Merge branch 'simplify_1_mul_div_ops' into divide_by_zero_check

tools/api.py

@@ -21,7 +21,10 @@
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 # THE SOFTWARE.
 #####################################################################################
-import string, sys, re, runpy
+import string
+import sys
+import re
+import runpy
 from functools import wraps
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
@@ -308,18 +311,39 @@ class Parameter:
         return self.substitute('${type} ${name}', prefix=prefix)
 
     def virtual_output_args(self, prefix: Optional[str] = None) -> List[str]:
-        return [
-            '&{prefix}{n}'.format(prefix=prefix or '', n=n)
-            for t, n in self.cparams
-        ]
+        container_type = self.type.remove_generic().basic().str()
+        decl_list: List[str] = []
+        container = (container_type == "std::vector"
+                     or container_type == "vector")
+        for t, n, in self.cparams:
+            if not decl_list and container:
+                decl_list.append('{prefix}{n}.data()'.format(prefix=prefix
+                                                             or '',
+                                                             n=n))
+            else:
+                decl_list.append('&{prefix}{n}'.format(prefix=prefix or '',
+                                                       n=n))
+        return decl_list
 
     def virtual_output_declarations(self,
                                     prefix: Optional[str] = None) -> List[str]:
-        return [
-            'std::remove_pointer_t<{type}> {prefix}{n};'.format(
-                type=Type(t).str(), prefix=prefix or '', n=n)
-            for t, n in self.cparams
-        ]
+        container_type = self.type.remove_generic().basic().str()
+        container = (container_type == "std::vector"
+                     or container_type == "vector")
+        decl_list: List[str] = []
+        for t, n, in self.cparams:
+            if not decl_list and container:
+                inner_t = self.type.inner_type()
+                if inner_t:
+                    decl_list.append(
+                        'std::array<{inner_t}, 1024> {prefix}{n};'.format(
+                            inner_t=inner_t.str(), prefix=prefix or '', n=n))
+            else:
+                decl_list.append(
+                    'std::remove_pointer_t<{type}> {prefix}{n}'.format(
+                        type=Type(t).str(), prefix=prefix or '', n=n))
+                decl_list[-1] += '=1024;' if container else ';'
+        return decl_list
 
     def virtual_output(self, prefix: Optional[str] = None) -> str:
         write = self.virtual_write
@@ -694,9 +718,14 @@ def generate_cpp_header() -> str:
                           [c.generate() for c in cpp_classes])
 
 
-def cwrap(name: str) -> Callable:
+c_type_map: Dict[str, Type] = {}
+
+
+def cwrap(name: str, c_type: Optional[str] = None) -> Callable:
     def with_cwrap(f):
         type_map[name] = f
+        if c_type:
+            c_type_map[name] = Type(c_type)
 
         @wraps(f)
         def decorated(*args, **kwargs):
@@ -917,6 +946,9 @@ def vector_c_wrap(p: Parameter) -> None:
     # Not a generic type
     if not inner:
         return
+    if inner.str() in c_type_map:
+        inner = c_type_map[inner.str()]
+
     t = inner.add_pointer()
     if p.type.is_reference():
         if p.type.is_const():
@@ -927,6 +959,12 @@ def vector_c_wrap(p: Parameter) -> None:
             p.add_size_param()
             p.bad_param('${name} == nullptr or ${size} == nullptr',
                         'Null pointer')
+        elif p.virtual:
+            p.add_param(t)
+            p.add_size_param()
+            p.bad_param('${name} == nullptr or ${size} == nullptr',
+                        'Null pointer')
+            p.virtual_write = '{${name}.begin(), ${name}.begin()+${size}}; // cppcheck-suppress returnDanglingLifetime'
         else:
             p.add_param(t)
             p.bad_param('${name} == nullptr', 'Null pointer')
@@ -946,7 +984,7 @@ def vector_c_wrap(p: Parameter) -> None:
         p.write = ['std::copy(${result}.begin(), ${result}.end(), ${name})']
 
 
-@cwrap('std::string')
+@cwrap('std::string', 'char*')
 def string_c_wrap(p: Parameter) -> None:
     t = Type('char*')
     if p.returns:
@@ -1061,9 +1099,9 @@ struct ${ctype} {
 c_api_virtual_impl = Template('''
 ${return_type} ${name}(${params}) const
 {
-    ${output_decls}
     if (${fname} == nullptr)
         throw std::runtime_error("${name} function is missing.");
+    ${output_decls}
     std::array<char, 256> exception_msg;
     exception_msg.front() = '\\0';
     auto api_error_result = ${fname}(${args});

tools/api/api.cpp

@@ -21,6 +21,7 @@
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
  * THE SOFTWARE.
  */
+#include <migraphx/execution_environment.hpp>
 #include <migraphx/migraphx.h>
 #include <migraphx/rank.hpp>
 #include <migraphx/shape.hpp>
@@ -166,6 +167,13 @@ void set_output_names(tf_options& options, std::vector<const char*> names)
     options.output_node_names = std::vector<std::string>(names.begin(), names.end());
 }
 
