Merge branch 'master' of https://github.com/ROCmSoftwarePlatform/MIGraph into leaky_relu

src/include/migraph/functional.hpp

@@ -87,6 +87,11 @@ constexpr void each_args(F f, Ts&&... xs)
     swallow{(f(std::forward<Ts>(xs)), 0)...};
 }
 
+template <class F>
+constexpr void each_args(F)
+{
+}
+
 /// Implements a fix-point combinator
 template <class R, class F>
 detail::fix_f<R, F> fix(F f)

src/include/migraph/operation.hpp

@@ -8,7 +8,8 @@
 #include <type_traits>
 #include <utility>
 #include <migraph/shape.hpp>
-#include <migraph/rank.hpp>
+#include <migraph/reflect.hpp>
+#include <migraph/streamutils.hpp>
 #include <migraph/argument.hpp>
 #include <migraph/context.hpp>
 #include <migraph/auto_any_cast.hpp>
@@ -54,11 +55,34 @@ namespace operation_stream {
 template <class T>
 auto operator<<(std::ostream& os, const T& x) -> decltype(os << x.name())
 {
-    return os << x.name();
+    os << x.name();
+    char delim = '[';
+    reflect_each(x, [&](auto& y, auto name) {
+        os << delim;
+        os << name << "=";
+        stream_write_value(os, y);
+        delim = ',';
+    });
+    if(delim == ',')
+        os << "]";
+    return os;
 }
 
 } // namespace operation_stream
 
+namespace operation_equal {
+
+template <class T, class U>
+auto operator==(const T& x, const U& y) -> decltype(x.name() == y.name())
+{
+    if(x.name() != y.name())
+        return false;
+    const auto& yy = any_cast<T>(y);
+    return reflect_tie(x) == reflect_tie(yy);
+}
+
+} // namespace operation_equal
+
 template <class T>
 auto compute_op(rank<1>,
                 const T& x,
@@ -93,6 +117,7 @@ compute_op(const T& x, context& ctx, const shape& output_shape, const std::vecto
  *      shape compute_shape(const std::vector<shape>& input) const;
  *      argument compute(context& ctx,const shape& output,const std::vector<argument>& input) const;
  *     friend std::ostream & operator<<(std::ostream & os,const operation & op) ;
+ *     friend bool operator==(const operation & x,const operation & y) ;
  * };
  *
  */
@@ -178,6 +203,12 @@ struct operation
         return op.private_detail_te_get_handle().operator_shift_left(os);
     }
 
+    friend bool operator==(const operation& x, const operation& y)
+    {
+        assert(x.private_detail_te_handle_mem_var);
+        return x.private_detail_te_get_handle().operator==(y);
+    }
+
     private:
     struct private_detail_te_handle_base_type
     {
@@ -190,6 +221,7 @@ struct operation
         virtual argument
         compute(context& ctx, const shape& output, const std::vector<argument>& input) const = 0;
         virtual std::ostream& operator_shift_left(std::ostream& os) const                    = 0;
+        virtual bool operator==(const operation& y) const                                    = 0;
     };
 
     template <typename PrivateDetailTypeErasedT>
@@ -242,6 +274,12 @@ struct operation
             return os << private_detail_te_value;
         }
 
+        bool operator==(const operation& y) const override
+        {
+            using migraph::operation_equal::operator==;
+            return private_detail_te_value == y;
+        }
+
         PrivateDetailTypeErasedT private_detail_te_value;
     };
 
@@ -307,6 +345,8 @@ inline const ValueType& any_cast(const operation& x)
     return *y;
 }
 
+inline bool operator!=(const operation& x, const operation& y) { return !(x == y); }
+
 #endif
 
 } // namespace migraph

src/include/migraph/operators.hpp

@@ -35,7 +35,12 @@ struct batch_norm_inference
 
     bn_infer_mode_t bn_mode = spatial;
 
-    bool is_test = false;
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(
+            f(self.epsilon, "epsilon"), f(self.momentum, "momentum"), f(self.bn_mode, "bn_mode"));
+    }
 
