"vscode:/vscode.git/clone" did not exist on "7dbc89d371a35f47d9ae7652ed2f92853158c486"
Commit c0154dca authored by Shucai Xiao's avatar Shucai Xiao
Browse files

merge changes from the develop branch

parents ca170b5c 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); }
#include <migraphx/gpu/adjust_allocation.hpp>
#include <migraphx/gpu/target.hpp>
#include <migraphx/gpu/lowering.hpp>
#include <migraphx/gpu/context.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/auto_contiguous.hpp>
#include <migraphx/eliminate_contiguous.hpp>
#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>
#include <basic_ops.hpp>
#include <test.hpp>
struct lowering_target
{
std::string name() const { return "gpu::lowering"; }
std::vector<migraphx::pass> get_passes(migraphx::context& gctx) const
{
auto& ctx = migraphx::any_cast<migraphx::gpu::context>(gctx);
return {migraphx::auto_contiguous{},
migraphx::gpu::lowering{ctx},
migraphx::dead_code_elimination{},
migraphx::eliminate_contiguous{},
migraphx::dead_code_elimination{}};
}
migraphx::gpu::context get_context() const { return migraphx::gpu::context{}; }
};
TEST_CASE(tanh_shape)
{
auto create_program = [] {
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 3}};
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);
auto sum = p.add_instruction(migraphx::op::add{}, txh, txh);
p.add_instruction(migraphx::op::contiguous{}, sum);
return p;
};
auto p1 = create_program();
auto p2 = create_program();
EXPECT(p1 == p2);
p1.compile(lowering_target{});
p2.compile(lowering_target());
EXPECT(p1 == p2);
for(auto ins : iterator_for(p1))
{
if(ins->name() == "hip::allocate")
{
migraphx::shape new_s{migraphx::shape::float_type, {3, 2}, {1, 3}};
ins->replace(migraphx::gpu::hip_allocate{new_s});
}
}
EXPECT(p1 != p2);
migraphx::run_passes(p2,
{migraphx::gpu::adjust_allocation{}, migraphx::dead_code_elimination{}});
EXPECT(p1 == p2);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
......@@ -236,8 +236,7 @@ struct test_exp : verify_program<test_exp>
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {6}};
std::vector<float> data{0.1f, 0.2f, 1.f, 2.f, 0.6f, 10.f};
auto x = p.add_literal(s, data);
auto x = p.add_instruction(migraphx::op::abs{}, p.add_parameter("x", s));
p.add_instruction(migraphx::op::exp{}, x);
return p;
}
......@@ -249,8 +248,7 @@ struct test_log : verify_program<test_log>
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {6}};
std::vector<float> data{0.1f, 0.2f, 1.f, 2.f, 0.6f, 100.f};
auto x = p.add_literal(s, data);
auto x = p.add_instruction(migraphx::op::abs{}, p.add_parameter("x", s));
p.add_instruction(migraphx::op::log{}, x);
return p;
}
......@@ -327,6 +325,34 @@ struct test_tanh : verify_program<test_tanh>
}
};
struct test_trans_tanh : verify_program<test_trans_tanh>
{
migraphx::program create_program() const
{
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::tanh{}, tx);
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;
}
};
struct test_asin : verify_program<test_asin>
{
migraphx::program create_program() const
......@@ -371,7 +397,7 @@ struct test_scale : verify_program<test_scale>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", s);
auto y = p.add_parameter("y", migraphx::shape::float_type);
auto scale = p.add_instruction(migraphx::op::scalar{s}, y);
auto scale = p.add_instruction(migraphx::op::scalar{s.lens()}, y);
p.add_instruction(migraphx::op::mul{}, x, scale);
return p;
}
......@@ -417,7 +443,7 @@ struct test_triadd2 : verify_program<test_triadd2>
auto x = p.add_parameter("x", s);
auto y = p.add_parameter("y", s);
auto z = p.add_parameter("z", b);
auto zb = p.add_instruction(migraphx::op::broadcast{1, s}, z);
auto zb = p.add_instruction(migraphx::op::broadcast{1, s.lens()}, z);
auto sum = p.add_instruction(migraphx::op::add{}, x, y);
p.add_instruction(migraphx::op::add{}, sum, zb);
return p;
......@@ -432,7 +458,7 @@ struct test_add_broadcast : verify_program<test_add_broadcast>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 2, 3}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {2, 2}});
auto by = p.add_instruction(migraphx::op::broadcast{0, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{0, x->get_shape().lens()}, y);
p.add_instruction(migraphx::op::add{}, x, by);
return p;
}
......@@ -446,7 +472,7 @@ struct test_add_broadcast2 : verify_program<test_add_broadcast2>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 3, 4}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {3}});
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape().lens()}, y);
p.add_instruction(migraphx::op::add{}, x, by);
return p;
}
