Merge branch 'develop' of https://github.com/ROCmSoftwarePlatform/AMDMIGraphX into round_operator

src/targets/gpu/CMakeLists.txt

@@ -33,6 +33,7 @@ add_library(migraphx_device
     device/contiguous.cpp
     device/logsoftmax.cpp
     device/softmax.cpp
+    device/sigmoid.cpp
     device/convert.cpp
     device/mul.cpp
     device/concat.cpp
@@ -78,7 +79,6 @@ add_library(migraphx_gpu
     batchnorm.cpp
     write_literals.cpp
     rocblas.cpp
-    sigmoid.cpp
     abs.cpp
     elu.cpp
     pad.cpp

src/targets/gpu/device/include/migraphx/gpu/device/reduce.hpp

@@ -245,8 +245,7 @@ void reduce_standard_impl(hipStream_t stream,
                           T init,
                           Input read_input,
                           Output read_output,
-                          std::size_t relements,
-                          std::size_t stride)
+                          std::size_t relements)
 {
     hip_visit_all(result, arg)([&](auto output, auto input) {
         auto nelements = result.get_shape().elements();
@@ -255,7 +254,7 @@ void reduce_standard_impl(hipStream_t stream,
         const std::size_t block_size     = compute_block_size(relements, max_block_size);
         gs_launch(stream, nelements * block_size, block_size)([=](auto i, auto idx) __device__ {
             const auto out_idx  = i / block_size;
-            const auto base_idx = out_idx * stride;
+            const auto base_idx = out_idx * relements;
             auto r = block_reduce<max_block_size>(idx, op, init, relements, [&](auto j) __device__ {
                 return read_input(input.data()[base_idx + j]);
             });
@@ -276,25 +275,15 @@ void reduce(hipStream_t stream,
 {
     auto&& output_shape = result.get_shape();
     auto&& input_shape  = arg.get_shape();
+    assert(output_shape.lens().size() == input_shape.lens().size());
     if(input_shape.standard() and output_shape.standard() and
        output_shape.lens().back() != input_shape.lens().back() and
        std::equal(output_shape.lens().begin(),
                   std::prev(output_shape.lens().end()),
                   input_shape.lens().begin()))
     {
-        std::size_t stride = std::accumulate(input_shape.strides().begin(),
-                                             input_shape.strides().end(),
-                                             1,
-                                             std::multiplies<size_t>());
-        reduce_standard_impl(stream,
-                             result,
-                             arg,
-                             op,
-                             init,
-                             read_input,
-                             read_output,
-                             input_shape.lens().back(),
-                             stride);
+        reduce_standard_impl(
+            stream, result, arg, op, init, read_input, read_output, input_shape.lens().back());
     }
     else
     {

src/targets/gpu/device/sigmoid.cpp

+#include <migraphx/gpu/device/sigmoid.hpp>
+#include <migraphx/gpu/device/nary.hpp>
+#include <migraphx/gpu/device/types.hpp>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+namespace gpu {
+namespace device {
+
+void sigmoid(hipStream_t stream, const argument& result, const argument& arg)
+{
+    nary(stream, result, arg)([](auto x) { return 1.f / (1.f + ::exp(to_hip_type(-x))); });
+}
+
+} // namespace device
+} // namespace gpu
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx

src/targets/gpu/include/migraphx/gpu/device/sigmoid.hpp

+#ifndef MIGRAPHX_GUARD_RTGLIB_DEVICE_SIGMOID_HPP
+#define MIGRAPHX_GUARD_RTGLIB_DEVICE_SIGMOID_HPP
+
+#include <migraphx/argument.hpp>
+#include <migraphx/config.hpp>
+#include <hip/hip_runtime_api.h>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+namespace gpu {
+namespace device {
+
+void sigmoid(hipStream_t stream, const argument& result, const argument& arg);
+
+} // namespace device
+} // namespace gpu
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx
+
+#endif

src/targets/gpu/include/migraphx/gpu/sigmoid.hpp

 #ifndef MIGRAPHX_GUARD_RTGLIB_SIGMOID_HPP
 #define MIGRAPHX_GUARD_RTGLIB_SIGMOID_HPP
 
-#include <migraphx/shape.hpp>
-#include <migraphx/gpu/miopen.hpp>
+#include <migraphx/gpu/oper.hpp>
+#include <migraphx/gpu/device/sigmoid.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
 namespace gpu {
 
