Unverified Commit a5c1c7f6 authored by Paul Fultz II's avatar Paul Fultz II Committed by GitHub
Browse files

Merge branch 'develop' into mem_color_ordering_fix

parents 462a4920 d516b099
 sinh-example:;
xy"Sinh test_sinhZ
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b
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...@@ -7,7 +7,7 @@ ...@@ -7,7 +7,7 @@
#include <migraphx/onnx.hpp> #include <migraphx/onnx.hpp>
#include "test.hpp" #include "test.hpp"
void pytorch_conv_bias_test() TEST_CASE(pytorch_conv_bias_test)
{ {
migraphx::program p; migraphx::program p;
auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}}); auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
...@@ -22,7 +22,7 @@ void pytorch_conv_bias_test() ...@@ -22,7 +22,7 @@ void pytorch_conv_bias_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void pytorch_conv_relu_maxpool() TEST_CASE(pytorch_conv_relu_maxpool)
{ {
migraphx::program p; migraphx::program p;
auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}}); auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
...@@ -39,7 +39,7 @@ void pytorch_conv_relu_maxpool() ...@@ -39,7 +39,7 @@ void pytorch_conv_relu_maxpool()
EXPECT(p == prog); EXPECT(p == prog);
} }
void pytorch_conv_bn_relu_maxpool() TEST_CASE(pytorch_conv_bn_relu_maxpool)
{ {
migraphx::program p; migraphx::program p;
auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}}); auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
...@@ -62,7 +62,7 @@ void pytorch_conv_bn_relu_maxpool() ...@@ -62,7 +62,7 @@ void pytorch_conv_bn_relu_maxpool()
EXPECT(p == prog); EXPECT(p == prog);
} }
void pytorch_conv_relu_maxpool_x2() TEST_CASE(pytorch_conv_relu_maxpool_x2)
{ {
migraphx::program p; migraphx::program p;
auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}}); auto l0 = p.add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
...@@ -88,7 +88,7 @@ void pytorch_conv_relu_maxpool_x2() ...@@ -88,7 +88,7 @@ void pytorch_conv_relu_maxpool_x2()
EXPECT(p == prog); EXPECT(p == prog);
} }
void leaky_relu_test() TEST_CASE(leaky_relu_test)
{ {
migraphx::program p; migraphx::program p;
float alpha = 0.01f; float alpha = 0.01f;
...@@ -100,7 +100,7 @@ void leaky_relu_test() ...@@ -100,7 +100,7 @@ void leaky_relu_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void imagescaler_test() TEST_CASE(imagescaler_test)
{ {
migraphx::program p; migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {1, 3, 16, 16}}; migraphx::shape s{migraphx::shape::float_type, {1, 3, 16, 16}};
...@@ -118,7 +118,7 @@ void imagescaler_test() ...@@ -118,7 +118,7 @@ void imagescaler_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void globalavgpool_test() TEST_CASE(globalavgpool_test)
{ {
migraphx::program p; migraphx::program p;
auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}}); auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
...@@ -132,7 +132,7 @@ void globalavgpool_test() ...@@ -132,7 +132,7 @@ void globalavgpool_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void globalmaxpool_test() TEST_CASE(globalmaxpool_test)
{ {
migraphx::program p; migraphx::program p;
auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}}); auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
...@@ -146,7 +146,7 @@ void globalmaxpool_test() ...@@ -146,7 +146,7 @@ void globalmaxpool_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void transpose_test() TEST_CASE(transpose_test)
{ {
migraphx::program p; migraphx::program p;
auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}}); auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
...@@ -158,7 +158,7 @@ void transpose_test() ...@@ -158,7 +158,7 @@ void transpose_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
void dropout_test() TEST_CASE(dropout_test)
{ {
migraphx::program p; migraphx::program p;
auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}}); auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}});
...@@ -169,16 +169,1046 @@ void dropout_test() ...@@ -169,16 +169,1046 @@ void dropout_test()
EXPECT(p == prog); EXPECT(p == prog);
} }
int main() TEST_CASE(sum_test)
{ {
pytorch_conv_bias_test(); migraphx::program p;
pytorch_conv_relu_maxpool(); auto input0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
pytorch_conv_bn_relu_maxpool(); auto input1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
pytorch_conv_relu_maxpool_x2(); auto input2 = p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
leaky_relu_test(); auto l0 = p.add_instruction(migraphx::op::add{}, input0, input1);
imagescaler_test(); p.add_instruction(migraphx::op::add{}, l0, input2);
globalavgpool_test();
globalmaxpool_test(); auto prog = migraphx::parse_onnx("sum_test.onnx");
transpose_test(); EXPECT(p == prog);
dropout_test(); }
TEST_CASE(exp_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::exp{}, input);
auto prog = migraphx::parse_onnx("exp_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(log_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::log{}, input);
auto prog = migraphx::parse_onnx("log_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(sin_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::sin{}, input);