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -56,6 +61,16 @@ struct convolution
         valid
     };
     padding_mode_t padding_mode = default_;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.padding, "padding"),
+                    f(self.stride, "stride"),
+                    f(self.dilation, "dilation"),
+                    f(self.padding_mode, "padding_mode"));
+    }
+
     std::string name() const { return "convolution"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -110,16 +125,6 @@ struct convolution
             MIGRAPH_THROW("Invalid padding mode");
         }
     }
-
-    friend std::ostream& operator<<(std::ostream& os, const convolution& op)
-    {
-        os << op.name() << "[";
-        os << "padding={" << stream_range(op.padding) << "}, ";
-        os << "stride={" << stream_range(op.stride) << "}, ";
-        os << "dilation={" << stream_range(op.dilation) << "}";
-        os << "]";
-        return os;
-    }
 };
 
 struct im2col
@@ -133,6 +138,16 @@ struct im2col
         same,
         valid
     };
+    padding_mode_t padding_mode = default_;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.padding, "padding"),
+                    f(self.stride, "stride"),
+                    f(self.dilation, "dilation"),
+                    f(self.padding_mode, "padding_mode"));
+    }
 
     std::string name() const { return "im2col"; }
 
@@ -168,6 +183,16 @@ struct pooling
     std::array<std::size_t, 2> padding = {{0, 0}};
     std::array<std::size_t, 2> stride  = {{1, 1}};
     std::array<std::size_t, 2> lengths = {{1, 1}};
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.mode, "mode"),
+                    f(self.padding, "padding"),
+                    f(self.stride, "stride"),
+                    f(self.lengths, "lengths"));
+    }
+
     std::string name() const { return "pooling"; }
 
     shape compute_shape(std::vector<shape> inputs) const
@@ -196,16 +221,6 @@ struct pooling
                             1)),
                 }};
     }
-
-    friend std::ostream& operator<<(std::ostream& os, const pooling& op)
-    {
-        os << op.name() << "[";
-        os << "padding={" << stream_range(op.padding) << "}, ";
-        os << "stride={" << stream_range(op.stride) << "}, ";
-        os << "lengths={" << stream_range(op.lengths) << "}";
-        os << "]";
-        return os;
-    }
 };
 
 struct activation
@@ -243,6 +258,13 @@ struct leaky_relu
 struct transpose
 {
     std::vector<int64_t> dims;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.dims, "dims"));
+    }
+
     std::string name() const { return "transpose"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -274,13 +296,6 @@ struct transpose
     {
         return {std::move(output_shape), std::move(args.front().data)};
     }
-    friend std::ostream& operator<<(std::ostream& os, const transpose& op)
-    {
-        os << op.name() << "[";
-        os << "dims={" << stream_range(op.dims) << "}";
-        os << "]";
-        return os;
-    }
 };
 
 struct contiguous
@@ -304,6 +319,13 @@ struct slice
     std::vector<int64_t> axes;
     std::vector<int64_t> starts;
     std::vector<int64_t> ends;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.axes, "axes"), f(self.starts, "starts"), f(self.ends, "ends"));
+    }
+
     std::string name() const { return "slice"; }
 
     auto fix_index(const std::vector<std::size_t>& lens, std::size_t axis, int64_t index) const
@@ -376,6 +398,13 @@ struct slice
 struct squeeze
 {
     std::vector<int64_t> axes;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.axes, "axes"));
+    }
+
     std::string name() const { return "squeeze"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -416,6 +445,13 @@ struct squeeze
 struct unsqueeze
 {
     std::vector<int64_t> axes;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.axes, "axes"));
+    }
+
     std::string name() const { return "unsqueeze"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -447,6 +483,13 @@ struct unsqueeze
 struct reshape
 {
     std::vector<int64_t> dims;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.dims, "dims"));
+    }
+
     std::string name() const { return "reshape"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -486,19 +529,19 @@ struct reshape
     {
         return {std::move(output_shape), std::move(args.front().data)};
     }
-    friend std::ostream& operator<<(std::ostream& os, const reshape& op)
-    {
-        os << op.name() << "[";
-        os << "dims={" << stream_range(op.dims) << "}";
-        os << "]";
-        return os;
-    }
 };
 
