Rename tie_axes to zip_axes

docs/benchmarks.md

@@ -260,7 +260,8 @@ using output_types = nvbench::type_list<float, double>;
 NVBENCH_BENCH_TYPES(benchmark, NVBENCH_TYPE_AXES(input_types, output_types))
   .set_type_axes_names({"InputType", "OutputType"})
   .add_int64_axis("NumInputs", {1000, 10000, 100000, 200000, 200000, 200000})
-  .add_float64_axis("Quality", {0.05, 0.1, 0.25, 0.5, 0.75, 1.});
+  .add_float64_axis("Quality", {0.05, 0.1, 0.25, 0.5, 0.75, 1.})
+  .zip_axes({"NumInputs", "Quality"});
 ```
 
 This tieing reduces the total combinations from 24 to 6, reducing the

examples/custom_iteration_spaces.cu

@@ -74,7 +74,7 @@ NVBENCH_BENCH(tied_copy_sweep_grid_shape)
   // Every power of two from  64->1024:
   .add_int64_axis("BlockSize", {32,64,128,256})
   .add_int64_axis("NumBlocks", {1024,512,256,128})
-  .tie_axes({"BlockSize", "NumBlocks"});
+  .zip_axes({"BlockSize", "NumBlocks"});
 
 //==============================================================================
 // under_diag:

nvbench/axes_metadata.cuh

@@ -62,7 +62,7 @@ struct axes_metadata
 
   void add_string_axis(std::string name, std::vector<std::string> data);
 
-  void tie_axes(std::vector<std::string> names);
+  void zip_axes(std::vector<std::string> names);
 
   void
   user_iteration_axes(std::vector<std::string> names,

nvbench/axes_metadata.cxx

@@ -238,12 +238,12 @@ void reset_iteration_space(
 }
 } // namespace
 
-void axes_metadata::tie_axes(std::vector<std::string> names)
+void axes_metadata::zip_axes(std::vector<std::string> names)
 {
   NVBENCH_THROW_IF((names.size() < 2),
                    std::runtime_error,
                    "At least two axi names ( {} provided ) need to be provided "
-                   "when using tie_axes.",
+                   "when using zip_axes.",
                    names.size());
 
   // compute the numeric indice for each name we have
@@ -269,7 +269,7 @@ void axes_metadata::tie_axes(std::vector<std::string> names)
   reset_iteration_space(m_value_space, input_indices);
 
   // add the new tied iteration space
-  auto tied = std::make_unique<tie_axis_space>(std::move(input_indices),
+  auto tied = std::make_unique<zip_axis_space>(std::move(input_indices),
                                                std::move(output_indices));
   m_value_space.push_back(std::move(tied));
 }

nvbench/axis_iteration_space.cuh

@@ -67,11 +67,11 @@ struct linear_axis_space final : axis_space_base
   std::size_t do_valid_count(const axes_info &info) const override;
 };
 
-struct tie_axis_space final : axis_space_base
+struct zip_axis_space final : axis_space_base
 {
-  tie_axis_space(std::vector<std::size_t> input_indices,
+  zip_axis_space(std::vector<std::size_t> input_indices,
       std::vector<std::size_t> output_indices);
-  ~tie_axis_space();
+  ~zip_axis_space();
 
   std::unique_ptr<axis_space_base> do_clone() const override;
   detail::axis_space_iterator do_iter(axes_info info) const override;

nvbench/axis_iteration_space.cxx

@@ -127,14 +127,14 @@ std::unique_ptr<axis_space_base> linear_axis_space::do_clone() const
   return std::make_unique<linear_axis_space>(*this);
 }
 