auto prog = migraphx::parse_onnx("sin_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(cos_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::cos{}, input);
auto prog = migraphx::parse_onnx("cos_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(tan_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::tan{}, input);
auto prog = migraphx::parse_onnx("tan_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(sinh_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::sinh{}, input);
auto prog = migraphx::parse_onnx("sinh_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(cosh_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1}});
p.add_instruction(migraphx::op::cosh{}, input);
auto prog = migraphx::parse_onnx("cosh_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(tanh_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1}});
p.add_instruction(migraphx::op::tanh{}, input);
auto prog = migraphx::parse_onnx("tanh_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(elu_test)
{
migraphx::program p;
auto input = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
p.add_instruction(migraphx::op::elu{0.01}, input);
auto prog = migraphx::parse_onnx("elu_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(asin_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::asin{}, input);
auto prog = migraphx::parse_onnx("asin_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(max_test)
{
migraphx::program p;
auto input0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
auto input1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
auto input2 = p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
auto l0 = p.add_instruction(migraphx::op::max{}, input0, input1);
p.add_instruction(migraphx::op::max{}, l0, input2);
migraphx::parse_onnx("max_test.onnx");
}
TEST_CASE(acos_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::acos{}, input);
auto prog = migraphx::parse_onnx("acos_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(min_test)
{
migraphx::program p;
auto input0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
auto input1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
auto input2 = p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
auto l0 = p.add_instruction(migraphx::op::min{}, input0, input1);
p.add_instruction(migraphx::op::min{}, l0, input2);
migraphx::parse_onnx("min_test.onnx");
}
TEST_CASE(atan_test)
{
migraphx::program p;
auto input = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
p.add_instruction(migraphx::op::atan{}, input);
auto prog = migraphx::parse_onnx("atan_test.onnx");
EXPECT(p == prog);
}
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);
p.add_instruction(migraphx::op::add{}, l0, l2);
auto prog = migraphx::parse_onnx("add_bcast_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(implicit_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::multibroadcast{{2, 3, 4, 5}}, l0);
auto l3 = p.add_instruction(migraphx::op::multibroadcast{{2, 3, 4, 5}}, l1);
p.add_instruction(migraphx::op::add{}, l2, l3);
auto prog = migraphx::parse_onnx("implicit_bcast_test.onnx");
EXPECT(p == prog);
}
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);
p.add_instruction(migraphx::op::sub{}, l0, l2);
auto prog = migraphx::parse_onnx("sub_bcast_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(implicit_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::multibroadcast{{2, 3, 4, 5}}, l0);
auto l3 = p.add_instruction(migraphx::op::multibroadcast{{2, 3, 4, 5}}, l1);
p.add_instruction(migraphx::op::sub{}, l2, l3);
auto prog = migraphx::parse_onnx("implicit_sub_bcast_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(unknown_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::unknown{"Unknown"}, l0, l1);
p.add_instruction(migraphx::unknown{"Unknown"}, l2);
auto prog = migraphx::parse_onnx("unknown_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(softmax_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3}});
auto r = p.add_instruction(migraphx::op::reshape{{1, 3, 1, 1}}, l0);
auto s = p.add_instruction(migraphx::op::softmax{}, r);
p.add_instruction(migraphx::op::reshape{{1, 3}}, s);
auto prog = migraphx::parse_onnx("softmax_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(reshape_test)
{
migraphx::program p;
migraphx::op::reshape op;
std::vector<int64_t> reshape_dims{3, 8};
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {4, 2, 3}});
p.add_literal(
migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {2}}, reshape_dims});
op.dims = reshape_dims;
p.add_instruction(op, l0);
p.add_instruction(op, l0);
auto prog = migraphx::parse_onnx("reshape_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(shape_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3, 4, 5, 6}};
auto l0 = p.add_parameter("x", s);
migraphx::shape s_shape{migraphx::shape::int64_type, {4}};
p.add_literal(s_shape, l0->get_shape().lens());
auto prog = migraphx::parse_onnx("shape_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(gather_test)
{
migraphx::program p;
auto l0 = p.add_parameter("data", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
