Commit bf6f82d8 authored by Paul's avatar Paul
Browse files

Merge from develop

parents 6a0797e2 b93f5320
#include <migraphx/eliminate_contiguous.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/op/identity.hpp>
#include <migraphx/op/dot.hpp>
#include <migraphx/op/sin.hpp>
#include <migraphx/op/slice.hpp>
#include <migraphx/op/transpose.hpp>
#include <migraphx/op/contiguous.hpp>
#include <basic_ops.hpp>
......@@ -36,7 +40,46 @@ TEST_CASE(non_standard_op)
p.add_instruction(pass_op{}, c);
auto count = std::distance(p.begin(), p.end());
p.compile(eliminate_contiguous_target{});
EXPECT(std::distance(p.begin(), p.end()) == count);
}
TEST_CASE(transpose_gemm)
{
migraphx::program p;
auto l = p.add_literal(get_2x2());
auto t = p.add_instruction(migraphx::op::transpose{{1, 0}}, l);
auto c = p.add_instruction(migraphx::op::contiguous{}, t);
auto ic = p.add_instruction(migraphx::op::identity{}, c);
p.add_instruction(migraphx::op::dot{}, ic, l);
auto count = std::distance(p.begin(), p.end());
p.compile(eliminate_contiguous_target{});
EXPECT(std::distance(p.begin(), p.end()) == (count - 1));
}
TEST_CASE(transpose_standard_op)
{
migraphx::program p;
auto l = p.add_literal(get_2x2());
auto t = p.add_instruction(migraphx::op::transpose{{1, 0}}, l);
auto c = p.add_instruction(migraphx::op::contiguous{}, t);
auto sn = p.add_instruction(migraphx::op::sin{}, c);
p.add_instruction(pass_standard_op{}, sn);
auto count = std::distance(p.begin(), p.end());
p.compile(eliminate_contiguous_target{});
EXPECT(std::distance(p.begin(), p.end()) == count);
}
TEST_CASE(no_packed_unary_op)
{
migraphx::program p;
auto l = p.add_literal(get_2x2());
auto t = p.add_instruction(migraphx::op::slice{{1}, {1}, {2}}, l);
auto c = p.add_instruction(migraphx::op::contiguous{}, t);
auto sn = p.add_instruction(migraphx::op::sin{}, c);
p.add_instruction(pass_standard_op{}, sn);
auto count = std::distance(p.begin(), p.end());
p.compile(eliminate_contiguous_target{});
EXPECT(std::distance(p.begin(), p.end()) == count - 1);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
......@@ -8,6 +8,7 @@
#include <migraphx/iterator_for.hpp>
#include <migraphx/op/add.hpp>
#include <migraphx/op/transpose.hpp>
#include <migraphx/op/contiguous.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/pass_manager.hpp>
#include <migraphx/op/tanh.hpp>
......@@ -37,7 +38,8 @@ TEST_CASE(tanh_shape)
auto x = p.add_parameter("x", s);
auto tx = p.add_instruction(migraphx::op::transpose{{1, 0}}, x);
auto txh = p.add_instruction(migraphx::op::tanh{}, tx);
p.add_instruction(migraphx::op::add{}, txh, txh);
auto sum = p.add_instruction(migraphx::op::add{}, txh, txh);
p.add_instruction(migraphx::op::contiguous{}, sum);
return p;
};
......@@ -55,8 +57,8 @@ TEST_CASE(tanh_shape)
{
if(ins->name() == "hip::allocate")
{
migraphx::shape wrong_s{migraphx::shape::float_type, {3, 2}, {1, 3}};
ins->replace(wrong_s);
migraphx::shape new_s{migraphx::shape::float_type, {3, 2}, {1, 3}};
ins->replace(migraphx::gpu::hip_allocate{new_s});
}
}
EXPECT(p1 != p2);
......
