Dont lower transpose and reshape

src/include/migraph/operators.hpp

@@ -221,9 +221,9 @@ struct transpose
         }
         return {t, output_lens, output_strides};
     }
-    argument compute(context&, shape, std::vector<argument>) const
+    argument compute(context&, shape output_shape, std::vector<argument> args) const
     {
-        MIGRAPH_THROW("not computable");
+        return {output_shape, std::move(args.front().data)};
     }
 };
 
@@ -286,9 +286,9 @@ struct reshape
         return s;
     }
 
-    argument compute(context&, shape, std::vector<argument>) const
+    argument compute(context&, shape output_shape, std::vector<argument> args) const
     {
-        MIGRAPH_THROW("not computable");
+        return {output_shape, std::move(args.front().data)};
     }
 
     friend std::ostream& operator<<(std::ostream& os, const reshape& op)

src/targets/cpu/cpu_lowering.cpp

@@ -185,18 +185,6 @@ struct cpu_pooling
     }
 };
 
-struct cpu_transpose
-{
-    transpose op;
-
-    std::string name() const { return "cpu::transpose"; }
-    shape compute_shape(std::vector<shape> inputs) const { return op.compute_shape(inputs); }
-    argument compute(context&, shape output_shape, std::vector<argument> args) const
-    {
-        return {output_shape, std::move(args.front().data)};
-    }
-};
-
 struct cpu_contiguous
 {
     contiguous op;
@@ -214,18 +202,6 @@ struct cpu_contiguous
     }
 };
 
-struct cpu_reshape
-{
-    reshape op;
-    std::string name() const { return "cpu::reshape"; }
-    shape compute_shape(std::vector<shape> inputs) const { return op.compute_shape(inputs); }
-
-    argument compute(context&, shape output_shape, std::vector<argument> args) const
-    {
-        return {output_shape, std::move(args.front().data)};
-    }
-};
-
 struct cpu_gemm
 {
     gemm op;
@@ -527,9 +503,7 @@ struct cpu_apply
         apply_map["gemm"]        = extend_op<cpu_gemm, gemm>();
         apply_map["batch_norm_inference"] =
             extend_op<cpu_batch_norm_inference, batch_norm_inference>();
-        apply_map["reshape"]    = extend_op<cpu_reshape, reshape>();
         apply_map["contiguous"] = extend_op<cpu_contiguous, contiguous>();
-        apply_map["transpose"]  = extend_op<cpu_transpose, transpose>();
 
         apply_map["identity"] = simple_op<cpu_unary<identity_op>>();
         apply_map["tanh"]     = simple_op<cpu_unary<tanh_op>>();

src/targets/gpu/lowering.cpp

@@ -183,22 +183,6 @@ struct miopen_gemm
     }
 };
 
-struct miopen_transpose
-{
-    transpose op;
-
-    std::string name() const { return "gpu::transpose"; }
-    shape compute_shape(std::vector<shape> inputs) const
-    {
-        check_shapes{inputs, *this}.has(2);
-        return op.compute_shape({inputs.at(0)});
-    }
-    argument compute(context&, shape output_shape, std::vector<argument> args) const
-    {
-        return {output_shape, std::move(args.front().data)};
-    }
-};
-
 struct miopen_contiguous
 {
     contiguous op;
@@ -271,10 +255,6 @@ struct miopen_apply
             {
                 apply_gemm(it);
             }
-            else if(it->op.name() == "transpose")
-            {
-                apply_transpose(it);
-            }
             else if(it->op.name() == "contiguous")
             {
                 apply_contiguous(it);
@@ -346,13 +326,6 @@ struct miopen_apply
             ins, miopen_gemm{op}, ins->arguments.at(0), ins->arguments.at(1), output);
     }
 
-    void apply_transpose(instruction_ref ins)
-    {
-        auto&& op   = any_cast<transpose>(ins->op);
-        auto output = insert_allocation(ins, ins->result);
-        prog->replace_instruction(ins, miopen_transpose{op}, ins->arguments.at(0), output);
-    }
-
     void apply_contiguous(instruction_ref ins)
     {
         auto&& op   = any_cast<contiguous>(ins->op);