Fix tidy warnings

src/include/migraphx/operation.hpp

@@ -49,7 +49,7 @@ struct operation
     argument compute(context& ctx, const shape& output, const std::vector<argument>& input) const;
     /// An optional method to return which argument the output will alias. If
     /// there is no aliased output then -1 can be returned.
-    int output_alias(const std::vector<shape>& input) const;
+    std::ptrdiff_t output_alias(const std::vector<shape>& input) const;
     /// An optional stream operator to print the operation. When this is not
     /// implemented, it will just print the operation's name.
     friend std::ostream& operator<<(std::ostream& os, const operation& op);
@@ -175,7 +175,7 @@ auto is_context_free_op(const T& x) -> decltype(is_context_free_op(
 }
 
 template <class T>
-int output_alias_op(rank<0>, const T&, const std::vector<shape>&)
+std::ptrdiff_t output_alias_op(rank<0>, const T&, const std::vector<shape>&)
 {
     return -1;
 }
@@ -188,7 +188,7 @@ auto output_alias_op(rank<1>, const T& x, const std::vector<shape>& shapes)
 }
 
 template <class T>
-int output_alias_op(const T& x, const std::vector<shape>& shapes)
+std::ptrdiff_t output_alias_op(const T& x, const std::vector<shape>& shapes)
 {
     return output_alias_op(rank<1>{}, x, shapes);
 }
@@ -239,7 +239,7 @@ auto has_finalize_op(const T&) -> decltype(has_finalize_op(rank<1>{},
  *      std::string name() const;
  *      bool is_context_free() const;
  *      bool has_finalize() const;
- *      int output_alias(const std::vector<shape>& input) const;
+ *      std::ptrdiff_t output_alias(const std::vector<shape>& input) const;
  *      void finalize(context& ctx,const shape& output,const std::vector<shape>& input) ;
  *      shape compute_shape(const std::vector<shape>& input) const;
  *      argument compute(context& ctx,const shape& output,const std::vector<argument>& input) const;
@@ -325,7 +325,7 @@ struct operation
         return (*this).private_detail_te_get_handle().has_finalize();
     }
 
-    int output_alias(const std::vector<shape>& input) const
+    std::ptrdiff_t output_alias(const std::vector<shape>& input) const
     {
         assert((*this).private_detail_te_handle_mem_var);
         return (*this).private_detail_te_get_handle().output_alias(input);
@@ -383,7 +383,7 @@ struct operation
         virtual std::string name() const                                = 0;
         virtual bool is_context_free() const                            = 0;
         virtual bool has_finalize() const                               = 0;
-        virtual int output_alias(const std::vector<shape>& input) const = 0;
+        virtual std::ptrdiff_t output_alias(const std::vector<shape>& input) const = 0;
         virtual void
         finalize(context& ctx, const shape& output, const std::vector<shape>& input) = 0;
         virtual shape compute_shape(const std::vector<shape>& input) const           = 0;
@@ -432,7 +432,7 @@ struct operation
 
         bool has_finalize() const override { return has_finalize_op(private_detail_te_value); }
 
-        int output_alias(const std::vector<shape>& input) const override
+        std::ptrdiff_t output_alias(const std::vector<shape>& input) const override
         {
 
             return output_alias_op(private_detail_te_value, input);

src/onnx/cifar10.cpp

@@ -32,7 +32,7 @@ auto read_cifar10_images(const std::string& full_path)
             labels[i] = *pimage++;
             for(size_t j = 0; j < nbytes_per_image; j++)
             {
-                float v                        = *(pimage + j) / 255.0f;
+                float v                        = float(*(pimage + j)) / 255.0f;
                 data[i * nbytes_per_image + j] = v;
             }
         }

src/onnx/onnx.cpp

@@ -207,7 +207,7 @@ struct onnx_parser
     template <class T>
     void add_generic_op(std::string name, T x)
     {
-        add_op(name, [this, x](attribute_map, std::vector<instruction_ref> args) {
+        add_op(name, [this, x](const attribute_map&, std::vector<instruction_ref> args) {
             return prog.add_instruction(x, args);
         });
     }
@@ -215,7 +215,7 @@ struct onnx_parser
     template <class T>
     void add_variadic_op(std::string name, T x)
     {
-        add_op(name, [this, x](attribute_map, std::vector<instruction_ref> args) {
+        add_op(name, [this, x](const attribute_map&, std::vector<instruction_ref> args) {
             return std::accumulate(std::next(args.begin()),
                                    args.end(),
                                    args.front(),

src/opt/memory_coloring_impl.cpp

@@ -63,11 +63,11 @@ bool memory_coloring_impl::allocate(interval_ptr interval)
         }
     }
 
