Added new random_seed op and some tests. New ref_ops_test...

Added new random_seed op and some tests.  New ref_ops_test rand_uniform_and_seed_test tests random_seed and rand_uniform together as a set.

src/CMakeLists.txt

@@ -184,6 +184,7 @@ register_migraphx_ops(
     quant_dot
     quantizelinear
     rand_uniform
+    random_seed
     recip
     reduce_max
     reduce_mean

src/include/migraphx/op/rand_uniform.hpp

@@ -92,17 +92,9 @@ struct rand_uniform
         argument result{dyn_out.computed_shape};
 
         auto local_seed(seed);
-        if(use_auto_seed)
-            local_seed = std::chrono::system_clock::now().time_since_epoch().count();
-        else
+        if(args.size() > 1)
         {
-            if(args.size() > 1)
-            {
-                if(args.at(1).get_shape().element_space() > 0)
-                {
-                    visit_all(args[1])([&](auto data) { local_seed = data[0]; });
-                }
-            }
+            local_seed = args[1].at<uint32_t>(0);
         }
         // If a seed argument was not defined, use the value from the seed attribute,
         // or the default.

src/include/migraphx/op/random_seed.hpp

+/*
+ * The MIT License (MIT)
+ *
+ * Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ */
+
+#ifndef MIGRAPHX_GUARD_OPERATORS_RANDOM_SEED_HPP
+#define MIGRAPHX_GUARD_OPERATORS_RANDOM_SEED_HPP
+
+#include <migraphx/check_shapes.hpp>
+#include <migraphx/argument.hpp>
+#include <migraphx/par_for.hpp>
+#include <migraphx/reflect.hpp>
+#include <random>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+namespace op {
+
+/**
+ *    Generates a random seed for the use of random number generators.  Generating the seed 
+ * at runtime guarantees there will be a different random sequence on every execution.
+ * This operation has no inputs or attributes, and outputs an unsigned integer tensor with 
+ * a single value.
+*/
+struct random_seed
+{
+    shape::type_t dtype = shape::type_t::uint32_type;
+
+    template <class Self, class F>
+    static auto reflect(Self& self, F f)
+    {
+        return pack(
+            f(self.dtype, "dtype"));
+    }
+
+    std::string name() const { return "random_seed"; }
+    shape compute_shape(std::vector<shape> inputs) const
+    {
+            (void) inputs;
+            return migraphx::shape(dtype, {1});
+    }
+
+    argument compute(const shape& output_shape, std::vector<argument> args) const
+    {
+        (void) args;
+        argument result(output_shape);
+
+        result.visit([&](auto output) {
+            std::generate(output.begin(), output.end(), [&]() { return uint32_t(std::chrono::system_clock::now().time_since_epoch().count()); });
+        });
+        return result;
+
+    }
+};
+
+} // namespace op
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx
+
+#endif

test/op_shape_test.cpp

@@ -2232,6 +2232,12 @@ TEST_CASE(rand_uniform_2args)
     expect_shape(s1, migraphx::make_op("rand_uniform", {{"seed", 1}}), s1, s2);
 }
 
+TEST_CASE(random_seed)
+{
+    migraphx::shape s{migraphx::shape::uint32_type, {1}};
+    expect_shape(s, migraphx::make_op("random_seed"));
+}
+
 TEST_CASE(quant_convolution_shape)
 {
     migraphx::shape output{migraphx::shape::int32_type, {4, 4, 1, 1}};

test/ref_ops_test.cpp

@@ -6542,6 +6542,60 @@ TEST_CASE(rand_uniform_dyn_test)
     EXPECT(migraphx::verify::verify_range(result_vec, rand_samples, 100000));
 }
 
+
+TEST_CASE(rand_uniform_and_seed_test)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+
+    size_t sample_size(20000);
+
+    //      Shape of the random data
+    migraphx::shape rs{migraphx::shape::float_type, {{1, 2}, {2, sample_size + 1}}};
+    auto input = mm->add_parameter("Input_1", rs);
+
+    // Runtime randomization seed
+    auto seed_input = mm->add_instruction(migraphx::make_op("random_seed"));
+    mm->add_instruction(migraphx::make_op("rand_uniform"),
+                        input,
+                        seed_input);
+    p.compile(migraphx::make_target("ref"));
+
+    // Create a dummy input to hold the random data
+    migraphx::shape input_fixed_shape1{migraphx::shape::float_type, {sample_size}};
+
+    migraphx::parameter_map params0;
+    params0["Input_1"] = migraphx::argument(input_fixed_shape1);
+    auto result                     = p.eval(params0).back();
+
+    std::vector<float> result_vec(sample_size);
+    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
+
+    // Compare result with the STL's mt19937 generator.  Expected verify_range error ~0.4
+    std::mt19937 gen(0);
+    std::uniform_real_distribution<> dis(0.0, 1.0);
+    std::vector<float> rand_samples(sample_size);
+    std::generate(rand_samples.begin(), rand_samples.end(), [&]() { return dis(gen); });
+    EXPECT(migraphx::verify::verify_range(result_vec, rand_samples, 1.e8));
+}
+
+TEST_CASE(random_seed_test)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+    mm->add_instruction(migraphx::make_op("random_seed"));
+
+    p.compile(migraphx::make_target("ref"));
+    auto result = p.eval({}).back();
+    std::vector<uint32_t> result_vec1(1);
+    result.visit([&](auto output) { result_vec1.assign(output.begin(), output.end()); });
+    std::vector<uint64_t> result_vec2(1);
+
+    result = p.eval({}).back();
+    result.visit([&](auto output) { result_vec2.assign(output.begin(), output.end()); });
+    EXPECT(result_vec1[0] != result_vec2[0]);
+}
+
 TEST_CASE(recip_test)
 {
     migraphx::program p;