 struct gemm
 {
     float alpha = 1.0;
     float beta  = 0.0;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.alpha, "alpha"), f(self.beta, "beta"));
+    }
+
     std::string name() const { return "gemm"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -512,13 +555,6 @@ struct gemm
                           to_string_range(b.lens()) + "}");
         return {t, {a.lens()[0], b.lens()[1]}};
     }
-
-    friend std::ostream& operator<<(std::ostream& os, const gemm& op)
-    {
-        os << op.name() << "[";
-        os << "]";
-        return os;
-    }
 };
 
 struct unary
@@ -603,6 +639,13 @@ struct softmax
 struct flatten
 {
     uint64_t axis = 0;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.axis, "axis"));
+    }
+
     std::string name() const { return "flatten"; }
     shape compute_shape(std::vector<shape> inputs) const
     {
@@ -623,17 +666,17 @@ struct flatten
     {
         return {std::move(output_shape), std::move(args.front().data)};
     }
-    friend std::ostream& operator<<(std::ostream& os, const flatten& op)
-    {
-        os << op.name() << "[";
-        os << "axis=" << op.axis;
-        os << "]";
-        return os;
-    }
 };
 struct broadcast
 {
     uint64_t axis = 0;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.axis, "axis"));
+    }
+
     shape broadcast_shape;
     std::string name() const { return "broadcast"; }
     shape compute_shape(std::vector<shape> inputs) const
@@ -665,18 +708,10 @@ struct broadcast
     {
         return {std::move(output_shape), std::move(args.at(0).data)};
     }
-    friend std::ostream& operator<<(std::ostream& os, const broadcast& op)
-    {
-        os << op.name() << "[";
-        os << "axis=" << op.axis;
-        os << "]";
-        return os;
-    }
 };
 
 struct binary
 {
-    uint64_t broadcast = 0;
     shape compute_shape(std::vector<shape> inputs) const
     {
         check_shapes{inputs}.has(2).same_type().same_dims();
@@ -708,6 +743,13 @@ struct load
 {
     shape s;
     std::size_t offset = 0;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.s, "shape"), f(self.offset, "offset"));
+    }
+
     std::string name() const { return "load"; }
     shape compute_shape(const std::vector<shape>& inputs) const
     {
@@ -723,6 +765,13 @@ struct load
 struct outline
 {
     shape s;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(f(self.s, "shape"));
+    }
+
     std::string name() const { return "outline"; }
     shape compute_shape(const std::vector<shape>& inputs) const
     {

src/include/migraph/reflect.hpp

+#ifndef MIGRAPH_GUARD_RTGLIB_REFLECT_HPP
+#define MIGRAPH_GUARD_RTGLIB_REFLECT_HPP
+
+#include <migraph/functional.hpp>
+#include <migraph/rank.hpp>
+#include <functional>
+
+namespace migraph {
+
+namespace detail {
+
+template <class T, class Selector>
+auto reflect_impl(rank<1>, T& x, Selector f) -> decltype(T::reflect(x, f))
+{
+    return T::reflect(x, std::move(f));
+}
+
+template <class T, class Selector>
+auto reflect_impl(rank<0>, T&, Selector)
+{
+    return pack();
+}
+
+} // namespace detail
+
+template <class T, class Selector>
+auto reflect(T& x, Selector f)
+{
+    return detail::reflect_impl(rank<1>{}, x, std::move(f));
+}
+
+template <class T>
+auto reflect_tie(T& x)
+{
+    return reflect(x, [](auto&& y, auto&&...) { return std::ref(y); })(
+        [](auto&&... xs) { return std::tie(xs.get()...); });
+}
+
+template <class T, class F>
+void reflect_each(T& x, F f)
+{
+    return reflect(x, [](auto&& y, auto... ys) { return pack(std::ref(y), ys...); })(
+        [&](auto&&... xs) {
+            each_args([&](auto p) { p([&](auto&& y, auto... ys) { f(y.get(), ys...); }); }, xs...);
+        });
+}
+
+} // namespace migraph
+
+#endif

src/include/migraph/streamutils.hpp

@@ -3,6 +3,7 @@
 
 #include <ostream>
 #include <algorithm>
+#include <migraph/rank.hpp>
 
 namespace migraph {
 
@@ -31,6 +32,28 @@ inline stream_range_container<Range> stream_range(const Range& r)
     return {r};
 }
 