-    long long offset = 0;
+    std::size_t offset = 0;
     while(!conflict_queue.empty())
     {
         live_range* range     = conflict_queue.top();
-        long long iter_offset = range->offset;
+        std::size_t iter_offset = range->offset;
         if(offset > iter_offset)
         {
             offset = std::max(offset, iter_offset + range->size);
@@ -97,7 +97,7 @@ void memory_coloring_impl::build()
     if(num_of_instrs == 0)
         return;
 
-    int cur_points        = num_of_instrs * 2;
+    auto cur_points        = num_of_instrs * 2;
     instruction_ref iter  = p_program->end();
     instruction_ref begin = p_program->begin();
     std::vector<instruction_ref> dead_instrs;
@@ -193,13 +193,13 @@ void memory_coloring_impl::rewrite()
                 continue;
 
             std::size_t offset = 0;
-            if(interval->get_offset() == invalid_offset)
+            if(interval->get_offset() != invalid_offset)
             {
-                assert(interval->result.bytes() == 0);
+                offset = interval->get_offset();
             }
             else
             {
-                offset = interval->get_offset();
+                assert(interval->result.bytes() == 0);
             }
 
             if(is_allocate(ins))
@@ -207,15 +207,6 @@ void memory_coloring_impl::rewrite()
                 p_program->replace_instruction(
                     ins, op::load{ins->get_shape(), offset}, scratch_param);
             }
-            else if(is_literal(ins))
-            {
-#if 0                
-                auto pre      = p_program->add_literal(ins->lit);
-                bool pre_copy = (interval->get_begin() < earliest_end_point);
-                p_program->replace_instruction(
-                    ins, write_literal{offset, pre_copy}, scratch_param, pre);
-#endif
-            }
         }
     }
     MIGRAPHX_DEBUG(dump("---After rewrite---"));

src/opt/memory_coloring_impl.hpp

@@ -21,15 +21,15 @@
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
 
-static const int invalid_offset = -1;
+static const std::size_t invalid_offset = std::numeric_limits<std::size_t>::max();
 
 struct live_range
 {
-    int begin;        // begin point in the instruction stream.
-    int end;          // end point in the instruction stream.
-    long long offset; // offset to base pointer of allocated memory trunk.
-    int vn;           // value number that identifies this live_range.
-    long long size;   // size of required memory in bytes
+    std::size_t begin;        // begin point in the instruction stream.
+    std::size_t end;          // end point in the instruction stream.
+    std::size_t offset; // offset to base pointer of allocated memory trunk.
+    std::size_t vn;           // value number that identifies this live_range.
+    std::size_t size;   // size of required memory in bytes
 #ifdef MIGRAPHX_DEBUG_OPT
     void dump();
 #endif
@@ -45,9 +45,9 @@ struct live_interval
         is_live_on_entry = false;
     }
 
-    void add_use(int use) { use_points.push_front(use); }
-    int get_begin() const { return segment.begin; }
-    int get_end() const { return segment.end; }
+    void add_use(std::size_t use) { use_points.push_front(use); }
+    std::size_t get_begin() const { return segment.begin; }
+    std::size_t get_end() const { return segment.end; }
     long long get_offset() const { return segment.offset; }
 
 #ifdef MIGRAPHX_DEBUG_OPT
@@ -55,9 +55,9 @@ struct live_interval
 #endif
 
     live_range segment;
-    int id;
-    std::list<int> use_points;
-    int def_point;
+    std::size_t id;
+    std::list<std::size_t> use_points;
+    std::size_t def_point;
     shape result;
     bool is_literal;
     bool is_live_on_entry;
@@ -111,8 +111,8 @@ struct memory_coloring_impl
     {
         if((range1.size == 0) || (range2.size == 0))
             return false;
-        long long end1 = range1.offset + range1.size - 1;
-        long long end2 = range2.offset + range2.size - 1;
+        auto end1 = range1.offset + range1.size - 1;
+        auto end2 = range2.offset + range2.size - 1;
         return ((end1 < range2.offset) || (end2 < range1.offset));
     }
     void verify();
@@ -125,8 +125,8 @@ struct memory_coloring_impl
     {
         bool operator()(const interval_ptr i1, const interval_ptr i2) const
         {
-            int len1 = i1->get_end() - i1->get_begin();
-            int len2 = i2->get_end() - i2->get_begin();
+            auto len1 = i1->get_end() - i1->get_begin();
+            auto len2 = i2->get_end() - i2->get_begin();
             if(len1 != len2)
             {
                 return (len1 < len2);
@@ -158,7 +158,7 @@ struct memory_coloring_impl
 
