitionsK,
+    ElementOutput,
+    ElementTensor,
+    ElementVector,
+    OutputOp,
+    ElementsPerAccess
+  >::Epilogue;
+};
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+template <
+  typename ArchTag,
+  typename Shape,
+  typename WarpMmaTensorOp,
+  int PartitionsK,
+  typename ElementOutput,
+  typename OutputOp,
+  typename ReductionOp,
+  int ElementsPerAccess
+>
+struct DefaultConvEpilogueWithReductionTensorOp {
+  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionTensorOp<
+    Shape,
+    WarpMmaTensorOp,
+    PartitionsK,
+    ElementOutput,
+    OutputOp,
+    ReductionOp,
+    ElementsPerAccess
+  >::Epilogue;
+};
+
+template <
+  typename Shape,
+  typename WarpMmaTensorOp,
+  int PartitionsK,
+  typename ElementOutput,
+  typename OutputOp,
+  typename ReductionOp,
+  int ElementsPerAccess
+>
+struct DefaultConvEpilogueWithReductionTensorOp<
+  arch::Sm70,
+  Shape,
+  WarpMmaTensorOp,
+  PartitionsK,
+  ElementOutput,
+  OutputOp,
+  ReductionOp,
+  ElementsPerAccess
+  > {
+  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionVoltaTensorOp<
+    Shape,
+    WarpMmaTensorOp,
+    PartitionsK,
+    ElementOutput,
+    OutputOp,
+    ReductionOp,
+    ElementsPerAccess
+  >::Epilogue;
+};
+
+
 /////////////////////////////////////////////////////////////////////////////////////////////////
 
 // Defaults for strided Dgrad
diff --git a/include/cutlass/conv/kernel/default_conv2d_fprop_with_broadcast.h b/include/cutlass/conv/kernel/default_conv2d_fprop_with_broadcast.h
index dfbc98e7..52c403a5 100644
--- a/include/cutlass/conv/kernel/default_conv2d_fprop_with_broadcast.h
+++ b/include/cutlass/conv/kernel/default_conv2d_fprop_with_broadcast.h
@@ -94,7 +94,8 @@ struct DefaultConv2dFpropWithBroadcast {
   >::Kernel;
 
   // Replace epilogue
-  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueWithBroadcastTensorOp<
+  using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithBroadcastTensorOp<
+    ArchTag,
     typename ImplicitGemmBase::Epilogue::Shape,
     typename ImplicitGemmBase::Epilogue::WarpMmaOperator,
     ImplicitGemmBase::Epilogue::kPartitionsK,
diff --git a/include/cutlass/conv/kernel/default_conv2d_fprop_with_reduction.h b/include/cutlass/conv/kernel/default_conv2d_fprop_with_reduction.h
index 24553a6d..b092b1a3 100644
--- a/include/cutlass/conv/kernel/default_conv2d_fprop_with_reduction.h
+++ b/include/cutlass/conv/kernel/default_conv2d_fprop_with_reduction.h
@@ -95,7 +95,8 @@ struct DefaultConv2dFpropWithReduction {
   >::Kernel;
 
   // Replace epilogue
-  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueWithReductionTensorOp<
+  using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithReductionTensorOp<
+    ArchTag,
     typename ImplicitGemmBase::Epilogue::Shape,
     typename ImplicitGemmBase::Epilogue::WarpMmaOperator,
     ImplicitGemmBase::Epilogue::kPartitionsK,
diff --git a/test/unit/conv/device/CMakeLists.txt b/test/unit/conv/device/CMakeLists.txt
index a59b1873..13805670 100644
--- a/test/unit/conv/device/CMakeLists.txt
+++ b/test/unit/conv/device/CMakeLists.txt
@@ -129,6 +129,7 @@ endif()
 cutlass_test_unit_add_executable(
   cutlass_test_unit_conv_device_tensorop_f32_sm70
   