......@@ -460,7 +486,7 @@ struct test_add_broadcast3 : verify_program<test_add_broadcast3>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 4, 5}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {4}});
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape().lens()}, y);
p.add_instruction(migraphx::op::add{}, x, by);
return p;
}
......@@ -474,7 +500,7 @@ struct test_add_broadcast4 : verify_program<test_add_broadcast4>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 3, 5}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {3}});
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape().lens()}, y);
p.add_instruction(migraphx::op::add{}, x, by);
return p;
}
......@@ -488,7 +514,7 @@ struct test_add_broadcast5 : verify_program<test_add_broadcast5>
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 4, 8}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {4}});
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{1, x->get_shape().lens()}, y);
p.add_instruction(migraphx::op::add{}, x, by);
return p;
}
......@@ -503,7 +529,7 @@ struct test_triadd_broadcast : verify_program<test_triadd_broadcast>
auto x = p.add_parameter("x", {migraphx::shape::float_type, {2, 2, 3}});
auto y = p.add_parameter("y", {migraphx::shape::float_type, {2, 2}});
auto z = p.add_parameter("z", {migraphx::shape::float_type, {2, 2, 3}});
auto by = p.add_instruction(migraphx::op::broadcast{0, x->get_shape()}, y);
auto by = p.add_instruction(migraphx::op::broadcast{0, x->get_shape().lens()}, y);
auto sum = p.add_instruction(migraphx::op::add{}, x, by);
p.add_instruction(migraphx::op::add{}, sum, z);
return p;
......@@ -535,7 +561,7 @@ struct test_sub2 : verify_program<test_sub2>
auto x = p.add_parameter("x", s);
auto y = p.add_parameter("y", s);
auto z = p.add_parameter("z", b);
auto zb = p.add_instruction(migraphx::op::broadcast{1, s}, z);
auto zb = p.add_instruction(migraphx::op::broadcast{1, s.lens()}, z);
auto diff = p.add_instruction(migraphx::op::sub{}, x, y);
p.add_instruction(migraphx::op::sub{}, diff, zb);
return p;
......@@ -674,6 +700,21 @@ struct test_abs : verify_program<test_abs>
}
};
struct test_trans_abs : verify_program<test_trans_abs>
{
migraphx::program create_program() const
{
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 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;
}
};
struct test_leaky_relu : verify_program<test_leaky_relu>
{
migraphx::program create_program() const
......@@ -1285,6 +1326,17 @@ 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
{
......
......@@ -154,7 +154,7 @@ TEST_CASE(rnn_test_one_direction)
auto out_hs =
p.add_instruction(migraphx::op::rnn{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::reverse,
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
......@@ -339,7 +339,7 @@ TEST_CASE(gru_test_args)
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
{migraphx::op::relu{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
......@@ -373,7 +373,10 @@ TEST_CASE(gru_test_args)
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
{migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::relu{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
......@@ -414,14 +417,20 @@ TEST_CASE(gru_test_actv_funcs)
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto ih = p.add_parameter("h0", migraphx::shape{migraphx::shape::float_type, {nd, bs, hs}});
auto out_hs = p.add_instruction(
migraphx::op::gru{hs, {}, migraphx::op::rnn_direction::bidirectional, clip},
seq,
w,
r,
bias,
seq_len,
ih);
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_0.onnx");
......@@ -445,15 +454,20 @@ TEST_CASE(gru_test_actv_funcs)
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto ih = p.add_parameter("h0", migraphx::shape{migraphx::shape::float_type, {nd, bs, hs}});
auto out_hs = p.add_instruction(
migraphx::op::gru{
hs, {migraphx::op::tanh{}}, migraphx::op::rnn_direction::bidirectional, clip},
seq,
w,
r,
bias,
seq_len,
ih);
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_1.onnx");
......@@ -479,7 +493,10 @@ TEST_CASE(gru_test_actv_funcs)
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
{migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
......@@ -511,17 +528,20 @@ TEST_CASE(gru_test_actv_funcs)
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto ih = p.add_parameter("h0", migraphx::shape{migraphx::shape::float_type, {nd, bs, hs}});
auto out_hs = p.add_instruction(
migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_3.onnx");
......@@ -546,7 +566,10 @@ TEST_CASE(gru_test_actv_funcs)
auto ih = p.add_parameter("h0", migraphx::shape{migraphx::shape::float_type, {nd, bs, hs}});
auto out_hs =