     int num_of_lives;
     int max_value_number;
-    long long required_bytes;
+    std::size_t required_bytes;
     // The earliest program point where an live interval ends.
     int earliest_end_point;
     // The latest program point where an live interval ends.

src/targets/cpu/lowering.cpp

@@ -117,7 +117,7 @@ struct cpu_lrn
             int channels        = output_shape.lens()[1];
             int height          = output_shape.lens()[2];
             int width           = output_shape.lens()[3];
-            float alphaoverarea = op.alpha / op.size;
+            float alphaoverarea = op.alpha / float(op.size);
             int radius          = (op.size - 1) / 2;
 
             par_dfor(n_batch, height, width)([&](int b, int h, int w) {
@@ -165,15 +165,15 @@ struct cpu_convolution
                      output_shape.lens()[2],
                      output_shape.lens()[3])(
                 [&](std::size_t o, std::size_t w, std::size_t i, std::size_t j) {
-                    const int start_x  = i * op.stride[0] - op.padding[0];
-                    const int start_y  = j * op.stride[1] - op.padding[1];
-                    const int group_id = w / (wei_n / op.group);
+                    const auto start_x  = i * op.stride[0] - op.padding[0];
+                    const auto start_y  = j * op.stride[1] - op.padding[1];
+                    const auto group_id = w / (wei_n / op.group);
 
                     double acc = 0;
                     dfor(wei_c, wei_h, wei_w)([&](std::size_t k, std::size_t x, std::size_t y) {
-                        const int in_x  = start_x + x;
-                        const int in_y  = start_y + y;
-                        const int in_ch = group_id * wei_c + k;
+                        const auto in_x  = start_x + x;
+                        const auto in_y  = start_y + y;
+                        const auto in_ch = group_id * wei_c + k;
                         if(in_x >= 0 && in_x < in_h && in_y >= 0 && in_y < in_w)
                         {
                             acc += input(o, in_ch, in_x, in_y) * weights(w, k, x, y);
@@ -209,10 +209,8 @@ struct cpu_im2col
             const std::size_t& stride_h = op.stride[0];
             const std::size_t& stride_w = op.stride[1];
 
-            int kdiv2_h;
-            int kdiv2_w;
-            kdiv2_h = kernel_h / 2;
-            kdiv2_w = kernel_w / 2;
+            auto kdiv2_h = kernel_h / 2;
+            auto kdiv2_w = kernel_w / 2;
             // calculate output sizes
             const std::size_t col_height = (height - kernel_h + 2 * pad_h) / stride_h + 1;
             const std::size_t col_width  = (width - kernel_w + 2 * pad_w) / stride_w + 1;
@@ -230,8 +228,8 @@ struct cpu_im2col
                     dfor(channels,
                          kernel_h,
                          kernel_w)([&](std::size_t c, std::size_t koffset, std::size_t loffset) {
-                        int idx     = iinput + koffset - kdiv2_h;
-                        int jdx     = jinput + loffset - kdiv2_w;
+                        auto idx     = iinput + koffset - kdiv2_h;
+                        auto jdx     = jinput + loffset - kdiv2_w;
                         col(ldx, p) = ((idx >= 0) && (idx < height) && (jdx >= 0) && (jdx < width))
                                           ? input(0, c, idx, jdx)
                                           : 0;
@@ -622,20 +620,20 @@ struct softmax2d
             auto nw          = input.get_shape().lens()[3];
             dfor(nb, nh, nw)([&](std::size_t b, std::size_t i, std::size_t j) {
                 value_type cmax = std::numeric_limits<value_type>::lowest();
-                for(int c = 0; c < nc; c++)
+                for(std::size_t c = 0; c < nc; c++)
                 {
                     cmax = std::max(cmax, input(b, c, i, j));
                 }
-                for(int c = 0; c < nc; c++)
+                for(std::size_t c = 0; c < nc; c++)
                 {
                     output(b, c, i, j) = std::exp(input(b, c, i, j) - cmax);
                 }
                 value_type sum = value_type(0);
-                for(int c = 0; c < nc; c++)
+                for(std::size_t c = 0; c < nc; c++)
                 {
                     sum += output(b, c, i, j);
                 }
-                for(int c = 0; c < nc; c++)
+                for(std::size_t c = 0; c < nc; c++)
                 {
                     output(b, c, i, j) = output(b, c, i, j) / sum;
                 }