......@@ -333,7 +333,22 @@ struct test_trans_tanh : verify_program<test_trans_tanh>
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto tx = p.add_instruction(migraphx::op::transpose{{0, 1, 3, 2}}, x);
auto tanhx = p.add_instruction(migraphx::op::tanh{}, tx);
p.add_instruction(migraphx::op::add{}, tanhx, tanhx);
auto r = p.add_instruction(migraphx::op::add{}, tanhx, tanhx);
p.add_instruction(migraphx::op::contiguous{}, r);
return p;
}
};
struct test_slice_sin : verify_program<test_slice_sin>
{
migraphx::program create_program() const
{
migraphx::program p;
auto l = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2}});
auto t = p.add_instruction(migraphx::op::slice{{1}, {1}, {2}}, l);
p.add_instruction(migraphx::op::sin{}, t);
return p;
}
};
......@@ -692,8 +707,10 @@ struct test_trans_abs : verify_program<test_trans_abs>
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto tx = p.add_instruction(migraphx::op::transpose{{0, 1, 3, 2}}, x);
auto tanhx = p.add_instruction(migraphx::op::abs{}, tx);
p.add_instruction(migraphx::op::add{}, tanhx, tanhx);
auto absx = p.add_instruction(migraphx::op::abs{}, tx);
auto r = p.add_instruction(migraphx::op::add{}, absx, absx);
p.add_instruction(migraphx::op::contiguous{}, r);
return p;
}
};
......@@ -1293,6 +1310,17 @@ struct test_batchnorm_inference : verify_program<test_batchnorm_inference>
}
};
struct test_clip : verify_program<test_clip>
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3}});
p.add_instruction(migraphx::op::clip{6.0, 0.0}, x);
return p;
}
};
struct test_conv_bn : verify_program<test_conv_bn>
{
migraphx::program create_program() const
......
......@@ -18,6 +18,13 @@ struct memory_coloring_target
struct allocate
{
migraphx::shape s{};
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return migraphx::pack(f(self.s, "shape"));
}
std::string name() const { return "allocate"; }
migraphx::shape compute_shape(const std::vector<migraphx::shape>& inputs) const
{
......
......@@ -699,8 +699,7 @@ TEST_CASE(add_scalar_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
auto l1 =
p.add_literal(migraphx::literal{migraphx::shape{migraphx::shape::float_type, {1}}, {1}});
auto l1 = p.add_literal(migraphx::literal{migraphx::shape{migraphx::shape::float_type}, {1}});
auto m0 = p.add_instruction(migraphx::op::multibroadcast{{2, 3, 4, 5}}, l0);
auto m1 = p.add_instruction(migraphx::op::multibroadcast{{2, 3, 4, 5}}, l1);
p.add_instruction(migraphx::op::add{}, m0, m1);
......@@ -795,4 +794,14 @@ TEST_CASE(no_pad_test)
EXPECT(p == prog);
}
TEST_CASE(clip_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
p.add_instruction(migraphx::op::clip{6.0, 0.0}, l0);
auto prog = migraphx::parse_onnx("clip_test.onnx");
EXPECT(p == prog);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
......@@ -29,12 +29,12 @@ TEST_CASE(basic_graph_test)
EXPECT(migraphx::contains(test, "\"@0\"[label=\"@literal\"]"));
EXPECT(migraphx::contains(test, "\"y\"[label=\"@param:y\"]"));
EXPECT(migraphx::contains(test, "\"x\"[label=\"@param:x\"]"));
EXPECT(migraphx::contains(test, "\"@3\"[label=\"sum\"]"));
EXPECT(migraphx::contains(test, "\"@4\"[label=\"sum\"]"));
EXPECT(migraphx::contains(test, "\"x\" -> \"@3\""));
EXPECT(migraphx::contains(test, "\"y\" -> \"@3\""));
EXPECT(migraphx::contains(test, "\"@3\" -> \"@4\""));
EXPECT(migraphx::contains(test, "\"@0\" -> \"@4\""));
EXPECT(migraphx::contains(test, "\"@1\"[label=\"sum\"]"));
EXPECT(migraphx::contains(test, "\"@2\"[label=\"sum\"]"));
EXPECT(migraphx::contains(test, "\"x\" -> \"@1\""));
EXPECT(migraphx::contains(test, "\"y\" -> \"@1\""));
EXPECT(migraphx::contains(test, "\"@1\" -> \"@2\""));
EXPECT(migraphx::contains(test, "\"@0\" -> \"@2\""));
EXPECT(migraphx::contains(test, "[label=\"int64_type, {1}, {0}\"]"));
}
......
