Commit 91c9a1bf authored by Louis Feng's avatar Louis Feng

Merge branch 'master' into louisfeng/NGMX-296-conv_bias

parents 9c395596 3da0e440
......@@ -21,7 +21,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief A set of axes.
class AxisSet : public std::set<size_t>
{
......@@ -54,8 +53,4 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using AxisSet = std::set<size_t>;
#endif
}
......@@ -21,7 +21,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief A vector of axes.
class AxisVector : public std::vector<size_t>
{
......@@ -64,8 +63,4 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using AxisVector = std::vector<size_t>;
#endif
}
......@@ -24,7 +24,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief Coordinates for a tensor element
class Coordinate : public std::vector<size_t>
{
......@@ -73,10 +72,6 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using Coordinate = std::vector<size_t>;
#endif
// Removes some values from a vector of axis values
template <typename AXIS_VALUES>
......
......@@ -21,7 +21,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief A difference (signed) of tensor element coordinates.
class CoordinateDiff : public std::vector<std::ptrdiff_t>
{
......@@ -64,8 +63,4 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using CoordinateDiff = std::vector<std::ptrdiff_t>;
#endif
}
......@@ -23,8 +23,6 @@ namespace ngraph
{
class Node;
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief Zero or more nodes.
class NodeVector : public std::vector<std::shared_ptr<Node>>
{
......@@ -46,10 +44,4 @@ namespace ngraph
NodeVector() {}
};
#else
// Deprecated definitions
using NodeVector = std::vector<std::shared_ptr<Node>>;
using Nodes = NodeVector;
#endif
}
......@@ -24,8 +24,6 @@ namespace ngraph
{
class Parameter;
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief Zero or more nodes.
class ParameterVector : public std::vector<std::shared_ptr<op::Parameter>>
{
......@@ -47,11 +45,5 @@ namespace ngraph
ParameterVector() {}
};
#else
// Deprecated definitions
using ParameterVector = std::vector<std::shared_ptr<op::Parameter>>;
using Parameters = ParameterVector;
#endif
}
}
......@@ -256,6 +256,10 @@ runtime::cpu::CPU_ExternalFunction::CPU_ExternalFunction(
{
}
runtime::cpu::CPU_ExternalFunction::~CPU_ExternalFunction()
{
}
void runtime::cpu::CPU_ExternalFunction::compile()
{
if (m_is_compiled)
......@@ -263,14 +267,16 @@ void runtime::cpu::CPU_ExternalFunction::compile()
return;
}
m_mkldnn_emitter.reset(new MKLDNNEmitter(shared_from_this()));
string function_name = m_function->get_name();
m_mkldnn_emitter.reset(new MKLDNNEmitter());
ngraph::pass::Manager pass_manager;
pass_manager.register_pass<ngraph::pass::CoreFusion>();
pass_manager.register_pass<runtime::cpu::pass::CPUFusion>();
pass_manager.register_pass<runtime::cpu::pass::CPUAssignment>(shared_from_this());
pass_manager.register_pass<runtime::cpu::pass::CPULayout>(shared_from_this());
pass_manager.register_pass<runtime::cpu::pass::CPUAssignment>(this);
pass_manager.register_pass<runtime::cpu::pass::CPULayout>(this);
pass_manager.register_pass<ngraph::pass::Liveness>();
pass_manager.register_pass<ngraph::pass::MemoryLayout>(s_memory_pool_alignment);
......
......@@ -75,6 +75,7 @@ namespace ngraph
public:
CPU_ExternalFunction(const std::shared_ptr<ngraph::Function>& function,
bool release_function = true);
~CPU_ExternalFunction();
std::shared_ptr<ngraph::runtime::CallFrame> make_call_frame();
const LayoutDescriptorPtrs& get_parameter_layout_descriptors();
......
......@@ -30,7 +30,8 @@ std::shared_ptr<ngraph::runtime::Backend> runtime::cpu::CPU_Manager::allocate_ba
std::shared_ptr<ngraph::runtime::ExternalFunction>
runtime::cpu::CPU_Manager::compile(const std::shared_ptr<ngraph::Function>& fun)
{
return std::make_shared<CPU_ExternalFunction>(fun);
auto rc = std::make_shared<CPU_ExternalFunction>(fun);
return rc;
}
ngraph::runtime::Manager::Factory runtime::cpu::CPU_Manager::factory =
......