p.add_instruction(migraphx::op::gru{hs, {}, migraphx::op::rnn_direction::forward, clip},
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
......@@ -576,15 +599,17 @@ TEST_CASE(gru_test_actv_funcs)
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto ih = p.add_parameter("h0", migraphx::shape{migraphx::shape::float_type, {nd, bs, hs}});
auto out_hs = p.add_instruction(
migraphx::op::gru{
hs, {migraphx::op::relu{}}, migraphx::op::rnn_direction::reverse, clip},
seq,
w,
r,
bias,
seq_len,
ih);
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::relu{}, migraphx::op::relu{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_reverse_1.onnx");
......@@ -826,7 +851,12 @@ TEST_CASE(lstm_forward_actv_func)
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{hs, {}, migraphx::op::rnn_direction::forward, clip, input_forget},
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
input_forget},
seq,
w,
r,
......@@ -851,19 +881,21 @@ TEST_CASE(lstm_forward_actv_func)
auto bias = p.add_parameter("bias", bias_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip,
input_forget},
seq,
w,
r,
bias,
und,
und,
und,
und);
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::sigmoid{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip,
input_forget},
seq,
w,
r,
bias,
und,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_f1af.onnx");
......@@ -881,20 +913,21 @@ TEST_CASE(lstm_forward_actv_func)
auto seq_len = p.add_parameter("seq_len", sl_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
und,
und,
und);
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_f2af.onnx");
......@@ -993,7 +1026,12 @@ TEST_CASE(lstm_reverse)
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{hs, {}, migraphx::op::rnn_direction::forward, clip, input_forget},
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip,
input_forget},
seq,
w,
r,
......@@ -1037,21 +1075,25 @@ TEST_CASE(lstm_bidirectional)
auto ic = p.add_parameter("c0", ih_shape);
auto pph = p.add_parameter("pph", pph_shape);
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
ic,
pph);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
ic,
pph);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi.onnx");
......@@ -1067,21 +1109,25 @@ TEST_CASE(lstm_bidirectional)
auto r = p.add_parameter("r", r_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
und,
und,
und,
und,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
und,
und,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi3args.onnx");
......@@ -1098,21 +1144,25 @@ TEST_CASE(lstm_bidirectional)
auto bias = p.add_parameter("bias", bias_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
und,
und,
und,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
und,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi4args.onnx");
......@@ -1130,21 +1180,25 @@ TEST_CASE(lstm_bidirectional)
auto seq_len = p.add_parameter("seq_len", sl_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
und,
und,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi5args.onnx");
......@@ -1163,21 +1217,25 @@ TEST_CASE(lstm_bidirectional)
auto ih = p.add_parameter("h0", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
und,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi6args.onnx");
......@@ -1197,21 +1255,25 @@ TEST_CASE(lstm_bidirectional)
auto ic = p.add_parameter("c0", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
ic,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
bias,
seq_len,
ih,
ic,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi7args.onnx");
......@@ -1244,17 +1306,25 @@ TEST_CASE(lstm_bi_actv_funcs)
auto r = p.add_parameter("r", r_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::lstm{
hs, {}, migraphx::op::rnn_direction::bidirectional, clip, input_forget},
seq,
w,
r,
und,
und,
und,
und,
und);
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
seq,
w,
r,
und,
und,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::lstm_last_cell_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_lstm_bi0af.onnx");
......@@ -1273,7 +1343,12 @@ TEST_CASE(lstm_bi_actv_funcs)
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{}},
{migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
......@@ -1304,7 +1379,12 @@ TEST_CASE(lstm_bi_actv_funcs)
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
input_forget},
......@@ -1337,6 +1417,8 @@ TEST_CASE(lstm_bi_actv_funcs)
auto out_hs =
p.add_instruction(migraphx::op::lstm{hs,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::tanh{}},
......@@ -1376,6 +1458,7 @@ TEST_CASE(lstm_bi_actv_funcs)
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip,
......