+std::vector<argument>
+run_async(program& p, const parameter_map& params, void* s, std::string_view name)
+{
+    execution_environment exec_env{any_ptr(s, name), true};
+    return p.eval(params, exec_env);
+}
+
 template <class Value>
 std::vector<const char*> get_names(const std::unordered_map<std::string, Value>& m)
 {
@@ -265,11 +273,18 @@ struct experimental_custom_op
 template <class CustomOp>
 struct custom_operation
 {
+
     template <class Self, class F>
     static auto reflect(Self&, F)
     {
         return pack();
     }
+
+    value attributes() const
+    {
+        return {{"custom_op", true}, {"target", op.runs_on_offload_target() ? "gpu" : "cpu"}};
+    }
+
     CustomOp op;
     std::string name() const { return op.xobject.name; }
 
@@ -284,6 +299,23 @@ struct custom_operation
     {
         return op.compute(std::move(ctx), std::move(output_shape), std::move(inputs));
     }
+
+    std::ptrdiff_t output_alias(std::vector<shape> inputs) const
+    {
+        auto alias_vec = op.output_alias(std::move(inputs));
+        // TODO: For now, only support one output alias
+        if(alias_vec.empty())
+        {
+            return -1;
+        }
+        if(alias_vec.size() > 1)
+        {
+            MIGRAPHX_THROW("Currently, CustomOps in MIGraphX only supports one output_alias");
+        }
+        return alias_vec.front();
+    }
+
+    bool runs_on_offload_target() const { return op.runs_on_offload_target(); }
 };
 
 template <class CustomOp>

tools/api/migraphx.h

@@ -26,7 +26,6 @@
 
 #include <stdlib.h>
 #include <stdbool.h>
-
 // Add new types here
 // clang-format off
 #define MIGRAPHX_SHAPE_VISIT_TYPES(m) \

tools/include/context.hpp

@@ -66,12 +66,21 @@ any_ptr get_queue_context(T&)
 {
     return {};
 }
+template <class T>
+void wait_for_context(T&, any_ptr)
+{
+}
+
+template <class T>
+void finish_on_context(T&, any_ptr){}
 
 <%
  interface('context',
            virtual('to_value', returns = 'value', const = True, default = 'to_value_context'),
            virtual('from_value', v = 'const value&', default = 'from_value_context'),
            virtual('get_queue', returns = 'any_ptr', default = 'get_queue_context'),
+           virtual('wait_for', queue = 'any_ptr', returns = 'void', default = 'wait_for_context'),
+           virtual('finish_on', queue = 'any_ptr', returns = 'void', default = 'finish_on_context'),
            virtual('finish', returns = 'void', const = True)) %>
 
     inline void migraphx_to_value(value& v, const context& ctx)

tools/include/operation.hpp

@@ -68,8 +68,10 @@ struct operation
      *
      * @param ctx This is the context created by the `target` during compilation. Implementations
      * can use the target's `context` class rather than the `context` interface class.
-     * @param output This is the output shape. It is equivalent to running `compute_shape` with each
-     * `shape` of the `argument`.
+     * @param output Equivalent to running `compute_shape` with each `shape` of the `argument`.
+     * For a fixed shape, the returned argument will have the same shape as `output`.
+     * For a dynamic shape, the returned `argument` will be a fixed shape within the bounds
+     * set in the dynamic shape `output`.
      * @param input This is the `argument` result from the previous instruction's computation.
      * @return Return an `argument` of the result computation. The `shape` of `argument` should be
      * the same the `output` shape.
@@ -137,7 +139,7 @@ auto compute_shape_op(rank<2>, const T& x, const std::vector<shape>& inputs)
     -> decltype(x.normalize_compute_shape(inputs))
 {
     dependent_type<operation, T> y = x;
-    normalize_attributes(y, inputs[0].lens());
+    normalize_attributes(y, inputs[0].max_lens());
     return any_cast<T>(y).normalize_compute_shape(inputs);
 }
 