......@@ -27,18 +27,18 @@ using namespace ngraph::runtime::cpu;
const std::vector<mkldnn::primitive*>& MKLDNNEmitter::get_mkldnn_primitives() const
{
return mkldnn_primitives;
return m_mkldnn_primitives;
}
size_t MKLDNNEmitter::insert_primitive(mkldnn::primitive* primitive)
{
mkldnn_primitives.emplace_back(primitive);
return (mkldnn_primitives.size() - 1);
m_mkldnn_primitives.emplace_back(primitive);
return (m_mkldnn_primitives.size() - 1);
}
const std::vector<size_t>& MKLDNNEmitter::get_primitive_deps(size_t index) const
{
return primitive_deps.at(index);
return m_primitive_deps.at(index);
}
mkldnn::memory::desc MKLDNNEmitter::build_memory_descriptor(const TensorViewWrapper& tvw,
......@@ -98,11 +98,11 @@ size_t MKLDNNEmitter::build_convolution_forward(const mkldnn::memory::desc& inpu
mkldnn::memory::dims(padding_above.begin(), padding_above.end()),
mkldnn::padding_kind::zero},
mkldnn_utils::global_cpu_engine},
*mkldnn_primitives[input_data_index],
*mkldnn_primitives[weights_index],
*mkldnn_primitives[result_index]));
*m_mkldnn_primitives[input_data_index],
*m_mkldnn_primitives[weights_index],
*m_mkldnn_primitives[result_index]));
primitive_deps[conv_index] = {input_data_index, weights_index, result_index};
m_primitive_deps[conv_index] = {input_data_index, weights_index, result_index};
return conv_index;
}
......@@ -262,16 +262,16 @@ size_t MKLDNNEmitter::build_elementwise_add(
size_t input1_data_index = build_memory_primitive(input1_data_desc);
size_t result_index = build_memory_primitive(result_desc);
inputs_primitive.push_back(*mkldnn_primitives[input0_data_index]);
inputs_primitive.push_back(*mkldnn_primitives[input1_data_index]);
inputs_primitive.push_back(*m_mkldnn_primitives[input0_data_index]);
inputs_primitive.push_back(*m_mkldnn_primitives[input1_data_index]);
// elementwise sum primtive descriptor
mkldnn::sum::primitive_desc sum_pd =
mkldnn::sum::primitive_desc(result_desc, scale_vector, inputs_pd);
// sum primitive
size_t add_index = insert_primitive(
new mkldnn::sum(sum_pd, inputs_primitive, *mkldnn_primitives[result_index]));
new mkldnn::sum(sum_pd, inputs_primitive, *m_mkldnn_primitives[result_index]));
primitive_deps[add_index] = {input0_data_index, input1_data_index, result_index};
m_primitive_deps[add_index] = {input0_data_index, input1_data_index, result_index};
return add_index;
}
......@@ -37,11 +37,7 @@ namespace ngraph
class MKLDNNEmitter
{
public:
MKLDNNEmitter(std::shared_ptr<CPU_ExternalFunction> ef)
: external_function(ef)
{
}
MKLDNNEmitter() {}
const std::vector<mkldnn::primitive*>& get_mkldnn_primitives() const;
size_t insert_primitive(mkldnn::primitive* primitive);
......@@ -103,10 +99,9 @@ namespace ngraph
const std::vector<mkldnn::memory::primitive_desc>& input_pd);
private:
std::shared_ptr<CPU_ExternalFunction> external_function;
std::vector<mkldnn::primitive*> mkldnn_primitives;
std::vector<mkldnn::stream> mkldnn_streams;
std::unordered_map<size_t, std::vector<size_t>> primitive_deps;
std::vector<mkldnn::primitive*> m_mkldnn_primitives;
std::vector<mkldnn::stream> m_mkldnn_streams;
std::unordered_map<size_t, std::vector<size_t>> m_primitive_deps;
};
}
}
......