......@@ -15,7 +15,7 @@ TEST_CASE(pytorch_conv_bias_test)
auto l2 = p.add_parameter("2", {migraphx::shape::float_type, {1}});
uint64_t axis = 1;
auto l3 = p.add_instruction(migraphx::op::convolution{}, l0, l1);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape()}, l2);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape().lens()}, l2);
p.add_instruction(migraphx::op::add{}, l3, l4);
auto prog = migraphx::parse_onnx("conv.onnx");
......@@ -30,7 +30,7 @@ TEST_CASE(pytorch_conv_relu_maxpool)
auto l2 = p.add_parameter("2", {migraphx::shape::float_type, {1}});
uint64_t axis = 1;
auto l3 = p.add_instruction(migraphx::op::convolution{}, l0, l1);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape()}, l2);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape().lens()}, l2);
auto l5 = p.add_instruction(migraphx::op::add{}, l3, l4);
auto l6 = p.add_instruction(migraphx::op::relu{}, l5);
p.add_instruction(migraphx::op::pooling{"max", {{0, 0}}, {{2, 2}}, {{2, 2}}}, l6);
......@@ -52,7 +52,7 @@ TEST_CASE(pytorch_conv_bn_relu_maxpool)
auto p6 = p.add_parameter("6", {migraphx::shape::float_type, {1}});
uint64_t axis = 1;
auto l3 = p.add_instruction(migraphx::op::convolution{}, l0, l1);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape()}, l2);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape().lens()}, l2);
auto l5 = p.add_instruction(migraphx::op::add{}, l3, l4);
auto l6 = p.add_instruction(migraphx::op::batch_norm_inference{1.0e-5f}, l5, p3, p4, p5, p6);
auto l7 = p.add_instruction(migraphx::op::relu{}, l6);
......@@ -70,7 +70,7 @@ TEST_CASE(pytorch_conv_relu_maxpool_x2)
auto l2 = p.add_parameter("2", {migraphx::shape::float_type, {5}});
uint64_t axis = 1;
auto l3 = p.add_instruction(migraphx::op::convolution{}, l0, l1);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape()}, l2);
auto l4 = p.add_instruction(migraphx::op::broadcast{axis, l3->get_shape().lens()}, l2);
auto l5 = p.add_instruction(migraphx::op::add{}, l3, l4);
auto l6 = p.add_instruction(migraphx::op::relu{}, l5);
auto l7 = p.add_instruction(migraphx::op::pooling{"max", {{0, 0}}, {{2, 2}}, {{2, 2}}}, l6);
......@@ -78,7 +78,7 @@ TEST_CASE(pytorch_conv_relu_maxpool_x2)
auto l8 = p.add_parameter("3", {migraphx::shape::float_type, {1, 5, 5, 5}});
auto l9 = p.add_parameter("4", {migraphx::shape::float_type, {1}});
auto l10 = p.add_instruction(migraphx::op::convolution{}, l7, l8);
auto l11 = p.add_instruction(migraphx::op::broadcast{axis, l10->get_shape()}, l9);
auto l11 = p.add_instruction(migraphx::op::broadcast{axis, l10->get_shape().lens()}, l9);
auto l12 = p.add_instruction(migraphx::op::add{}, l10, l11);
auto l13 = p.add_instruction(migraphx::op::relu{}, l12);
p.add_instruction(migraphx::op::pooling{"max", {{0, 0}}, {{2, 2}}, {{2, 2}}}, l13);
......@@ -108,9 +108,9 @@ TEST_CASE(imagescaler_test)
auto scale_val = p.add_literal(0.5f);
auto bias_vals = p.add_literal(
migraphx::literal{migraphx::shape{migraphx::shape::float_type, {3}}, {0.01, 0.02, 0.03}});
auto scaled_tensor = p.add_instruction(migraphx::op::scalar{s}, scale_val);
auto scaled_tensor = p.add_instruction(migraphx::op::scalar{s.lens()}, scale_val);
auto img_scaled = p.add_instruction(migraphx::op::mul{}, l0, scaled_tensor);
auto bias_bcast = p.add_instruction(migraphx::op::broadcast{1, s}, bias_vals);
auto bias_bcast = p.add_instruction(migraphx::op::broadcast{1, s.lens()}, bias_vals);
p.add_instruction(migraphx::op::add{}, img_scaled, bias_bcast);
auto prog = migraphx::parse_onnx("imagescaler_test.onnx");
......@@ -338,7 +338,7 @@ TEST_CASE(add_bcast_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4}});
auto l2 = p.add_instruction(migraphx::op::broadcast{1, l0->get_shape()}, l1);
auto l2 = p.add_instruction(migraphx::op::broadcast{1, l0->get_shape().lens()}, l1);
p.add_instruction(migraphx::op::add{}, l0, l2);