-tie_axis_space::tie_axis_space(std::vector<std::size_t> input_indices,
+zip_axis_space::zip_axis_space(std::vector<std::size_t> input_indices,
                                std::vector<std::size_t> output_indices)
     : axis_space_base(std::move(input_indices), std::move(output_indices))
 {}
 
-tie_axis_space::~tie_axis_space() = default;
+zip_axis_space::~zip_axis_space() = default;
 
-detail::axis_space_iterator tie_axis_space::do_iter(axes_info info) const
+detail::axis_space_iterator zip_axis_space::do_iter(axes_info info) const
 {
   std::vector<std::size_t> locs = m_output_indices;
   auto update_func              = [=](std::size_t inc_index,
@@ -150,19 +150,19 @@ detail::axis_space_iterator tie_axis_space::do_iter(axes_info info) const
   return detail::make_space_iterator(locs.size(), info[0].size, update_func);
 }
 
-std::size_t tie_axis_space::do_size(const axes_info &info) const
+std::size_t zip_axis_space::do_size(const axes_info &info) const
 {
   return info[0].size;
 }
 
-std::size_t tie_axis_space::do_valid_count(const axes_info &info) const
+std::size_t zip_axis_space::do_valid_count(const axes_info &info) const
 {
   return info[0].active_size;
 }
 
-std::unique_ptr<axis_space_base> tie_axis_space::do_clone() const
+std::unique_ptr<axis_space_base> zip_axis_space::do_clone() const
 {
-  return std::make_unique<tie_axis_space>(*this);
+  return std::make_unique<zip_axis_space>(*this);
 }
 
 user_axis_space::user_axis_space(std::vector<std::size_t> input_indices,

nvbench/benchmark_base.cuh

@@ -111,9 +111,9 @@ struct benchmark_base
     return *this;
   }
 
-  benchmark_base &tie_axes(std::vector<std::string> names)
+  benchmark_base &zip_axes(std::vector<std::string> names)
   {
-    m_axes.tie_axes(std::move(names));
+    m_axes.zip_axes(std::move(names));
     return *this;
   }
 

testing/axes_iteration_space.cu

@@ -77,13 +77,13 @@ void template_no_op_generator(nvbench::state &state,
 NVBENCH_DEFINE_CALLABLE_TEMPLATE(template_no_op_generator,
                                  template_no_op_callable);
 
-void test_tie_axes()
+void test_zip_axes()
 {
   using benchmark_type = nvbench::benchmark<no_op_callable>;
   benchmark_type bench;
   bench.add_float64_axis("F64 Axis", {0., .1, .25, .5, 1.});
   bench.add_int64_axis("I64 Axis", {1, 3, 2, 4, 5});
-  bench.tie_axes({"F64 Axis", "I64 Axis"});
+  bench.zip_axes({"F64 Axis", "I64 Axis"});
 
   ASSERT_MSG(bench.get_config_count() == 5 * bench.get_devices().size(),
              "Got {}",
@@ -97,10 +97,10 @@ void test_tie_invalid_names()
   bench.add_float64_axis("F64 Axis", {0., .1, .25, .5, 1.});
   bench.add_int64_axis("I64 Axis", {1, 3, 2});
 
-  ASSERT_THROWS_ANY(bench.tie_axes({"F32 Axis", "I64 Axis"}));
-  ASSERT_THROWS_ANY(bench.tie_axes({"F32 Axis"}));
-  ASSERT_THROWS_ANY(bench.tie_axes({""}));
-  ASSERT_THROWS_ANY(bench.tie_axes(std::vector<std::string>()));
+  ASSERT_THROWS_ANY(bench.zip_axes({"F32 Axis", "I64 Axis"}));
+  ASSERT_THROWS_ANY(bench.zip_axes({"F32 Axis"}));
+  ASSERT_THROWS_ANY(bench.zip_axes({""}));
+  ASSERT_THROWS_ANY(bench.zip_axes(std::vector<std::string>()));
 }
 
 void test_tie_unequal_length()
@@ -110,8 +110,8 @@ void test_tie_unequal_length()