......@@ -256,7 +256,7 @@ bool runtime::cpu::pass::CPUAssignment::run_on_call_graph(
auto handler = s_dispatcher.find(TI(n));
if (handler != s_dispatcher.end())
{
handler->second(m_external_function.get(), node.get());
handler->second(m_external_function, node.get());
}
}
......
......@@ -39,7 +39,7 @@ namespace ngraph
class CPUAssignment : public ngraph::pass::CallGraphPass
{
public:
CPUAssignment(std::shared_ptr<CPU_ExternalFunction> external_function)
CPUAssignment(CPU_ExternalFunction* external_function)
: m_external_function(external_function)
{
}
......@@ -56,7 +56,7 @@ namespace ngraph
}
private:
std::shared_ptr<CPU_ExternalFunction> m_external_function;
CPU_ExternalFunction* m_external_function;
};
}
}
......
......@@ -719,11 +719,11 @@ bool runtime::cpu::pass::CPULayout::run_on_call_graph(const std::list<std::share
auto handler = s_dispatcher.find(TI(n));
if (handler != s_dispatcher.end())
{
handler->second(m_external_function.get(), node);
handler->second(m_external_function, node);
}
else
{
set_default_layouts(m_external_function.get(), node);
set_default_layouts(m_external_function, node);
}
}
......
......@@ -39,7 +39,7 @@ namespace ngraph
class CPULayout : public ngraph::pass::CallGraphPass
{
public:
CPULayout(std::shared_ptr<CPU_ExternalFunction> external_function)
CPULayout(CPU_ExternalFunction* external_function)
: m_external_function(external_function)
{
}
......@@ -52,7 +52,7 @@ namespace ngraph
std::shared_ptr<ngraph::Node> node);
private:
std::shared_ptr<CPU_ExternalFunction> m_external_function;
CPU_ExternalFunction* m_external_function;
static std::shared_ptr<Node> insert_input_conversions(
CPU_ExternalFunction* external_function,
std::shared_ptr<Node>& node,
......
......@@ -25,7 +25,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief Shape for a tensor.
class Shape : public std::vector<size_t>
{
......@@ -68,10 +67,6 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using Shape = std::vector<size_t>;
#endif
/// Number of elements in spanned by a shape
size_t shape_size(const Shape& shape);
......
......@@ -20,7 +20,6 @@
namespace ngraph
{
#ifdef NO_GLOBAL_TYPE_ALIASES
/// \brief Strides for a tensor.
class Strides : public std::vector<size_t>
{
......@@ -63,8 +62,4 @@ namespace ngraph
return *this;
}
};
#else
// Deprecated definition
using Strides = std::vector<size_t>;
#endif
}
......@@ -43,6 +43,29 @@ static const vector<element::Type> s_known_element_types = {element::from<float>
element::from<uint32_t>(),
element::from<uint64_t>()};
TEST(${BACKEND_NAME}, component_cleanup)
{
shared_ptr<runtime::Backend> backend;
shared_ptr<runtime::ExternalFunction> external;
shared_ptr<runtime::CallFrame> cf;
{
Shape shape{2, 2};
auto A = make_shared<op::Parameter>(element::f32, shape);
auto B = make_shared<op::Parameter>(element::f32, shape);
auto f = make_shared<Function>(A + B, op::ParameterVector{A, B});
auto manager = runtime::Manager::get("${BACKEND_NAME}");
external = manager->compile(f);
backend = manager->allocate_backend();
cf = backend->make_call_frame(external);
}
EXPECT_EQ(cf.use_count(), 1);
cf = nullptr;
EXPECT_EQ(backend.use_count(), 1);
backend = nullptr;
EXPECT_EQ(external.use_count(), 1);
}
TEST(${BACKEND_NAME}, aliased_output)
{
Shape shape{2, 2};
......@@ -138,7 +161,7 @@ TEST(${BACKEND_NAME}, abc)
auto f = make_shared<Function>((A + B) * C, op::ParameterVector{A, B, C});
auto manager = runtime::Manager::get("${BACKEND_NAME}");
auto external = manager->compile(f);
shared_ptr<runtime::ExternalFunction> external = manager->compile(f);
auto backend = manager->allocate_backend();
auto cf = backend->make_call_frame(external);
......
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