src/targets/gpu/device/gather.cpp

@@ -16,7 +16,7 @@ argument gather(hipStream_t stream,
                 std::vector<migraphx::argument> args,
                 int axis)
 {
-    int axis_index = (axis < 0) ? (axis + args[0].get_shape().lens().size()) : axis;
+    auto axis_index = (axis < 0) ? (axis + args[0].get_shape().lens().size()) : axis;
     visit_all(args.back(), args[0])([&](auto output, auto input) {
         std::size_t nelements = output_shape.elements();
         args[1].visit([&](auto indices) {

src/targets/gpu/fuse_ops.cpp

@@ -162,7 +162,7 @@ struct hip_triadd
         device::add(ctx.get_stream().get(), args.at(3), args.at(0), args.at(1), args.at(2));
         return args.at(3);
     }
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 struct hip_triadd_relu
@@ -178,7 +178,7 @@ struct hip_triadd_relu
         device::add_relu(ctx.get_stream().get(), args.at(3), args.at(0), args.at(1), args.at(2));
         return args.at(3);
     }
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 struct hip_add_relu
@@ -194,7 +194,7 @@ struct hip_add_relu
         device::add_relu(ctx.get_stream().get(), args.at(2), args.at(0), args.at(1));
         return args.at(2);
     }
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 struct find_add_relu
@@ -285,7 +285,7 @@ struct miopen_conv_bias
 
     void finalize(context& ctx, const shape&, const std::vector<shape>&) { f.compile(ctx); }
     shape get_workspace(context& ctx) { return f.get_workspace(ctx); }
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 struct miopen_conv_bias_relu
@@ -332,7 +332,7 @@ struct miopen_conv_bias_relu
     }
     void finalize(context& ctx, const shape&, const std::vector<shape>&) { f.compile(ctx); }
     shape get_workspace(context& ctx) { return f.get_workspace(ctx); }
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 template <class... Ms>

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

@@ -17,7 +17,7 @@ struct miopen_abs
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -17,7 +17,7 @@ struct miopen_batch_norm_inference
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -18,7 +18,7 @@ struct hip_concat
     shape compute_shape(std::vector<shape> inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -16,7 +16,7 @@ struct miopen_contiguous
     std::string name() const { return "gpu::contiguous"; }
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument compute(context&, shape output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -31,7 +31,7 @@ struct miopen_convolution
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
     shape compile(context& ctx, const shape& output_shape, std::vector<shape> inputs);
     void finalize(context& ctx, const shape& output_shape, std::vector<shape> inputs);
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -17,7 +17,7 @@ struct miopen_elu
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -18,7 +18,7 @@ struct hip_gather
     shape compute_shape(std::vector<shape> inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -17,7 +17,7 @@ struct miopen_gemm
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -73,7 +73,7 @@ struct hip_write
     {
         return to_gpu(args.front());
     }
-    int output_alias(const std::vector<shape>&) const { return 0; }
+    std::ptrdiff_t output_alias(const std::vector<shape>&) const { return 0; }
 };
 
 struct hip_copy
@@ -89,7 +89,7 @@ struct hip_copy
         copy_to_gpu(args[0], args[1]);
         return args[1];
     }
-    int output_alias(const std::vector<shape>&) const { return 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>&) const { return 1; }
 };
 
 } // namespace gpu

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

@@ -17,7 +17,7 @@ struct miopen_leaky_relu
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -29,7 +29,7 @@ struct hip_logsoftmax
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu

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

@@ -17,7 +17,7 @@ struct miopen_lrn
     shape compute_shape(const std::vector<shape>& inputs) const;
     argument
     compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
-    int output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
+    std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const { return shapes.size() - 1; }
 };
 
 } // namespace gpu