......@@ -2,6 +2,10 @@
#include <migraphx/program.hpp>
#include <migraphx/iterator_for.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/op/add.hpp>
#include <migraphx/op/dot.hpp>
#include <migraphx/op/mul.hpp>
#include <migraphx/cpu/target.hpp>
#include <sstream>
#include "test.hpp"
#include <basic_ops.hpp>
......@@ -27,4 +31,78 @@ TEST_CASE(program_equality)
EXPECT(x == y);
}
TEST_CASE(program_copy)
{
auto create_program_1 = [] {
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3, 4, 5}};
std::vector<float> data(3 * 4 * 5);
std::iota(data.begin(), data.end(), 1.0f);
auto l2 = p.add_literal(migraphx::literal(s, data));
auto p1 = p.add_parameter("x", s);
auto po = p.add_outline(s);
auto sum = p.add_instruction(migraphx::op::add{}, l2, po);
p.add_instruction(migraphx::op::mul{}, sum, p1);
return p;
};
{
auto p1 = create_program_1();
migraphx::program p2{};
p2 = p1;
p2.compile(migraphx::cpu::target{});
EXPECT(p1 != p2);
p1.compile(migraphx::cpu::target{});
EXPECT(p1 == p2);
}
{
auto p1 = create_program_1();
auto p2(p1);
EXPECT(p1 == p2);
p1.compile(migraphx::cpu::target{});
EXPECT(p1 != p2);
p2 = p1;
EXPECT(p1 == p2);
}
{
auto p1 = create_program_1();
auto p2 = create_program();
EXPECT(p1 != p2);
p2 = p1;
EXPECT(p1 == p2);
p1.compile(migraphx::cpu::target{});
p2.compile(migraphx::cpu::target{});
EXPECT(p1 == p2);
}
{
migraphx::program p1;
migraphx::shape s1{migraphx::shape::float_type, {2, 3}};
migraphx::shape s2{migraphx::shape::float_type, {3, 6}};
migraphx::shape s3{migraphx::shape::float_type, {2, 6}};
auto para1 = p1.add_parameter("m1", s1);
auto para2 = p1.add_parameter("m2", s2);
auto para3 = p1.add_parameter("m3", s3);
p1.add_instruction(migraphx::op::dot{0.31f, 0.28f}, para1, para2, para3);
migraphx::program p2{};
p2 = p1;
EXPECT(p2 == p1);
p1.compile(migraphx::cpu::target{});
p2.compile(migraphx::cpu::target{});
EXPECT(p2 == p1);
}
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
:
0 Placeholder*
dtype0*
shape:

relu6Relu60*
T0"
\ No newline at end of file
......@@ -80,7 +80,7 @@ TEST_CASE(concat_test)
int axis = 1;
// tf uses axis as the third input, and it is in int32 format
// add the literal using a vector in order to set stride to 1 (like in tf parser)
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {1}}, std::vector<int>{axis});
p.add_literal(migraphx::shape{migraphx::shape::int32_type}, std::vector<int>{axis});
p.add_instruction(migraphx::op::concat{static_cast<std::size_t>(axis)}, l0, l1);
auto prog = migraphx::parse_tf("concat_test.pb", false);
......@@ -91,7 +91,7 @@ TEST_CASE(concat_test)
TEST_CASE(const_test)
{
migraphx::program p;
p.add_literal(migraphx::shape{migraphx::shape::float_type, {1}}, std::vector<float>{1.0f});
p.add_literal(migraphx::shape{migraphx::shape::float_type}, std::vector<float>{1.0f});
auto prog = migraphx::parse_tf("constant_test.pb", false);
EXPECT(p == prog);
......@@ -119,6 +119,30 @@ TEST_CASE(conv_test)
EXPECT(p == prog);
}
TEST_CASE(depthwiseconv_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
std::vector<float> weight_data(3 * 3 * 3 * 1);
std::fill(weight_data.begin(), weight_data.end(), 1.0f);
auto l1 =
