Remove unuse headers

src/targets/gpu/device/include/migraph/gpu/device/binary.hpp

-#ifndef MIGRAPH_GUARD_RTGLIB_DEVICE_BINARY_HPP
-#define MIGRAPH_GUARD_RTGLIB_DEVICE_BINARY_HPP
-
-#include <migraph/gpu/device/tensor.hpp>
-#include <migraph/gpu/device/launch.hpp>
-
-namespace migraph {
-namespace gpu {
-namespace device {
-
-template <class F>
-void binary(argument x, argument y, argument result, F f)
-{
-    if(x.get_shape().standard())
-        binary_standard(x, y, result, f);
-    else
-        binary_nonstandard(x, y, result, f);
-}
-
-template <class F>
-void binary_nonstandard(argument x, argument y, argument result, F f)
-{
-    auto output_shape = result.get_shape();
-    auto input_shape  = x.get_shape();
-    visit_all(result, x, y)([&](auto output, auto input1, auto input2) {
-        visit_tensor_size(output_shape.lens().size(), [&](auto ndim) {
-            hip_tensor_descriptor<ndim> x_desc(x.get_shape().lens(), x.get_shape().strides());
-            hip_tensor_descriptor<ndim> y_desc(y.get_shape().lens(), y.get_shape().strides());
-            hip_tensor_descriptor<ndim> out_desc(output_shape.lens(), output_shape.strides());
-            auto* xp   = input1.data();
-            auto* yp   = input2.data();
-            auto* outp = output.data();
-            gs_launch(input_shape.elements())([=](auto i) {
-                auto outidx = out_desc.multi(i);
-                size_t xidx = x_desc.linear(outidx);
-                size_t yidx = y_desc.linear(outidx);
-                outp[i]     = f(xp[xidx], yp[yidx]);
-            });
-        });
-    });
-}
-
-template <class F>
-void binary_standard(argument x, argument y, argument result, F f)
-{
-    assert(x.get_shape().elements() == y.get_shape().elements());
-    auto output_shape = result.get_shape();
-    auto input_shape  = x.get_shape();
-    visit_all(result, x, y)([&](auto output, auto input1, auto input2) {
-        auto* xp   = input1.data();
-        auto* yp   = input2.data();
-        auto* outp = output.data();
-        gs_launch(input_shape.elements())([=](auto i) { outp[i] = f(xp[i], yp[i]); });
-    });
-}
-
-} // namespace device
-} // namespace gpu
-} // namespace migraph
-
-#endif

src/targets/gpu/device/include/migraph/gpu/device/unary.hpp

-
-#ifndef MIGRAPH_GUARD_RTGLIB_DEVICE_UNARY_HPP
-#define MIGRAPH_GUARD_RTGLIB_DEVICE_UNARY_HPP
-
-#include <migraph/gpu/device/tensor.hpp>
-#include <migraph/gpu/device/launch.hpp>
-
-namespace migraph {
-namespace gpu {
-namespace device {
-
-template <class F>
-void unary(argument x, argument result, F f)
-{
-    if(x.get_shape().standard())
-        unary_standard(x, result, f);
-    else
-        unary_nonstandard(x, result, f);
-}
-
-template <class F>
-void unary_nonstandard(argument x, argument result, F f)
-{
-    auto output_shape = result.get_shape();
-    auto input_shape  = x.get_shape();
-    visit_all(result, x)([&](auto output, auto input) {
-        visit_tensor_size(output_shape.lens().size(), [&](auto ndim) {
-            hip_tensor_descriptor<ndim> x_desc(input_shape.lens(), input_shape.strides());
-            hip_tensor_descriptor<ndim> out_desc(output_shape.lens(), output_shape.strides());
-            auto* xp   = input.data();
-            auto* outp = output.data();
-            gs_launch(input_shape.elements())([=](auto i) {
-                size_t xidx = x_desc.linear(out_desc.multi(i));
-                outp[i]     = f(xp[xidx]);
-            });
-        });
-    });
-}
-
-template <class F>
-void unary_standard(argument x, argument result, F f)
-{
-    auto output_shape = result.get_shape();
-    auto input_shape  = x.get_shape();
-    visit_all(result, x)([&](auto output, auto input) {
-        auto* xp   = input.data();
-        auto* outp = output.data();
-        gs_launch(input_shape.elements())([=](auto i) { outp[i] = f(xp[i]); });
-    });
-}
-
-} // namespace device
-} // namespace gpu
-} // namespace migraph
-
-#endif