+  conv2d_fprop_with_broadcast_sm70.cu
   conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
   conv2d_dgrad_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
   conv2d_wgrad_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
diff --git a/test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu b/test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
index 4f347f58..e2e4ece9 100644
--- a/test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
+++ b/test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm70.cu
@@ -76,6 +76,49 @@ TEST(SM70_Device_Conv2d_Fprop_Analytic_ImplicitGemm_f16nhwc_f16nhwc_f32nhwc_tens
   EXPECT_TRUE(test::conv::device::TestAllConv2d<Conv2dFprop>());
 }
 
+
+////////////////////////////////////////////////////////////////////////////////
+
+TEST(SM70_Device_Conv2d_Fprop_Optimized_ImplicitGemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32,
+  128x128_32x2_64x64x32) {
+
+  /// Conv operation element types for the Gemm equivalent (ImplicitGemm)
+  using ElementA           = cutlass::half_t;
+  using ElementB           = cutlass::half_t;
+  using ElementC           = float;
+  using ElementAccumulator = float;
+  using ElementCompute     = float;
+
+  /// Device-level Conv2d instance
+  using Conv2dFpropKernel = typename cutlass::conv::kernel::DefaultConv2dFprop<
+    ElementA, cutlass::layout::TensorNHWC,
+    ElementB, cutlass::layout::TensorNHWC,
+    ElementC, cutlass::layout::TensorNHWC,
+    ElementAccumulator,
+    cutlass::arch::OpClassTensorOp,
+    cutlass::arch::Sm70,
+    cutlass::gemm::GemmShape<128, 128, 32>,
+    cutlass::gemm::GemmShape<64, 64, 32>,
+    cutlass::gemm::GemmShape<8, 8, 4>,
+    cutlass::epilogue::thread::LinearCombination<
+      ElementC,
+      128 / cutlass::sizeof_bits<ElementC>::value,
+      ElementAccumulator,
+      ElementCompute
+    >,
+    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
+    2,
+    cutlass::arch::OpMultiplyAdd,
+    cutlass::conv::IteratorAlgorithm::kOptimized
+  >::Kernel;
+
+  using Conv2dFprop = cutlass::conv::device::ImplicitGemmConvolution<Conv2dFpropKernel>;
+
+  /// Run all unit test sizes with device-level Conv2d instance
+  EXPECT_TRUE(test::conv::device::TestAllConv2d<Conv2dFprop>());
+}
+
+
 ////////////////////////////////////////////////////////////////////////////////
 ////////////////////////////////////////////////////////////////////////////////
 #endif  // CUTLASS_ARCH_MMA_SM70_SUPPORTED
diff --git a/test/unit/conv/device/conv2d_fprop_with_broadcast_sm70.cu b/test/unit/conv/device/conv2d_fprop_with_broadcast_sm70.cu
new file mode 100644
index 00000000..511b331c
--- /dev/null
+++ b/test/unit/conv/device/conv2d_fprop_with_broadcast_sm70.cu
@@ -0,0 +1,121 @@
+/***************************************************************************************************
+ * Copyright (c) 2017-2022, NVIDIA CORPORATION.  All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification, are permitted
+ * provided that the following conditions are met:
+ *     * Redistributions of source code must retain the above copyright notice, this list of
+ *       conditions and the following disclaimer.
+ *     * Redistributions in binary form must reproduce the above copyright notice, this list of
+ *       conditions and the following disclaimer in the documentation and/or other materials
+ *       provided with the distribution.
+ *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
+ *       to endorse or promote products derived from this software without specific prior written
+ *       permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+ * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+ * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+ * STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+/*! \file
