mirror of
https://github.com/NVIDIA/nvbench.git
synced 2026-04-20 06:48:53 +00:00
Implement/test mutable int64_axis.
This commit is contained in:
@@ -40,8 +40,8 @@ void axes_metadata::add_int64_axis(std::string name,
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std::vector<nvbench::int64_t> data,
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nvbench::int64_axis_flags flags)
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{
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auto axis = std::make_unique<nvbench::int64_axis>(std::move(name), flags);
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axis->set_inputs(std::move(data));
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auto axis = std::make_unique<nvbench::int64_axis>(std::move(name));
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axis->set_inputs(std::move(data), flags);
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m_axes.push_back(std::move(axis));
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}
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@@ -11,9 +11,11 @@ namespace nvbench
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int64_axis::~int64_axis() = default;
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void int64_axis::set_inputs(std::vector<int64_t> inputs)
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void int64_axis::set_inputs(std::vector<int64_t> inputs, int64_axis_flags flags)
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{
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m_inputs = std::move(inputs);
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m_flags = flags;
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if (!this->is_power_of_two())
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{
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m_values = m_inputs;
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@@ -26,11 +26,11 @@ namespace nvbench
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struct int64_axis final : public axis_base
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{
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int64_axis(std::string name, int64_axis_flags flags = int64_axis_flags::none)
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explicit int64_axis(std::string name)
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: axis_base{std::move(name), axis_type::int64}
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, m_inputs{}
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, m_values{}
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, m_flags{flags}
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, m_flags{int64_axis_flags::none}
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{}
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~int64_axis() final;
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@@ -40,34 +40,36 @@ struct int64_axis final : public axis_base
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return static_cast<bool>(m_flags & int64_axis_flags::power_of_two);
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}
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void set_inputs(std::vector<int64_t> inputs);
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void set_inputs(std::vector<int64_t> inputs,
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int64_axis_flags flags = int64_axis_flags::none);
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[[nodiscard]] const std::vector<int64_t> &get_inputs() const
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{
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return m_inputs;
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};
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[[nodiscard]] int64_t get_value(std::size_t i) const
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{
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return m_values[i];
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};
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[[nodiscard]] int64_t get_value(std::size_t i) const { return m_values[i]; };
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[[nodiscard]] const std::vector<int64_t> &get_values() const
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{
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return m_values;
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};
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int64_axis_flags get_flags() const { return m_flags; }
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// Helper functions for pow2 conversions:
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static nvbench::int64_t compute_pow2(nvbench::int64_t exponent)
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{
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return 1ll << exponent;
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}
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// UB if value < 0.
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static nvbench::int64_t compute_log2(nvbench::int64_t value)
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{
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// TODO use <bit> functions in C++20
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nvbench::uint64_t bits = static_cast<nvbench::uint64_t>(value);
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// TODO use <bit> functions in C++20?
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nvbench::uint64_t bits = static_cast<nvbench::int64_t>(value);
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nvbench::int64_t exponent = 0;
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while (bits >>= 1)
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while ((bits >>= 1) != 0ull)
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{
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++exponent;
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}
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@@ -68,8 +68,9 @@ void test_basic()
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void test_power_of_two()
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{
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nvbench::int64_axis axis{"POTAxis", nvbench::int64_axis_flags::power_of_two};
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axis.set_inputs({0, 1, 2, 3, 7, 6, 5, 4});
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nvbench::int64_axis axis{"POTAxis"};
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axis.set_inputs({0, 1, 2, 3, 7, 6, 5, 4},
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nvbench::int64_axis_flags::power_of_two);
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const std::vector<nvbench::int64_t> ref_inputs{0, 1, 2, 3, 7, 6, 5, 4};
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const std::vector<nvbench::int64_t> ref_values{1, 2, 4, 8, 128, 64, 32, 16};
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@@ -108,11 +109,262 @@ void test_power_of_two()
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}
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}
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void test_update_none_to_none()
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{
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nvbench::int64_axis axis{"TestAxis"};
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const std::vector<nvbench::int64_t> ref{0, 1, 2, 3, 7, 6, 5, 4};
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axis.set_inputs(ref);
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{ // Update a clone with empty values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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clone->set_inputs({});