+namespace detail {
+
+template <class Range>
+auto stream_write_value_impl(rank<1>, std::ostream& os, const Range& r)
+    -> decltype(r.begin(), r.end(), void())
+{
+    os << stream_range(r);
+}
+
+template <class T>
+void stream_write_value_impl(rank<0>, std::ostream& os, const T& x)
+{
+    os << x;
+}
+} // namespace detail
+
+template <class T>
+void stream_write_value(std::ostream& os, const T& x)
+{
+    detail::stream_write_value_impl(rank<1>{}, os, x);
+}
+
 } // namespace migraph
 
 #endif

src/onnx/onnx.cpp

@@ -255,7 +255,8 @@ struct onnx_parser
                           ? op::batch_norm_inference::spatial
                           : op::batch_norm_inference::per_activation;
         }
-        op::batch_norm_inference op{epsilon, momentum, bn_mode, is_test};
+        (void)is_test;
+        op::batch_norm_inference op{epsilon, momentum, bn_mode};
         return prog.add_instruction(op, std::move(args));
     }
 

src/opt/memory_coloring_impl.cpp

@@ -192,7 +192,7 @@ void memory_coloring_impl::register_operand_alias()
     operand_alias["@param"]            = -1;
     operand_alias["transpose"]         = 0;
     operand_alias["flatten"]           = 0;
-    operand_alias["broadcast"]         = 1;
+    operand_alias["broadcast"]         = 0;
     operand_alias["reshape"]           = 0;
     operand_alias["pass"]              = 0;
 }

src/targets/gpu/include/migraph/gpu/convolution.hpp

@@ -26,19 +26,18 @@ struct miopen_convolution
     shared<convolution_descriptor> cd;
     miopenConvFwdAlgorithm_t algo{};
 
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        // TODO: Add algo
+        return op::convolution::reflect(self.op, f);
+    }
+
     std::string name() const { return "gpu::convolution"; }
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
     shape compile(context& ctx, const shape& output_shape, std::vector<instruction_ref> inputs);
-    friend std::ostream& operator<<(std::ostream& os, const miopen_convolution& self)
-    {
-        os << self.name() << "[";
-        os << self.op << ", ";
-        os << "algo=" << self.algo;
-        os << "]";
-        return os;
-    }
 };
 
 } // namespace gpu

test/onnx/onnx_test.cpp

@@ -54,8 +54,8 @@ void pytorch_conv_bn_relu_maxpool()
     auto l3       = p.add_instruction(migraph::op::convolution{}, l0, l1);
     auto l4       = p.add_instruction(migraph::op::broadcast{axis, l3->get_shape()}, l2);
     auto l5       = p.add_instruction(migraph::op::add{}, l3, l4);
-    auto l6       = p.add_instruction(migraph::op::batch_norm_inference{}, l5, p3, p4, p5, p6);
-    auto l7       = p.add_instruction(migraph::op::activation{"relu"}, l6);
+    auto l6 = p.add_instruction(migraph::op::batch_norm_inference{1.0e-5f}, l5, p3, p4, p5, p6);
+    auto l7 = p.add_instruction(migraph::op::activation{"relu"}, l6);
     p.add_instruction(migraph::op::pooling{"max", {{0, 0}}, {{2, 2}}, {{2, 2}}}, l7);
 
     auto prog = migraph::parse_onnx("conv_bn_relu_maxpool.onnx");