p.add_literal(migraphx::shape{migraphx::shape::float_type, {3, 3, 3, 1}}, weight_data);
migraphx::op::convolution op;
op.padding_mode = migraphx::op::padding_mode_t::same;
op.stride = {1, 1};
op.dilation = {1, 1};
op.group = 3;
auto l2 = p.add_instruction(migraphx::op::transpose{{0, 3, 1, 2}}, l1);
auto l3 = p.add_instruction(migraphx::op::transpose{{1, 3, 0, 2}}, l2);
auto l4 = p.add_instruction(migraphx::op::reshape{{3, 1, 3, 3}}, l3);
p.add_instruction(op, l0, l4);
auto prog = migraphx::parse_tf("depthwise_conv_test.pb", true);
EXPECT(p == prog);
}
TEST_CASE(identity_test)
{
migraphx::program p;
......@@ -229,6 +253,16 @@ TEST_CASE(relu_test)
EXPECT(p == prog);
}
TEST_CASE(relu6_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
p.add_instruction(migraphx::op::clip{6.0, 0.0}, l0);
auto prog = migraphx::parse_tf("relu6_test.pb", false);
EXPECT(p == prog);
}
TEST_CASE(reshape_test)
{
migraphx::program p;
......
......@@ -49,7 +49,7 @@ struct operation
argument compute(context& ctx, const shape& output, const std::vector<argument>& input) const;
/// An optional method to return which argument the output will alias. If
/// there is no aliased output then -1 can be returned.
int output_alias(const std::vector<shape>& input) const;
std::ptrdiff_t output_alias(const std::vector<shape>& input) const;
/// An optional stream operator to print the operation. When this is not
/// implemented, it will just print the operation's name.
friend std::ostream& operator<<(std::ostream& os, const operation& op);
......@@ -69,7 +69,7 @@ auto operator<<(std::ostream& os, const T& x) -> decltype(os << x.name())
{
os << x.name();
char delim = '[';
reflect_each(x, [&](auto& y, auto name) {
reflect_each(x, [&](auto&& y, auto name) {
os << delim;
os << name << "=";
stream_write_value(os, y);
......@@ -87,6 +87,8 @@ namespace operation_equal {
template <class T, class U>
auto operator==(const T& x, const U& y) -> decltype(x.name() == y.name())
{
static_assert(is_reflectable<T>{} or sizeof(T) <= 1,
"Missing equality operator or reflect method.");
if(x.name() != y.name())
return false;
const auto& yy = any_cast<T>(y);
......@@ -175,7 +177,7 @@ auto is_context_free_op(const T& x) -> decltype(is_context_free_op(
}
template <class T>
int output_alias_op(rank<0>, const T&, const std::vector<shape>&)
std::ptrdiff_t output_alias_op(rank<0>, const T&, const std::vector<shape>&)
{
return -1;
}
......@@ -188,7 +190,7 @@ auto output_alias_op(rank<1>, const T& x, const std::vector<shape>& shapes)
}
template <class T>
int output_alias_op(const T& x, const std::vector<shape>& shapes)
std::ptrdiff_t output_alias_op(const T& x, const std::vector<shape>& shapes)
{
return output_alias_op(rank<1>{}, x, shapes);
}
......@@ -238,7 +240,7 @@ auto has_finalize_op(const T&) -> decltype(has_finalize_op(rank<1>{},
virtual('is_context_free', returns = 'bool', const = True, default = 'is_context_free_op'),
virtual('has_finalize', returns = 'bool', const = True, default = 'has_finalize_op'),
virtual('output_alias',
returns = 'int',
returns = 'std::ptrdiff_t',
input = 'const std::vector<shape>&',
const = True,
default = 'output_alias_op'),
......
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