+    \brief Tests for device-wide Implicit GEMM interface
+*/
+
+#include "../../common/cutlass_unit_test.h"
+#include "cutlass/cutlass.h"
+#include "cutlass/array.h"
+#include "cutlass/epilogue/thread/linear_combination_bias_elementwise.h"
+#include "cutlass/epilogue/thread/linear_combination_residual_block.h"
+#include "cutlass/epilogue/thread/activation.h"
+
+#include "cutlass/conv/kernel/default_conv2d_fprop_with_broadcast.h"
+#include "cutlass/conv/device/implicit_gemm_convolution.h"
+
+#include "conv2d_with_broadcast_testbed.h"
+
+#if defined(CUTLASS_ARCH_MMA_SM70_SUPPORTED)
+
+// Test residual block fusion: UnaryOp(BinaryOp(ActivationOp(Conv2d(X) + bias), residual))
+// LinearCombinationResidualBlock does not support the split-k mode unless ActivationOp is Identity.
+// This is because the activation needs to be applied to the fully accumulated output of the Conv2d op,
+// which only the last thread block would have an access to, before applying BinaryOp.
+// The epilogue functor in the last thread block would have to be given three inputs, namely
+// partial outputs, bias, and residual, but this is not supported in the current interface.
+// Set TestSplitK = false to skip split-k tests with non-trivial ActivationOp.
+template <
+ typename ElementAccumulator,
+ template<typename T> class ActivationOp,
+ template<typename T> class BinaryOp,
+ template<typename T> class UnaryOp,
+ bool TestSplitK = false
+>
+void TestResidaulBlock() {
+  using ElementA = cutlass::half_t;
+  using ElementB = cutlass::half_t;
+  using ElementC = cutlass::half_t;
+  using ElementD = ElementC;
+  using ElementCompute = ElementAccumulator;
+
+  using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombinationResidualBlock<
+    ElementD,
+    ElementAccumulator,
+    ElementCompute,
+    ElementC,
+    8,
+    ActivationOp,
+    BinaryOp,
+    UnaryOp
+  >;
+
+  using Conv2dFpropKernel = typename cutlass::conv::kernel::DefaultConv2dFpropWithBroadcast<
+    ElementA, cutlass::layout::TensorNHWC,
+    ElementB, cutlass::layout::TensorNHWC,
+    ElementC, cutlass::layout::TensorNHWC,
+    ElementAccumulator,
+    cutlass::arch::OpClassTensorOp,
+    cutlass::arch::Sm70,
+    cutlass::gemm::GemmShape<128, 128, 32>,
+    cutlass::gemm::GemmShape<64, 64, 32>,
+    cutlass::gemm::GemmShape<8, 8, 4>,
+    EpilogueOutputOp,
+    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
+    2,
+    cutlass::arch::OpMultiplyAdd,
+    cutlass::conv::IteratorAlgorithm::kOptimized
+  >::Kernel;
+
+  using Conv2dFprop = cutlass::conv::device::ImplicitGemmConvolution<Conv2dFpropKernel>;
+
+  struct ReferenceOp {
+    using OutputOp = typename Conv2dFprop::EpilogueOutputOp;
+    using ElementZ = typename OutputOp::ElementZ;
+
+    ActivationOp<ElementCompute> activation;
+    BinaryOp<ElementCompute> binary_op;
+    UnaryOp<ElementCompute> unary_op;
+
+    void operator()(ElementZ &Z, ElementZ&, ElementCompute conv2d, ElementCompute residual) {
+      Z = ElementZ(unary_op(binary_op(activation(conv2d), residual)));
+    }
+  };
+
+  bool passed = test::conv::device::TestAllConv2dWithBroadcast<Conv2dFprop, ReferenceOp, true, TestSplitK>();
+  EXPECT_TRUE(passed);
+}
+
+TEST(SM70_Device_Conv2d_Fprop_With_Residual_Block_Plus_Optimized_ImplicitGemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32,
+     128x128_32x2_64x64x32) {
+  // Resnet
+  TestResidaulBlock<float, cutlass::epilogue::thread::ReLu, cutlass::plus, cutlass::epilogue::thread::Identity>();
+}
+
+////////////////////////////////////////////////////////////////////////////////
+
+#endif  // CUTLASS_ARCH_MMA_SM70_SUPPORTED
+
+////////////////////////////////////////////////////////////////////////////////