test/operation.cpp

@@ -6,6 +6,11 @@
 
 struct simple_operation
 {
+    template <class T, class F>
+    static auto reflect(T& x, F f)
+    {
+        return migraph::pack(f(x.data, "data"));
+    }
     int data = 1;
     std::string name() const { return "simple"; }
     migraph::shape compute_shape(const std::vector<migraph::shape>&) const
@@ -19,7 +24,7 @@ struct simple_operation
     }
     friend std::ostream& operator<<(std::ostream& os, const simple_operation& op)
     {
-        os << "[" << op.name() << "]";
+        os << op.name() << "[" << op.data << "]";
         return os;
     }
 };
@@ -44,9 +49,23 @@ void operation_copy_test()
     migraph::operation op1 = s;   // NOLINT
     migraph::operation op2 = op1; // NOLINT
     // cppcheck-suppress duplicateExpression
-    EXPECT(s.name() == op1.name());
+    EXPECT(s == op1);
     // cppcheck-suppress duplicateExpression
-    EXPECT(op2.name() == op1.name());
+    EXPECT(op2 == op1);
+}
+
+void operation_equal_test()
+{
+    simple_operation s{};
+    migraph::operation op1 = s;
+    s.data                 = 2;
+    migraph::operation op2 = op1; // NOLINT
+    migraph::operation op3 = s;   // NOLINT
+
+    EXPECT(s != op1);
+    EXPECT(op2 == op1);
+    EXPECT(op3 != op2);
+    EXPECT(op3 != op1);
 }
 
 struct not_operation
@@ -70,7 +89,7 @@ void operation_print()
     std::stringstream ss;
     ss << op;
     std::string s = ss.str();
-    EXPECT(s == "[simple]");
+    EXPECT(s == "simple[1]");
 }
 
 void operation_default_print()
@@ -85,6 +104,7 @@ void operation_default_print()
 int main()
 {
     operation_copy_test();
+    operation_equal_test();
     operation_any_cast();
     operation_print();
     operation_default_print();

tools/include/operation.hpp

@@ -8,7 +8,8 @@
 #include <type_traits>
 #include <utility>
 #include <migraph/shape.hpp>
-#include <migraph/rank.hpp>
+#include <migraph/reflect.hpp>
+#include <migraph/streamutils.hpp>
 #include <migraph/argument.hpp>
 #include <migraph/context.hpp>
 #include <migraph/auto_any_cast.hpp>
@@ -54,11 +55,34 @@ namespace operation_stream {
 template <class T>
 auto operator<<(std::ostream& os, const T& x) -> decltype(os << x.name())
 {
-    return os << x.name();
+    os << x.name();
+    char delim = '[';
+    reflect_each(x, [&](auto& y, auto name) {
+        os << delim;
+        os << name << "=";
+        stream_write_value(os, y);
+        delim = ',';
+    });
+    if(delim == ',')
+        os << "]";
+    return os;
 }
 
 } // namespace operation_stream
 
+namespace operation_equal {
+
+template <class T, class U>
+auto operator==(const T& x, const U& y) -> decltype(x.name() == y.name())
+{
+    if(x.name() != y.name())
+        return false;
+    const auto& yy = any_cast<T>(y);
+    return reflect_tie(x) == reflect_tie(yy);
+}
+
+} // namespace operation_equal
+
 template <class T>
 auto compute_op(rank<1>,
                 const T& x,
@@ -85,13 +109,32 @@ compute_op(const T& x, context& ctx, const shape& output_shape, const std::vecto
 }
 
 <%
-interface('operation',
-    virtual('name', returns='std::string', const=True),
-    virtual('compute_shape', returns='shape', input='const std::vector<shape>&', const=True),
-    virtual('compute', returns='argument', ctx='context&', output='const shape&', input='const std::vector<argument>&', const=True, default='compute_op'),
-    friend('operator<<', returns='std::ostream &', os='std::ostream &', op='const operation &', using='migraph::operation_stream::operator<<')
-)
-%>
+ interface(
+     'operation',
+     virtual('name', returns = 'std::string', const = True),
+     virtual('compute_shape', returns = 'shape', input = 'const std::vector<shape>&', const = True),
+     virtual('compute',
+             returns = 'argument',
+             ctx     = 'context&',
+             output  = 'const shape&',
+             input   = 'const std::vector<argument>&',
+             const   = True,
+             default = 'compute_op'),
+     friend('operator<<',
+            returns = 'std::ostream &',
+            os      = 'std::ostream &',
+            op      = 'const operation &',
+            using   = 'migraph::operation_stream::operator<<'),
+     friend('operator==',
+            returns = 'bool',
+            x       = 'const operation &',
+            y       = 'const operation &',
+            using   = 'migraph::operation_equal::operator==')) %>
+
+    inline bool operator!=(const operation& x, const operation& y)
+{
+    return !(x == y);
+}
 
 #endif