auto prog = migraphx::parse_onnx("add_bcast_test.onnx");
......@@ -365,7 +365,7 @@ TEST_CASE(sub_bcast_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4}});
auto l2 = p.add_instruction(migraphx::op::broadcast{1, l0->get_shape()}, l1);
auto l2 = p.add_instruction(migraphx::op::broadcast{1, l0->get_shape().lens()}, l1);
p.add_instruction(migraphx::op::sub{}, l0, l2);
auto prog = migraphx::parse_onnx("sub_bcast_test.onnx");
......@@ -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); }
......@@ -229,6 +229,36 @@ TEST_CASE(multibroadcast)
}
}
TEST_CASE(broadcast)
{
{
std::vector<std::size_t> lens{1, 1};
migraphx::shape input{migraphx::shape::float_type, {4, 1, 3}};
expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 1}, {0, 0}},
migraphx::op::broadcast{0, lens},
input);
}
{
std::vector<std::size_t> lens{1, 1};
migraphx::shape input{migraphx::shape::float_type, {4, 1, 3}};
throws_shape(migraphx::op::broadcast{1, lens}, input);
}
{
std::vector<std::size_t> lens{3, 2, 4, 3};
migraphx::shape input{migraphx::shape::float_type, {4, 3}};
expect_shape(migraphx::shape{migraphx::shape::float_type, {3, 2, 4, 3}, {0, 0, 3, 1}},
migraphx::op::broadcast{2, lens},
input);
}
{
std::vector<std::size_t> lens{3, 2, 4, 3};
migraphx::shape input{migraphx::shape::float_type, {4, 4}};
throws_shape(migraphx::op::broadcast{2, lens}, input);
}
}
TEST_CASE(gather)
{
{
......
#include <migraphx/program.hpp>
#include <migraphx/ranges.hpp>
#include <sstream>
#include "test.hpp"
#include <basic_ops.hpp>
migraphx::program create_program()
{
migraphx::program p;
auto x = p.add_parameter("x", {migraphx::shape::int64_type});
auto y = p.add_parameter("y", {migraphx::shape::int64_type});
auto sum = p.add_instruction(sum_op{}, x, y);
auto one = p.add_literal(1);
p.add_instruction(sum_op{}, sum, one);
return p;
}
TEST_CASE(basic_graph_test)
{
migraphx::program p = create_program();
std::stringstream ss;
p.print_graph(ss);
std::string test = ss.str();
EXPECT(migraphx::contains(test, "digraph"));
EXPECT(migraphx::contains(test, "rankdir=LR"));
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, "\"@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}\"]"));
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
......@@ -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); }
#include <migraphx/constant_propagate.hpp>
#include <migraphx/propagate_constant.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/op/add.hpp>
#include <migraphx/op/scalar.hpp>
#include <migraphx/op/mul.hpp>
#include <basic_ops.hpp>
#include <test.hpp>
......@@ -9,12 +11,12 @@ struct const_prop_target
std::string name() const { return "const_prop"; }
std::vector<migraphx::pass> get_passes(migraphx::context&) const
{
return {migraphx::constant_propagate{}, migraphx::dead_code_elimination{}};
return {migraphx::propagate_constant{}, migraphx::dead_code_elimination{}};
}
migraphx::context get_context() const { return {}; }
};
TEST_CASE(const_add1)
TEST_CASE(const_add)
{
migraphx::program p1;
auto one = p1.add_literal(1);
......@@ -29,7 +31,7 @@ TEST_CASE(const_add1)
EXPECT(p1 == p2);
}
TEST_CASE(const_add2)
TEST_CASE(const_add_parameter)
{
migraphx::program p1;
auto one = p1.add_parameter("one", {migraphx::shape::int32_type, {1}});
......@@ -44,7 +46,7 @@ TEST_CASE(const_add2)
EXPECT(p1 != p2);
}
TEST_CASE(const_add3)
TEST_CASE(const_multiadd)
{
migraphx::program p1;
auto one = p1.add_literal(1);
......@@ -60,4 +62,54 @@ TEST_CASE(const_add3)
EXPECT(p1 == p2);
}
TEST_CASE(const_add_mul)
{
migraphx::program p1;
auto one = p1.add_literal(1);
auto two = p1.add_literal(2);
auto mul = p1.add_instruction(migraphx::op::mul{}, two, two);
auto sum1 = p1.add_instruction(migraphx::op::add{}, one, mul);
auto sum2 = p1.add_instruction(migraphx::op::add{}, sum1, two);