   bench.add_float64_axis("F64 Axis", {0., .1, .25, .5, 1.});
   bench.add_int64_axis("I64 Axis", {1, 3, 2});
 
-  bench.tie_axes({"I64 Axis", "F64 Axis"});
-  ASSERT_THROWS_ANY(bench.tie_axes({"F64 Axis", "I64 Axis"}));
+  bench.zip_axes({"I64 Axis", "F64 Axis"});
+  ASSERT_THROWS_ANY(bench.zip_axes({"F64 Axis", "I64 Axis"}));
 }
 
 void test_tie_type_axi()
@@ -126,10 +126,10 @@ void test_tie_type_axi()
   bench.add_float64_axis("F64 Axis", {0., .1, .25, .5, 1.});
   bench.add_int64_axis("I64 Axis", {1, 3, 2});
 
-  ASSERT_THROWS_ANY(bench.tie_axes({"F64 Axis", "Float"}));
+  ASSERT_THROWS_ANY(bench.zip_axes({"F64 Axis", "Float"}));
 }
 
-void test_retie_axes()
+void test_rezip_axes()
 {
   using benchmark_type = nvbench::benchmark<no_op_callable>;
   benchmark_type bench;
@@ -142,20 +142,20 @@ void test_retie_axes()
                            .1,
                          });
 
-  bench.tie_axes({"FAxis_5", "IAxis_A"});
-  bench.tie_axes({"IAxis_B", "FAxis_5", "IAxis_A"}); // re-tie
+  bench.zip_axes({"FAxis_5", "IAxis_A"});
+  bench.zip_axes({"IAxis_B", "FAxis_5", "IAxis_A"}); // re-tie
 
   ASSERT_MSG(bench.get_config_count() == 10 * bench.get_devices().size(),
              "Got {}",
              bench.get_config_count());
 
-  bench.tie_axes({"FAxis_5", "IAxis_A"});
+  bench.zip_axes({"FAxis_5", "IAxis_A"});
   ASSERT_MSG(bench.get_config_count() == 50 * bench.get_devices().size(),
              "Got {}",
              bench.get_config_count());
 }
 
-void test_retie_axes2()
+void test_rezip_axes2()
 {
   using benchmark_type = nvbench::benchmark<no_op_callable>;
   benchmark_type bench;
@@ -170,17 +170,17 @@ void test_retie_axes2()
                            .1,
                          });
 
-  bench.tie_axes({"IAxis_A", "IAxis_B", "IAxis_C"});
-  bench.tie_axes({"FAxis_1", "FAxis_2"});
-  bench.tie_axes(
+  bench.zip_axes({"IAxis_A", "IAxis_B", "IAxis_C"});
+  bench.zip_axes({"FAxis_1", "FAxis_2"});
+  bench.zip_axes(
     {"IAxis_A", "IAxis_B", "IAxis_C", "FAxis_1", "FAxis_2"}); // re-tie
 
   ASSERT_MSG(bench.get_config_count() == 10 * bench.get_devices().size(),
              "Got {}",
              bench.get_config_count());
 
-  bench.tie_axes({"IAxis_A", "IAxis_B", "IAxis_C"});
-  bench.tie_axes({"FAxis_1", "FAxis_2"});
+  bench.zip_axes({"IAxis_A", "IAxis_B", "IAxis_C"});
+  bench.zip_axes({"FAxis_1", "FAxis_2"});
   ASSERT_MSG(bench.get_config_count() == 50 * bench.get_devices().size(),
              "Got {}",
              bench.get_config_count());
@@ -195,7 +195,7 @@ void test_tie_clone()
   bench.add_int64_power_of_two_axis("I64 POT Axis", {10, 20});
   bench.add_int64_axis("I64 Axis", {10, 20});
   bench.add_float64_axis("F64 Axis", {0., .1, .25});
-  bench.tie_axes({"F64 Axis", "Strings"});
+  bench.zip_axes({"F64 Axis", "Strings"});
 
   const auto expected_count = bench.get_config_count();
 
@@ -316,11 +316,11 @@ void test_user_axes()
 
 int main()
 {
-  test_tie_axes();
+  test_zip_axes();
   test_tie_invalid_names();
   test_tie_unequal_length();
   test_tie_type_axi();
-  test_retie_axes();
-  test_retie_axes2();
+  test_rezip_axes();
+  test_rezip_axes2();
   test_tie_clone();
 }