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(!clone->is_power_of_two());
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ASSERT(clone->get_size() == 0);
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ASSERT(clone->get_inputs().empty());
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ASSERT(clone->get_values().empty());
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}
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{ // Update a clone with new values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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const std::vector<nvbench::int64_t> update_ref{2, 5, 7, 9};
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clone->set_inputs(update_ref);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(!clone->is_power_of_two());
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ASSERT(clone->get_size() == 4);
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ASSERT(clone->get_inputs() == update_ref);
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ASSERT(clone->get_values() == update_ref);
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for (size_t i = 0; i < update_ref.size(); ++i)
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{
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ASSERT(clone->get_input_string(i) == fmt::to_string(update_ref[i]));
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ASSERT(clone->get_description(i).empty());
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}
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}
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// Check that the original axis is unchanged:
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ASSERT(axis.get_name() == "TestAxis");
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ASSERT(axis.get_type() == nvbench::axis_type::int64);
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ASSERT(!axis.is_power_of_two());
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ASSERT(axis.get_size() == 8);
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ASSERT(axis.get_inputs() == ref);
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ASSERT(axis.get_values() == ref);
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for (size_t i = 0; i < 8; ++i)
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{
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ASSERT(axis.get_input_string(i) == fmt::to_string(ref[i]));
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ASSERT(axis.get_description(i).empty());
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}
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}
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void test_update_none_to_pow2()
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{
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nvbench::int64_axis axis{"TestAxis"};
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const std::vector<nvbench::int64_t> ref{0, 1, 2, 3, 7, 6, 5, 4};
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axis.set_inputs(ref);
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{ // Update a clone with empty values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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clone->set_inputs({}, nvbench::int64_axis_flags::power_of_two);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(clone->is_power_of_two());
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ASSERT(clone->get_size() == 0);
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ASSERT(clone->get_inputs().empty());
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ASSERT(clone->get_values().empty());
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}
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{ // Update a clone with new values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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const std::vector<nvbench::int64_t> update_inputs{2, 5, 7, 9};
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const std::vector<nvbench::int64_t> update_values{4, 32, 128, 512};
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clone->set_inputs(update_inputs, nvbench::int64_axis_flags::power_of_two);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(clone->is_power_of_two());
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ASSERT(clone->get_size() == 4);
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ASSERT(clone->get_inputs() == update_inputs);
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ASSERT(clone->get_values() == update_values);
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for (size_t i = 0; i < update_inputs.size(); ++i)
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{
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ASSERT(clone->get_input_string(i) == fmt::to_string(update_inputs[i]));
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ASSERT(clone->get_description(i) ==
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fmt::format("2^{} = {}", update_inputs[i], update_values[i]));
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}
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}
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// Check that the original axis is unchanged:
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ASSERT(axis.get_name() == "TestAxis");
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ASSERT(axis.get_type() == nvbench::axis_type::int64);
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ASSERT(!axis.is_power_of_two());
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ASSERT(axis.get_size() == 8);
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ASSERT(axis.get_inputs() == ref);
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ASSERT(axis.get_values() == ref);
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for (size_t i = 0; i < 8; ++i)
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{
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ASSERT(axis.get_input_string(i) == fmt::to_string(ref[i]));
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ASSERT(axis.get_description(i).empty());
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}
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}
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void test_update_pow2_to_none()
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{
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nvbench::int64_axis axis{"TestAxis"};
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axis.set_inputs({0, 1, 2, 3, 7, 6, 5, 4},
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nvbench::int64_axis_flags::power_of_two);
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const std::vector<nvbench::int64_t> ref_inputs{0, 1, 2, 3, 7, 6, 5, 4};
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const std::vector<nvbench::int64_t> ref_values{1, 2, 4, 8, 128, 64, 32, 16};
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{ // Update a clone with empty values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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clone->set_inputs({});
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(!clone->is_power_of_two());
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ASSERT(clone->get_size() == 0);
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ASSERT(clone->get_inputs().empty());
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ASSERT(clone->get_values().empty());
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}