-struct context;
-
-struct miopen_sigmoid
+struct hip_sigmoid : unary_device<hip_sigmoid, device::sigmoid>
 {
-    shared<activation_descriptor> ad;
-
-    template <class Self, class F>
-    static auto reflect(Self& self, F f)
-    {
-        return gpu::reflect(self.ad.get(), f);
-    }
-
-    std::string name() const { return "gpu::sigmoid"; }
-    shape compute_shape(const std::vector<shape>& inputs) const;
-    argument
-    compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const
-    {
-        return shapes.size() - 1;
-    }
 };
 
 } // namespace gpu

src/targets/gpu/lowering.cpp

@@ -87,7 +87,6 @@ struct miopen_apply
     void init()
     {
         this->last = instruction::get_output_alias(std::prev(prog->end()));
-        add_miopen_simple_op<miopen_sigmoid>("sigmoid", make_sigmoid);
         add_miopen_simple_op<miopen_abs>("abs", make_abs);
 
         add_miopen_extend_op<miopen_leaky_relu, op::leaky_relu>("leaky_relu", make_leaky_relu);
@@ -118,6 +117,7 @@ struct miopen_apply
         add_generic_op<hip_sqdiff>("sqdiff");
         add_generic_op<hip_relu>("relu");
         add_generic_op<hip_sign>("sign");
+        add_generic_op<hip_sigmoid>("sigmoid");
 
         add_extend_op<miopen_gemm, op::dot>("dot");
         add_extend_op<rocblas_quant_gemm, op::quant_dot>("quant_dot");

src/targets/gpu/sigmoid.cpp

-#include <migraphx/gpu/sigmoid.hpp>
-#include <migraphx/gpu/context.hpp>
-
-namespace migraphx {
-inline namespace MIGRAPHX_INLINE_NS {
-namespace gpu {
-
-shape miopen_sigmoid::compute_shape(const std::vector<shape>& inputs) const
-{
-    check_shapes{inputs, *this}.has(2).not_broadcasted();
-    return inputs.at(1);
-}
-
-argument miopen_sigmoid::compute(context& ctx,
-                                 const shape& output_shape,
-                                 const std::vector<argument>& args) const
-{
-    float alpha = 1;
-    float beta  = 0;
-    auto x_desc = make_tensor(args[0].get_shape());
-    auto y_desc = make_tensor(output_shape);
-    miopenActivationForward(ctx.get_stream().get_miopen(),
-                            ad.get(),
-                            &alpha,
-                            x_desc.get(),
-                            args[0].implicit(),
-                            &beta,
-                            y_desc.get(),
-                            args[1].implicit());
-
-    return args[1];
-}
-
-} // namespace gpu
-} // namespace MIGRAPHX_INLINE_NS
-} // namespace migraphx

test/gpu/miopen.cpp

@@ -3792,6 +3792,18 @@ struct test_reduce_mean : verify_program<test_reduce_mean>
     };
 };
 
+struct test_reduce_mean2 : verify_program<test_reduce_mean2>
+{
+    migraphx::program create_program() const
+    {
+        migraphx::program p;
+        migraphx::shape s{migraphx::shape::float_type, {1, 128, 768}};
+        auto x = p.add_parameter("x", s);
+        p.add_instruction(migraphx::op::reduce_mean{{2}}, x);
+        return p;
+    };
+};
+
 struct test_reduce_mean_int : verify_program<test_reduce_mean_int>
 {
     migraphx::program create_program() const