auto l1 = p.add_parameter("indices", migraphx::shape{migraphx::shape::int32_type, {2, 3}});
int axis = 1;
p.add_instruction(migraphx::op::gather{axis}, l0, l1);
auto prog = migraphx::parse_onnx("gather_test.onnx");
EXPECT(p == prog);
} }
TEST_CASE(shape_gather_test)
{
migraphx::program p;
auto l0 = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {7, 3, 10}});
auto l1 =
p.add_literal(migraphx::shape{migraphx::shape::int64_type, {3}}, l0->get_shape().lens());
migraphx::shape const_shape{migraphx::shape::int32_type, {1}};
auto l2 = p.add_literal(migraphx::literal{const_shape, {1}});
int axis = 0;
p.add_instruction(migraphx::op::gather{axis}, l1, l2);
auto prog = migraphx::parse_onnx("shape_gather.onnx");
EXPECT(p == prog);
}
TEST_CASE(rnn_test)
{
std::size_t sl = 5; // sequence len
std::size_t bs = 3; // batch size
std::size_t hs = 20; // hidden size
std::size_t is = 10; // input size
std::size_t nd = 2; // num directions
float clip = 0.0f;
// bidirectional
{
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w = p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, hs, is}});
auto r = p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 2 * hs}});
auto seq_len =
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::rnn{hs,
{migraphx::op::tanh{}, 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_rnn_bi.onnx");
EXPECT(p == prog);
}
// forward
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w = p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, hs, is}});
auto r = p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 2 * hs}});
auto seq_len =
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::rnn{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_rnn_forward.onnx");
EXPECT(p == prog);
}
// reverse
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w = p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, hs, is}});
auto r = p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 2 * hs}});
auto seq_len =
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::rnn{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
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_rnn_reverse.onnx");
EXPECT(p == prog);
}
// 3 argumments
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w = p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, hs, is}});
auto r = p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, hs, hs}});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::rnn{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_rnn_3args.onnx");
EXPECT(p == prog);
}
// 5 argumments
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w = p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, hs, is}});
auto r = p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 2 * hs}});
auto seq_len =
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::rnn{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
seq_len,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_rnn_5args.onnx");
EXPECT(p == prog);
}
}
TEST_CASE(gru_test)
{
std::size_t sl = 5; // sequence len
std::size_t bs = 3; // batch size
std::size_t hs = 20; // hidden size
std::size_t is = 10; // input size
std::size_t nd = 2; // num directions
float clip = 0.0f;
// forward
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
seq_len,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_forward.onnx");
EXPECT(p == prog);
}
// reverse
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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::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.onnx");
EXPECT(p == prog);
}
// bidirectional
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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::relu{},
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.onnx");
EXPECT(p == prog);
}
}
TEST_CASE(gru_test_args)
{
std::size_t sl = 5; // sequence len
std::size_t bs = 3; // batch size
std::size_t hs = 20; // hidden size
std::size_t is = 10; // input size
std::size_t nd = 2; // num directions
float clip = 0.0f;
// 3 arguments
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
und,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_3arg.onnx");
EXPECT(p == prog);
}
// 4 arguments
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
und,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_4arg.onnx");
EXPECT(p == prog);
}
// 5 arguments
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
p.add_parameter("seq_len", migraphx::shape{migraphx::shape::int32_type, {bs}});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::gru{hs,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
seq_len,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_5arg.onnx");
EXPECT(p == prog);
}
}
TEST_CASE(gru_test_actv_funcs)
{
std::size_t sl = 5; // sequence len
std::size_t bs = 3; // batch size
std::size_t hs = 20; // hidden size
std::size_t is = 10; // input size
std::size_t nd = 2; // num directions
float clip = 0.0f;
// bidirection, 0 actv function
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_0.onnx");
EXPECT(p == prog);
}
// bidirection, 1 actv function
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_1.onnx");
