Skip to content

GitLab

Unverified Commit be08a05d authored by Paul Fultz II's avatar Paul Fultz II Committed by GitHub
Browse files

Merge branch 'develop' into jit-contiguous

parents 25fcef27 a401e72a
Hide whitespace changes
Inline Side-by-side
Showing with 24 additions and 28 deletions
test/onnx/onnx_test.cpp
View file @ be08a05d
......@@ -3831,7 +3831,6 @@ TEST_CASE(reshape_non_standard_test)
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::op::reshape op;
std::vector<int64_t> reshape_dims{4, 3, 2};
migraphx::shape s{migraphx::shape::float_type, {2, 3, 4}};
auto x = mm->add_parameter("x", s);
auto tran_x =
......
test/ref_rnn_ops_test.cpp 100755 → 100644
View file @ be08a05d
......@@ -1173,12 +1173,6 @@ TEST_CASE(gru_forward_args)
0.3852, -0.1170, -0.2937, 0.2979, -0.1357, 0.4257, 0.3884, -0.2916, 0.1071, 0.0934,
0.3645, -0.4310, -0.3480, 0.0702, -0.1558};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
......@@ -1199,9 +1193,6 @@ TEST_CASE(gru_forward_args)
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// 3 args
......@@ -1242,6 +1233,11 @@ TEST_CASE(gru_forward_args)
// 4 args (bias is used)
{
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input});
......@@ -1280,6 +1276,9 @@ TEST_CASE(gru_forward_args)
// 4 args (ih is used)
{
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input});
......@@ -2210,15 +2209,6 @@ TEST_CASE(gru_bidirectional_args)
0.4101, 0.2641, -0.4110, -0.1681, 0.3582, -0.2089, 0.0852, 0.0963, 0.3866, 0.1955,
-0.2174, 0.1996, -0.2252, 0.1748, 0.1833, -0.3155, 0.2567, -0.4387, 0.3402, 0.0599};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
-0.1582, -0.0826, 0.4008, 0.0118, 0.2511, 0.1900, -0.2838, 0.2549, -0.2484, 0.2363,
-0.4083, -0.0295, -0.1161, 0.1211, 0.2509, -0.1414, -0.2628, -0.2992, 0.1517, 0.1817,
-0.2783, 0.3183, -0.1629, -0.3108, -0.3418, 0.0411, 0.2203, 0.2187, -0.2990, -0.0416,
0.0209, -0.1024, 0.4443, -0.4420, -0.0330, -0.3591, -0.2990, 0.2167, 0.1395, 0.2317,
0.1318, 0.1909, -0.3615, 0.1953, -0.2582, -0.2217, 0.3723, 0.1458, 0.2630, -0.0377,
0.1754, 0.0800, -0.3964, -0.3247, 0.4219, -0.0900, 0.3553, 0.2614, -0.1298, -0.1124};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
......@@ -2239,11 +2229,6 @@ TEST_CASE(gru_bidirectional_args)
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348,
0.4178, 1.0175, 0.9212, -0.0468, 0.5691, -0.0882, 0.8340,
0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// 3 args
......@@ -2288,6 +2273,15 @@ TEST_CASE(gru_bidirectional_args)
// 4 args (bias is used)
{
std::vector<float> bias_data{
-0.1582, -0.0826, 0.4008, 0.0118, 0.2511, 0.1900, -0.2838, 0.2549, -0.2484,
0.2363, -0.4083, -0.0295, -0.1161, 0.1211, 0.2509, -0.1414, -0.2628, -0.2992,
0.1517, 0.1817, -0.2783, 0.3183, -0.1629, -0.3108, -0.3418, 0.0411, 0.2203,
0.2187, -0.2990, -0.0416, 0.0209, -0.1024, 0.4443, -0.4420, -0.0330, -0.3591,
-0.2990, 0.2167, 0.1395, 0.2317, 0.1318, 0.1909, -0.3615, 0.1953, -0.2582,
-0.2217, 0.3723, 0.1458, 0.2630, -0.0377, 0.1754, 0.0800, -0.3964, -0.3247,
0.4219, -0.0900, 0.3553, 0.2614, -0.1298, -0.1124};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input});
......@@ -2330,6 +2324,10 @@ TEST_CASE(gru_bidirectional_args)
// 4 args (ih is used)
{
std::vector<float> ih_data{-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348,
0.4178, 1.0175, 0.9212, -0.0468, 0.5691, -0.0882, 0.8340,
0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input});
......@@ -4186,7 +4184,6 @@ TEST_CASE(lstm_bidirectional_var_seq_lens)
-0.83699064, 0.49162736, -0.8271, -0.5683, 0.4562,
-1.2545, 1.2729, -0.4082, -0.4392, -0.9406,
0.7794, 1.8194, -0.5811, 0.2166};
std::vector<int> sl_data{1, 2, 3};
float clip = 0.0f;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
......@@ -4196,10 +4193,11 @@ TEST_CASE(lstm_bidirectional_var_seq_lens)
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::shape ic_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::shape pph_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size}};
migraphx::shape sl_shape{migraphx::shape::int32_type, {batch_size}};
// concatenation of hidden states as program output
{
std::vector<int> sl_data{1, 2, 3};
migraphx::shape sl_shape{migraphx::shape::int32_type, {batch_size}};
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input_data});
......
test/verify/run_verify.cpp
View file @ be08a05d
......@@ -129,7 +129,6 @@ void run_verify::verify(const std::string& name, const migraphx::program& p) con
auto_print::set_terminate_handler(name);
if(migraphx::enabled(MIGRAPHX_DUMP_TEST{}))
migraphx::save(p, name + ".mxr");
std::vector<std::pair<std::string, result_future>> results;
std::vector<std::string> target_names;
for(const auto& tname : migraphx::get_targets())
{
......@@ -145,6 +144,7 @@ void run_verify::verify(const std::string& name, const migraphx::program& p) con
}
if(not target_names.empty())
{
std::vector<std::pair<std::string, result_future>> results;
migraphx::parameter_map m;
for(auto&& x : p.get_parameter_shapes())
{
......
test/verify/test_conv_bias_clipped_relu.cpp
View file @ be08a05d
......@@ -12,7 +12,6 @@ struct test_conv_bias_clipped_relu : verify_program<test_conv_bias_clipped_relu>
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<size_t> input_lens{4, 3, 3, 3};
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto weights =
......
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