Fix test case for min & max operators (#1305)

Fix min_test.onnx generation as well as add a proper check to the parse program vs the expect program.
Adding this in to fix test converge for the min case.

test/onnx/gen_onnx.py

@@ -3086,7 +3086,7 @@ def max_test():
     a = helper.make_tensor_value_info('0', TensorProto.FLOAT, [3])
     b = helper.make_tensor_value_info('1', TensorProto.FLOAT, [3])
     c = helper.make_tensor_value_info('2', TensorProto.FLOAT, [3])
-    y = helper.make_tensor_value_info('2', TensorProto.FLOAT, [3])
+    y = helper.make_tensor_value_info('3', TensorProto.FLOAT, [3])
 
     node = onnx.helper.make_node(
         'Max',
@@ -3220,7 +3220,7 @@ def min_test():
     a = helper.make_tensor_value_info('0', TensorProto.FLOAT, [3])
     b = helper.make_tensor_value_info('1', TensorProto.FLOAT, [3])
     c = helper.make_tensor_value_info('2', TensorProto.FLOAT, [3])
-    y = helper.make_tensor_value_info('2', TensorProto.FLOAT, [3])
+    y = helper.make_tensor_value_info('3', TensorProto.FLOAT, [3])
 
     node = onnx.helper.make_node(
         'Min',

test/onnx/max_test.onnx

-max-example:e
+max_test:a
 
 
0
 
1
-
2
3"Maxtest-dropoutZ
+
2
3"Maxmax_testZ
 
0
 
 

@@ -15,7 +15,7 @@
 
 

 b
-
2
+
3
 
 

-B
\ No newline at end of file
+B
\ No newline at end of file

test/onnx/min_test.onnx

-min-example:e
+min_test:a
 
 
0
 
1
-
2
3"Mintest-dropoutZ
+
2
3"Minmin_testZ
 
0
 
 

@@ -15,7 +15,7 @@
 
 

 b
-
2
+
3
 
 

-B
\ No newline at end of file
+B
\ No newline at end of file

test/onnx/onnx_test.cpp

@@ -2832,7 +2832,9 @@ TEST_CASE(max_test)
     auto l0     = mm->add_instruction(migraphx::make_op("max"), input0, input1);
     mm->add_instruction(migraphx::make_op("max"), l0, input2);
 
-    optimize_onnx("max_test.onnx");
+    auto prog = optimize_onnx("max_test.onnx");
+
+    EXPECT(p == prog);
 }
 
 TEST_CASE(maxpool_notset_test)
@@ -2947,7 +2949,9 @@ TEST_CASE(min_test)
     auto l0     = mm->add_instruction(migraphx::make_op("min"), input0, input1);
     mm->add_instruction(migraphx::make_op("min"), l0, input2);
 
-    optimize_onnx("min_test.onnx");
+    auto prog = optimize_onnx("min_test.onnx");
+
+    EXPECT(p == prog);
 }
 
 TEST_CASE(multinomial_test)