add GetWorkSpaceSize to base arg (#253)

* add GetWorkSpaceSize to base arg and make an example on convnd_bwd_weight

* remove redundant compute

* use datatype and split k to check whether a workspace is used

* remove unused computation for work space size

example/20_convnd_bwd_weight_xdl/convnd_bwd_weight_xdl.cpp

@@ -257,11 +257,11 @@ int main(int argc, char* argv[])
     case 0: break;
     case 1:
         out_n_k_ho_wo.GenerateTensorValue(GeneratorTensor_2<OutDataType>{-2, 2});
-        in_n_c_hi_wi.GenerateTensorValue(GeneratorTensor_2<WeiDataType>{-2, 2});
+        in_n_c_hi_wi.GenerateTensorValue(GeneratorTensor_2<InDataType>{-2, 2});
         break;
     default:
         out_n_k_ho_wo.GenerateTensorValue(GeneratorTensor_1<OutDataType>{1});
-        in_n_c_hi_wi.GenerateTensorValue(GeneratorTensor_1<WeiDataType>{1});
+        in_n_c_hi_wi.GenerateTensorValue(GeneratorTensor_1<InDataType>{1});
     }
 
     DeviceMem in_device_buf(sizeof(InDataType) * in_n_c_hi_wi.mDesc.GetElementSpace());
@@ -296,15 +296,53 @@ int main(int argc, char* argv[])
                                   OutElementOp{},
                                   split_k);
 
-    if(!conv->IsSupportedArgument(argument.get()))
+    // alloc work space
+    size_t bwd_weight_workspace_size = conv->GetWorkSpaceSize(argument.get());
+    float ave_time                   = 0.f;
+    if(std::is_same<InDataType, ck::bhalf_t>::value && split_k > 1)
     {
-        std::cout << "wrong! device_conv with the specified compilation parameters does "
-                     "not support this Conv problem"
-                  << std::endl;
-        return 1;
-    }
+        DeviceMem wei_work_space_device_buf(bwd_weight_workspace_size);
+        wei_work_space_device_buf.SetZero();
+        argument = conv->MakeArgumentPointer(
+            static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
+            static_cast<AccDataType*>(wei_work_space_device_buf.GetDeviceBuffer()),
+            static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
+            params.N_,
+            params.K_,
+            params.C_,
+            params.input_spatial_lengths_,
+            params.filter_spatial_lengths_,
+            output_spatial_lengths,
+            params.conv_filter_strides_,
+            params.conv_filter_dilations_,
+            params.input_left_pads_,
+            params.input_right_pads_,
+            InElementOp{},
+            WeiElementOp{},
+            OutElementOp{},
+            split_k);
+
+        if(!conv->IsSupportedArgument(argument.get()))
+        {
+            std::cout << "wrong! device_conv with the specified compilation parameters does "
+                         "not support this Conv problem"
+                      << std::endl;
+            return 1;
+        }
 
-    float ave_time = invoker->Run(argument.get(), StreamConfig{nullptr, time_kernel});
+        ave_time = invoker->Run(argument.get(), StreamConfig{nullptr, time_kernel});
+    }
+    else
+    {
+        if(!conv->IsSupportedArgument(argument.get()))
+        {
+            std::cout << "wrong! device_conv with the specified compilation parameters does "
+                         "not support this Conv problem"
+                      << std::endl;
+            return 1;
+        }
+        ave_time = invoker->Run(argument.get(), StreamConfig{nullptr, time_kernel});
+    }
 
     std::size_t flop = ck::utils::conv::get_flops(
         params.N_, params.C_, params.K_, params.filter_spatial_lengths_, output_spatial_lengths);

include/ck/tensor_operation/gpu/device/device_base.hpp

@@ -40,6 +40,8 @@ struct BaseOperator
     virtual bool IsSupportedArgument(const BaseArgument*) { return false; }
     virtual std::string GetTypeString() const { return ""; }
 
+    virtual size_t GetWorkSpaceSize(const BaseArgument*) const { return 0; }
+
     virtual ~BaseOperator() {}
 };
 

include/ck/tensor_operation/gpu/device/device_convnd_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp

@@ -1175,6 +1175,57 @@ struct DeviceConvndBwdWeightXdl_C_Shuffle_Input_N_Hi_Wi_C_Weight_K_Y_X_C_Output_
 
         return str.str();
     }
+
+    template <ck::index_t NDim, typename ck::enable_if<NDim == 1, bool>::type = false>
+    static size_t GetWorkSpaceSize(const Argument& arg)
+    {
+        size_t WorkSpaceSize = 0;
+        if(arg.k_batch_ > 1)
+        {
+            if constexpr(std::is_same<InDataType, ck::bhalf_t>::value)
+            {
+                WorkSpaceSize =
+                    arg.Conv_K_ * arg.Conv_C_ * arg.filter_spatial_lengths_[0] * sizeof(float);
+            }
+        }
+        return WorkSpaceSize;
+    }
+
+    template <ck::index_t NDim, typename ck::enable_if<NDim == 2, bool>::type = false>
+    static size_t GetWorkSpaceSize(const Argument& arg)
+    {
+        size_t WorkSpaceSize = 0;
+        if(arg.k_batch_ > 1)
+        {
+            if constexpr(std::is_same<InDataType, ck::bhalf_t>::value)
+            {
+                WorkSpaceSize = arg.Conv_K_ * arg.Conv_C_ * arg.filter_spatial_lengths_[0] *
+                                arg.filter_spatial_lengths_[1] * sizeof(float);
+            }
+        }
+        return WorkSpaceSize;
+    }
+
+    template <ck::index_t NDim, typename ck::enable_if<NDim == 3, bool>::type = false>
+    static size_t GetWorkSpaceSize(const Argument& arg)
+    {
+        size_t WorkSpaceSize = 0;
+        if(arg.k_batch_ > 1)
+        {
+            if constexpr(std::is_same<InDataType, ck::bhalf_t>::value)
+            {
+                WorkSpaceSize = arg.Conv_K_ * arg.Conv_C_ * arg.filter_spatial_lengths_[0] *
+                                arg.filter_spatial_lengths_[1] * arg.filter_spatial_lengths_[2] *
+                                sizeof(float);
+            }
+        }
+        return WorkSpaceSize;
+    }
+
+    size_t GetWorkSpaceSize(const BaseArgument* p_arg) const override final
+    {
+        return GetWorkSpaceSize<NumDimSpatial>(*dynamic_cast<const Argument*>(p_arg));
+    }
 };
 
 } // namespace device