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{ // Update a clone with new values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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const std::vector<nvbench::int64_t> update_ref{2, 5, 7, 9};
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clone->set_inputs(update_ref);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(!clone->is_power_of_two());
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ASSERT(clone->get_size() == 4);
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ASSERT(clone->get_inputs() == update_ref);
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ASSERT(clone->get_values() == update_ref);
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for (size_t i = 0; i < update_ref.size(); ++i)
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{
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ASSERT(clone->get_input_string(i) == fmt::to_string(update_ref[i]));
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ASSERT(clone->get_description(i).empty());
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}
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}
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// Check that the original axis is unchanged:
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ASSERT(axis.get_name() == "TestAxis");
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ASSERT(axis.get_type() == nvbench::axis_type::int64);
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ASSERT(axis.is_power_of_two());
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ASSERT(axis.get_size() == 8);
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ASSERT(axis.get_inputs() == ref_inputs);
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ASSERT(axis.get_values() == ref_values);
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for (size_t i = 0; i < 8; ++i)
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{
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ASSERT(axis.get_input_string(i) == fmt::to_string(ref_inputs[i]));
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ASSERT(axis.get_description(i) ==
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fmt::format("2^{} = {}", ref_inputs[i], ref_values[i]));
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}
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}
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void test_update_pow2_to_pow2()
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{
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nvbench::int64_axis axis{"TestAxis"};
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axis.set_inputs({0, 1, 2, 3, 7, 6, 5, 4},
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nvbench::int64_axis_flags::power_of_two);
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const std::vector<nvbench::int64_t> ref_inputs{0, 1, 2, 3, 7, 6, 5, 4};
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const std::vector<nvbench::int64_t> ref_values{1, 2, 4, 8, 128, 64, 32, 16};
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{ // Update a clone with empty values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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clone->set_inputs({}, nvbench::int64_axis_flags::power_of_two);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(clone->is_power_of_two());
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ASSERT(clone->get_size() == 0);
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ASSERT(clone->get_inputs().empty());
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ASSERT(clone->get_values().empty());
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}
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{ // Update a clone with new values
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auto clone_base = axis.clone();
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ASSERT(clone_base.get() != nullptr);
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auto *clone = dynamic_cast<nvbench::int64_axis *>(clone_base.get());
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ASSERT(clone != nullptr);
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const std::vector<nvbench::int64_t> update_inputs{2, 5, 7, 9};
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const std::vector<nvbench::int64_t> update_values{4, 32, 128, 512};
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clone->set_inputs(update_inputs, nvbench::int64_axis_flags::power_of_two);
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ASSERT(clone->get_name() == "TestAxis");
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ASSERT(clone->get_type() == nvbench::axis_type::int64);
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ASSERT(clone->is_power_of_two());
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ASSERT(clone->get_size() == 4);
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ASSERT(clone->get_inputs() == update_inputs);
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ASSERT(clone->get_values() == update_values);
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for (size_t i = 0; i < update_inputs.size(); ++i)
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{
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ASSERT(clone->get_input_string(i) == fmt::to_string(update_inputs[i]));
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ASSERT(clone->get_description(i) ==
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fmt::format("2^{} = {}", update_inputs[i], update_values[i]));
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}
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}
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// Check that the original axis is unchanged:
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ASSERT(axis.get_name() == "TestAxis");
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ASSERT(axis.get_type() == nvbench::axis_type::int64);
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ASSERT(axis.is_power_of_two());
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ASSERT(axis.get_size() == 8);
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ASSERT(axis.get_inputs() == ref_inputs);
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ASSERT(axis.get_values() == ref_values);
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for (size_t i = 0; i < 8; ++i)
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{
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ASSERT(axis.get_input_string(i) == fmt::to_string(ref_inputs[i]));
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ASSERT(axis.get_description(i) ==
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fmt::format("2^{} = {}", ref_inputs[i], ref_values[i]));
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}
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}
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int main()
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{
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test_empty();
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test_basic();
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test_power_of_two();
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test_update_none_to_none();
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test_update_none_to_pow2();
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test_update_pow2_to_none();
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test_update_pow2_to_pow2();
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return EXIT_SUCCESS;
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}
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