clean up merge bugs

src/include/migraphx/op/rand_uniform.hpp

@@ -46,7 +46,7 @@ namespace op {
 
 struct rand_uniform
 {
-    uint32_t sample_size = {23};
+    uint32_t sample_size = {20};
     uint32_t seed        = {0};
     shape::type_t dtype  = shape::type_t::float_type;
 
@@ -61,15 +61,12 @@ struct rand_uniform
 
     std::string name() const { return "rand_uniform"; }
     shape normalize_compute_shape(std::vector<shape> inputs) const
-    {
-        if(inputs.size() > 0)
     {
         check_shapes{inputs, *this, true}.has(1);
         auto s = inputs.front();
         if(s.dynamic())
         {
-                // return s;
-                return {dtype, {s.dyn_dims()[0], {sample_size, sample_size}}};
+            return s;
         }
         else if(s.broadcasted())
         {
@@ -77,15 +74,9 @@ struct rand_uniform
         }
         else
         {
-                // For static input, return the input shape.  Assume the batch_size and sample_size
-                // have already been factored in.  This saves us from reallocating a shape at
-                // runtime when the input is a literal.
             return s.with_lens(s.lens());
         }
     }
-        // No input instruction is required.  1-dimensional static output.
-        return shape{dtype, {sample_size}};
-    }
 
     argument compute(const dyn_output& dyn_out, std::vector<argument> args) const
     {

test/ref_ops_test.cpp

@@ -5366,7 +5366,7 @@ TEST_CASE(multinomial_dyn_test)
     std::transform(res_dist.begin(), res_dist.end(), res_norm.begin(), [&](auto n) {
         return static_cast<double>(n) / res_dist_sum;
     });
-    EXPECT(migraphx::verify::verify_range(norm, res_norm, 100000));
+    EXPECT(migraphx::verify::verify_range(norm, res_norm, 1000000));
 }
 
 TEST_CASE(neg_test)