EXPECT(p == prog);
}
// bidirection, 2 actv functions
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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::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_2.onnx");
EXPECT(p == prog);
}
// bidirection, 3 actv functions
{
nd = 2;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_bi_3.onnx");
EXPECT(p == prog);
}
// forward, 0 actv function
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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::forward, 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_forward_0.onnx");
EXPECT(p == prog);
}
// reverse, 1 actv function
{
nd = 1;
migraphx::program p;
auto seq =
p.add_parameter("seq", migraphx::shape{migraphx::shape::float_type, {sl, bs, is}});
auto w =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, is}});
auto r =
p.add_parameter("r", migraphx::shape{migraphx::shape::float_type, {nd, 3 * hs, hs}});
auto bias =
p.add_parameter("bias", migraphx::shape{migraphx::shape::float_type, {nd, 6 * hs}});
auto seq_len =
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);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
auto prog = migraphx::parse_onnx("onnx_gru_reverse_1.onnx");
EXPECT(p == prog);
}
}
TEST_CASE(flatten_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
p.add_instruction(migraphx::op::flatten{1}, l0);
p.add_instruction(migraphx::op::flatten{2}, l0);
auto prog = migraphx::parse_onnx("flatten_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(squeeze_unsqueeze_test)
{
migraphx::program p;
std::vector<int64_t> squeeze_axes{0, 2, 3, 5};
std::vector<int64_t> unsqueeze_axes{0, 1, 3, 5};
auto l0 =
p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 1, 1, 2, 1}});
auto l1 = p.add_instruction(migraphx::op::squeeze{squeeze_axes}, l0);
p.add_instruction(migraphx::op::unsqueeze{unsqueeze_axes}, l1);
auto prog = migraphx::parse_onnx("squeeze_unsqueeze_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(concat_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 4, 3}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {7, 4, 3}});
p.add_instruction(migraphx::op::concat{0}, l0, l1);
auto prog = migraphx::parse_onnx("concat_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(slice_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 2}});
p.add_instruction(migraphx::op::slice{{0, 1}, {1, 0}, {2, 2}}, l0);
auto prog = migraphx::parse_onnx("slice_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(constant_test)
{
migraphx::program p;
p.add_literal(migraphx::literal{migraphx::shape{migraphx::shape::float_type, {3}}, {0, 1, 2}});
auto prog = migraphx::parse_onnx("constant_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(constant_fill_test)
{
{
migraphx::program p;
auto l0 = p.add_literal(migraphx::literal{{migraphx::shape::int32_type, {2}}, {2, 3}});
std::vector<std::size_t> dims(l0->get_shape().elements());
migraphx::literal ls = l0->get_literal();
ls.visit([&](auto s) { dims.assign(s.begin(), s.end()); });
migraphx::shape s{migraphx::shape::float_type, dims};
std::vector<float> value(s.elements(), 1.0);
p.add_literal(migraphx::literal{s, value});
auto prog = migraphx::parse_onnx("const_fill1.onnx");
EXPECT(p == prog);
}
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 3}};
std::vector<float> value(s.elements(), 1.0);
p.add_literal(migraphx::literal{s, value});
auto prog = migraphx::parse_onnx("const_fill2.onnx");
EXPECT(p == prog);
}
}
TEST_CASE(gemm_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 7}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {11, 5}});
p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {}});
auto t0 = p.add_instruction(migraphx::op::transpose{{1, 0}}, l0);
auto t1 = p.add_instruction(migraphx::op::transpose{{1, 0}}, l1);
auto alpha = 2.f;
p.add_instruction(migraphx::op::dot{alpha}, t0, t1);
auto prog = migraphx::parse_onnx("gemm_test.onnx");
EXPECT(p == prog);
}
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 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);
auto prog = migraphx::parse_onnx("add_scalar_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(sub_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 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::sub{}, m0, m1);
auto prog = migraphx::parse_onnx("sub_scalar_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(group_conv_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 4, 16, 16}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {4, 1, 3, 3}});
migraphx::op::convolution op;
op.group = 4;
p.add_instruction(op, l0, l1);
migraphx::parse_onnx("group_conv_test.onnx");
}
TEST_CASE(pad_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 2}});
p.add_instruction(migraphx::op::pad{{1, 1, 1, 1}}, l0);
migraphx::parse_onnx("pad_test.onnx");
}
TEST_CASE(lrn_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 28, 24, 24}});
migraphx::op::lrn op;
op.size = 5;
op.alpha = 0.0001;
op.beta = 0.75;
op.bias = 1.0;
p.add_instruction(op, l0);
migraphx::parse_onnx("lrn_test.onnx");
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
 pad-example:T

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