p1.add_instruction(pass_op{}, sum2);
p1.compile(const_prop_target{});
migraphx::program p2;
auto total = p2.add_literal(7);
p2.add_instruction(pass_op{}, total);
EXPECT(p1 == p2);
}
TEST_CASE(const_add_scalar)
{
migraphx::program p1;
auto one = p1.add_instruction(migraphx::op::scalar{{2, 2}}, p1.add_literal(1));
auto two = p1.add_instruction(migraphx::op::scalar{{2, 2}}, p1.add_literal(2));
auto sum = p1.add_instruction(migraphx::op::add{}, one, two);
p1.add_instruction(pass_op{}, sum);
p1.compile(const_prop_target{});
migraphx::program p2;
auto total =
p2.add_literal(migraphx::literal{{migraphx::shape::int32_type, {2, 2}}, {3, 3, 3, 3}});
p2.add_instruction(pass_op{}, total);
EXPECT(p1 == p2);
}
TEST_CASE(const_scalar)
{
migraphx::program p1;
{
auto one = p1.add_instruction(migraphx::op::scalar{{2, 2}}, p1.add_literal(1));
p1.add_instruction(pass_op{}, one);
}
p1.compile(const_prop_target{});
migraphx::program p2;
{
auto one = p2.add_instruction(migraphx::op::scalar{{2, 2}}, p2.add_literal(1));
p2.add_instruction(pass_op{}, one);
}
EXPECT(p1 == p2);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
2
0 Placeholder*
dtype0*
shape
:
2
1 Placeholder*
dtype0*
shape
:
F
matmul1MatMul01*
T0*
transpose_a(*
transpose_b("
\ No newline at end of file
:
0 Placeholder*
shape:*
dtype0
:
1 Placeholder*
dtype0*
shape:

mul1Mul01*
T0"
\ No newline at end of file
:
0 Placeholder*
dtype0*
shape:

relu6Relu60*
T0"
\ No newline at end of file
......@@ -63,7 +63,7 @@ TEST_CASE(biasadd_test)
uint64_t axis = 1;
auto l0 = p.add_parameter("0", s0);
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {500}});
auto l2 = p.add_instruction(migraphx::op::broadcast{axis, l0->get_shape()}, l1);
auto l2 = p.add_instruction(migraphx::op::broadcast{axis, l0->get_shape().lens()}, l1);
p.add_instruction(migraphx::op::add{}, l0, l2);
auto prog = migraphx::parse_tf("biasadd_test.pb", true);
......@@ -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;
......@@ -129,6 +153,33 @@ TEST_CASE(identity_test)
EXPECT(p == prog);
}
TEST_CASE(matmul_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {8, 4}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {4, 8}});
auto trans_l0 = p.add_instruction(migraphx::op::transpose{{1, 0}}, l0);
auto trans_l1 = p.add_instruction(migraphx::op::transpose{{1, 0}}, l1);
p.add_instruction(migraphx::op::dot{}, trans_l0, trans_l1);
auto prog = migraphx::parse_tf("matmul_test.pb", false);
EXPECT(p == prog);
}
TEST_CASE(mul_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 1, 1, 16}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 1, 1, 16}});
p.add_instruction(migraphx::op::mul{}, l0, l1);
auto prog = migraphx::parse_tf("mul_test.pb", false);
EXPECT(p == prog);
}
TEST_CASE(pack_test)
{
migraphx::program p;
......@@ -202,6 +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;
......@@ -237,4 +298,28 @@ TEST_CASE(squeeze_test)
EXPECT(p == prog);
}
TEST_CASE(stridedslice_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 10, 1, 1}});
std::size_t num_axes = 4;
migraphx::op::slice op;
op.starts = {0, 0, 0, 0};
op.ends = {1, 5, 1, 1};
op.axes = std::vector<int64_t>(num_axes);
std::iota(op.axes.begin(), op.axes.end(), 0);
// add literals for starts, ends, and strides in tf (NHWC format)
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{0, 0, 0, 0});
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{1, 1, 1, 5});
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{1, 1, 1, 1});
auto l1 = p.add_instruction(op, l0);
auto shrink_axis = 2;
p.add_instruction(migraphx::op::squeeze{{shrink_axis}}, l1);
auto prog = migraphx::parse_tf("stridedslice_test.pb", true);
EXPECT(p == prog);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
......@@ -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'),
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment