dynamic check runtime backend (#41)

Makefile

@@ -1,5 +1,5 @@
 COMPUTE_V1 ?= - einstein_v2("output0[N] = input0[N] + input1[N]", input_dict={"input0": {"dtype": "float32", "shape": [1024 * 512]}, "input1": {"dtype": "float32", "shape": [1024 * 512]}})
-BACKEND ?= c-rocm
+BACKEND ?=
 TUNER ?=
 STEP ?= 0
 CONFIG ?=

antares/antares_compiler.py

@@ -82,7 +82,18 @@ def translate_code(code):
   return '%s\n%s%s' % (get_kernel_metadata(), defs, code)
 
 def device_properties():
-  return tvm.runtime.ndarray.gpu(0)
+  props = tvm.runtime.ndarray.gpu(0)
+  with open('%s/device_properties.cfg' % os.environ['ANTARES_DRIVER_PATH'], 'r') as fp:
+    mem_bandwith = 2.5e-7
+    while True:
+      line = fp.readline()
+      if not line:
+        break
+      key, val = line.split(': ')
+      if key in ('GlobalMemoryBusWidth', 'MemoryClockRate'):
+        mem_bandwith *= float(val)
+      props.mem_bandwith = mem_bandwith
+  return props
 
 def compile_source(code):
   if 'HTTP_SERVICE' in os.environ:

antares/run.sh

@@ -9,6 +9,16 @@ fi
 
 # Valid Backends: c-cuda, c-rocm, c-mcpu, c-hlsl, c-gc
 
+if [[ "$BACKEND" == "" ]]; then
+  if [ -e /dev/nvidia-modeset ]; then
+    BACKEND=c-cuda
+  elif [ -e /dev/kfd ]; then
+    BACKEND=c-rocm
+  elif grep Microsoft /proc/sys/kernel/osrelease >/dev/null; then
+    BACKEND=c-hlsl
+  fi
+fi
+
 export BACKEND=${BACKEND:-c-rocm}
 export ANTARES_DRIVER_PATH=/tmp/libAntares
 

engine/cuda_properties.cc

@@ -14,6 +14,7 @@
 #include <hip/hip_runtime.h>
 #define Q(attr_key) ((0 == hipDeviceGetAttribute(&val, hipDeviceAttribute ## attr_key, 0)) ? printf("%s: %d\n", #attr_key, val) : (exit(1), 0))
 #define hipDeviceAttributeMultiProcessorCount hipDeviceAttributeMultiprocessorCount
+#define hipDeviceAttributeGlobalMemoryBusWidth hipDeviceAttributeMemoryBusWidth
 #define CHECK_ENV() assert(getenv("BACKEND") != NULL), assert(strcmp(getenv("BACKEND"), "c-rocm") == 0);
 #endif
 
@@ -31,5 +32,7 @@ int main() {
 	Q(MaxBlockDimX);
 	Q(MaxBlockDimY);
 	Q(MaxBlockDimZ);
+	Q(GlobalMemoryBusWidth);
+	Q(MemoryClockRate);
 	return 0;
 }

lang/auto_shard.py

@@ -79,7 +79,6 @@ def scan_items(root, ast, range_book):
   tensor_name = root._value['tensor']._value['name']
   current_range = []
   for i, sub in enumerate(root._value['index']):
-    tensor_index = i
     index_range = infer_range(sub, ax_rank)
     if index_range == '*':
       index_range = [0, None, 0, ast['props']['data_axes'][i]['range'] - 1]
@@ -94,7 +93,7 @@ def scan_items(root, ast, range_book):
         current_range[i] = [0, None, 0, ast['props']['data_axes'][i]['range'] - 1]
   range_book[tensor_name] = current_range
 
-def auto_shard_on_ast(ast):
+def compute(ast):
   if backend not in ['c-gc']:
     return
 

lang/einstein_v2.py

@@ -409,8 +409,18 @@ def emit_tvm_ir(exprss, input_dict):
   arg_props['_out'].sort(key=lambda x: x['name'])
   os.environ['GLOBAL_ARG_PROPS'] = json.dumps(arg_props)
 
-  from lang.auto_shard import auto_shard_on_ast
-  auto_shard_on_ast(ast)
+  try: 
+    from lang import auto_shard
+    auto_shard.compute(ast)
+  except:
+    pass
+
+  try:
+    from lang import simplify
+    simplify.compute(ast)
+  except:
+    pass
+
   bias_axis_body = ''
 
   def emit_input_body(input_dict):

platforms/c-rocm/evaluator/run_graph.cpp

@@ -113,7 +113,7 @@ std::pair<void *, void *> create_tensor_memory(const tensor_property &tp) {
 int main(int argc, char** argv)
 {
     if (0 != cudaSetDevice(0))
-        throw std::runtime_error("GPU device not found.");
+        throw std::runtime_error("GPU device `" + std::string(getenv("BACKEND")) + "` is not found.");
 
     std::ifstream t("my_kernel.cc");
     std::string source((std::istreambuf_iterator<char>(t)), std::istreambuf_iterator<char>());