@@ -558,7 +560,7 @@ lifetime get_lifetime_op(const T&)
 
     inline bool operator!=(const operation& x, const operation& y)
 {
-    return !(x == y);
+    return not(x == y);
 }
 
 inline value

tools/include/target.hpp

@@ -37,8 +37,10 @@
 #include <migraphx/compile_options.hpp>
 #include <migraphx/argument.hpp>
 #include <migraphx/rank.hpp>
+#include <migraphx/module_ref.hpp>
 #include <migraphx/support_metric.hpp>
 #include <migraphx/instruction_ref.hpp>
+#include <migraphx/supported_segments.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
@@ -64,12 +66,12 @@ struct target
      */
     context get_context() const;
     /**
-     * @brief Check how well an instruction is supported on a target with the given metric
-     * @param ins Instruction to check if it's supported
-     * @param metric Used to define how the return value should be interpreted
-     * @return The value based on the chosen metric. Negative numbers mean unsupported
+     * @brief Get the ranges of instructions that are supported on a target
+     * @param module Module to check for supported instructions
+     * @param metric Used to define how the quality of the support should be measured
+     * @return the supported segments of the graph
      */
-    float is_supported(T&, instruction_ref ins, support_metric m) const;
+    supported_segments target_is_supported(T&, const_module_ref mod, support_metric metric) const;
     /**
      * @brief copy an argument to the current target.
      *
@@ -115,9 +117,9 @@ argument copy_from_target(T&, const argument& arg)
 }
 
 template <class T>
-float target_is_supported(T&, instruction_ref, support_metric)
+supported_segments target_find_supported(T&, const_module_ref, support_metric)
 {
-    return 0;
+    return {};
 }
 
 <%
@@ -125,7 +127,7 @@ interface('target',
      virtual('name', returns='std::string', const=True),
      virtual('get_passes', ctx='context&', options='const compile_options&', returns='std::vector<pass>', const=True),
      virtual('get_context', returns='context', const=True),
-     virtual('is_supported', returns='float', ins='instruction_ref', m='support_metric', const=True, default='target_is_supported'),
+     virtual('find_supported', returns='supported_segments', mod='const_module_ref', m='support_metric', const=True, default='target_find_supported'),
      virtual('copy_to',
              returns = 'argument',
              input   = 'const argument&',

tools/license_stamper.py

@@ -22,11 +22,14 @@
 #  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 #  THE SOFTWARE.
 #####################################################################################
-import subprocess
+import subprocess, os
 
 #Debug flag
 debug = False
 
+__repo_dir__ = os.path.normpath(
+    os.path.join(os.path.realpath(__file__), '..', '..'))
+
 
 # Markdown code blob we should use to insert into notebook files
 def getipynb_markdownBlockAsList():
@@ -222,14 +225,15 @@ def getDelimiter(filename):
 
 def main():
 
-    message = open('LICENSE').read()
+    message = open(os.path.join(__repo_dir__, 'LICENSE')).read()
 
     #Get a list of all the files in our git repo
     #bashCommand = "git ls-files --exclude-standard"
     #print (bashCommand.split())
     proc = subprocess.run("git ls-files --exclude-standard",
                           shell=True,
-                          stdout=subprocess.PIPE)
+                          stdout=subprocess.PIPE,
+                          cwd=__repo_dir__)
     fileList = proc.stdout.decode().split('\n')
     message = message.split('\n')
 
@@ -237,7 +241,8 @@ def main():
         print("Target file list:\n" + str(fileList))
         print("Output Message:\n" + str(message))
 
-    for file in fileList:
+    for rfile in fileList:
+        file = os.path.join(__repo_dir__, rfile)
         #print(file)
         commentDelim = getDelimiter(file)
         if commentDelim is not None:

tools/te.py

@@ -23,7 +23,9 @@
 #####################################################################################
 import string, sys, re
 
-trivial = ['std::size_t', 'instruction_ref', 'support_metric']
+trivial = [
+    'std::size_t', 'instruction_ref', 'support_metric', 'const_module_ref'
+]
 
 headers = '''
 #include <algorithm>
@@ -134,7 +136,7 @@ private:
         template <typename PrivateDetailTypeErasedU = PrivateDetailTypeErasedT>
         private_detail_te_handle_type (PrivateDetailTypeErasedT value,
                 typename std::enable_if<
-                    !std::is_reference<PrivateDetailTypeErasedU>::value,
+                    not std::is_reference<PrivateDetailTypeErasedU>::value,
                     int
                 >::type * = nullptr) noexcept :
             private_detail_te_value (std::move(value))
@@ -176,7 +178,7 @@ private:
     private_detail_te_handle_base_type & private_detail_te_get_handle ()
     {
         assert(private_detail_te_handle_mem_var != nullptr); 
-        if (!private_detail_te_handle_mem_var.unique())
+        if (not private_detail_te_handle_mem_var.unique())
             private_detail_te_handle_mem_var = private_detail_te_handle_mem_var->clone();
         return *private_detail_te_handle_mem_var;
     }