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Commit f69d828d authored by Manupa Karunaratne's avatar Manupa Karunaratne
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Merge branch 'develop' of https://github.com/ROCmSoftwarePlatform/AMDMIGraphX into mlir-attention

parents fe36d210 24148857
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test/ref/slice.cpp
View file @ f69d828d
......@@ -157,7 +157,169 @@ TEST_CASE(slice_var_inputs_static2)
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn)
TEST_CASE(slice_var_inputs_dyn0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}, {"ends", {10}}}), input, starts);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> start_data = {1};
params["input"] = migraphx::argument(s2, input_data.data());
params["starts"] = migraphx::argument(s1, start_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto ends = mm->add_parameter("ends", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}, {"starts", {-5}}}), input, ends);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> ends_data = {3};
params["input"] = migraphx::argument(s2, input_data.data());
params["ends"] = migraphx::argument(s1, ends_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
std::vector<int> results_vector(2 * 2 * 3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto axes = mm->add_parameter("axes", s1);
mm->add_instruction(migraphx::make_op("slice", {{"starts", {1}}, {"ends", {-1}}}), input, axes);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> axes_data = {2};
params["input"] = migraphx::argument(s2, input_data.data());
params["axes"] = migraphx::argument(s1, axes_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 4, 7, 10};
std::vector<int> results_vector(2 * 2 * 1);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn3)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
auto ends = mm->add_parameter("ends", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}}), input, starts, ends);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> starts_data = {1};
std::vector<int> ends_data = {std::numeric_limits<int>::max()};
params["input"] = migraphx::argument(s2, input_data.data());
params["starts"] = migraphx::argument(s1, starts_data.data());
params["ends"] = migraphx::argument(s1, ends_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn4)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
auto axes = mm->add_parameter("axes", s1);
mm->add_instruction(migraphx::make_op("slice", {{"ends", {std::numeric_limits<int>::max()}}}),
input,
starts,
axes);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> starts_data = {1};
std::vector<int> axes_data = {2};
params["input"] = migraphx::argument(s2, input_data.data());
params["starts"] = migraphx::argument(s1, starts_data.data());
params["axes"] = migraphx::argument(s1, axes_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn5)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto ends = mm->add_parameter("ends", s1);
auto axes = mm->add_parameter("axes", s1);
mm->add_instruction(migraphx::make_op("slice", {{"starts", {-4}}}), input, ends, axes);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> ends_data = {2};
std::vector<int> axes_data = {2};
params["input"] = migraphx::argument(s2, input_data.data());
params["ends"] = migraphx::argument(s1, ends_data.data());
params["axes"] = migraphx::argument(s1, axes_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {0, 1, 3, 4, 6, 7, 9, 10};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn6)
{
migraphx::program p;
auto* mm = p.get_main_module();
......
test/simplify_algebra_test.cpp
View file @ f69d828d
......@@ -1897,12 +1897,17 @@ TEST_CASE(simplify_split_add_relu_reshape)
auto concatb = m2.add_instruction(b, concat);
auto sum = m2.add_instruction(migraphx::make_op("add"), input, concatb);
auto relu = m2.add_instruction(migraphx::make_op("relu"), sum);
auto rsp = m2.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 8}}}), relu);
auto slc1 = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {1}}, {"starts", {0}}, {"ends", {4}}}), rsp);
migraphx::make_op("slice", {{"axes", {1}}, {"starts", {0}}, {"ends", {1}}}), relu);
auto rsp1 = m2.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4}}}), slc1);
auto slc2 = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {1}}, {"starts", {4}}, {"ends", {8}}}), rsp);
auto add = m2.add_instruction(migraphx::make_op("add"), slc1, slc2);
migraphx::make_op("slice", {{"axes", {1}}, {"starts", {1}}, {"ends", {2}}}), relu);
auto rsp2 = m2.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4}}}), slc2);
auto add = m2.add_instruction(migraphx::make_op("add"), rsp1, rsp2);
m2.add_instruction(pass_op{}, add);
}
EXPECT(m1.sort() == m2.sort());
......@@ -2323,9 +2328,7 @@ TEST_CASE(simplify_dot_horiz_reshape)
migraphx::make_op("slice", {{"axes", {2}}, {"starts", {0}}, {"ends", {4}}}), dot);
auto y = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {2}}, {"starts", {4}}, {"ends", {8}}}), dot);
auto x_cont = m2.add_instruction(migraphx::make_op("contiguous"), x);
auto x_rsp =
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4, 2, 2}}}), x_cont);
auto x_rsp = m2.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4, 2, 2}}}), x);
auto y_rsp =
m2.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {2}}}), y);
auto sum = m2.add_instruction(migraphx::make_op("add"), {x_rsp, y_rsp});
......@@ -2688,12 +2691,8 @@ void reorder_reshape_slice()
{
s = migraphx::shape{migraphx::shape::float_type, {BS, 128, 1920}, {165120, 1, 128}};
}
auto input = m2.add_parameter("input", s);
auto rsp_input = input;
if(TransposeInput)
{
rsp_input = m2.add_instruction(migraphx::make_op("contiguous"), {input});
}
auto input = m2.add_parameter("input", s);
auto rsp_input = input;
std::vector<int64_t> lens = {static_cast<int64_t>(BS), 128, 30, 64};
auto r = m2.add_instruction(migraphx::make_op("reshape", {{"dims", lens}}), rsp_input);
......@@ -2976,9 +2975,8 @@ TEST_CASE(reorder_reshape_slice_multi_rsp)
auto input = m2.add_parameter("input", s);
auto t1 = m2.add_instruction(
migraphx::make_op("transpose", {{"permutation", {2, 0, 3, 1, 4}}}), input);
auto c_t1 = m2.add_instruction(migraphx::make_op("contiguous"), t1);
auto rsp1 =
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {384, 128, 80}}}), c_t1);
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {384, 128, 80}}}), t1);
auto slc0 = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {0}}, {"starts", {256}}, {"ends", {384}}}), rsp1);
auto slc1 = m2.add_instruction(
......@@ -2993,9 +2991,8 @@ TEST_CASE(reorder_reshape_slice_multi_rsp)
auto dot = m2.add_instruction(migraphx::make_op("dot"), slc2, c_t_slc1);
auto c_t1_1 = m2.add_instruction(migraphx::make_op("contiguous"), t1);
auto rsp2 =
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {12, 32, 128, 80}}}), c_t1_1);
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {12, 32, 128, 80}}}), t1);
auto slc2_1 = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {0}}, {"starts", {4}}, {"ends", {8}}}), rsp2);
......@@ -3372,9 +3369,8 @@ TEST_CASE(dot_fusion_reshape)
auto s1 = m2.add_instruction(
migraphx::make_op("slice", {{"axes", {2}}, {"starts", {320}}, {"ends", {640}}}), d);
auto cont0 = m2.add_instruction(migraphx::make_op("contiguous"), s0);
auto r0 =
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {2, 4096, 8, 40}}}), cont0);
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {2, 4096, 8, 40}}}), s0);
m2.add_return({r0, s1});
};
......
test/simplify_dyn_ops_test.cpp
View file @ f69d828d
......@@ -237,4 +237,153 @@ TEST_CASE(const_slice_4input)
EXPECT(m0 == m1);
}
TEST_CASE(static_dimensions_of0)
{
// dead_code_elimination will get rid of atan
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {2, 4, 4}};
auto input = m0.add_parameter("data", s);
auto atan_ins = m0.add_instruction(migraphx::make_op("atan"), input);
auto dimensions_of_ins =
m0.add_instruction(migraphx::make_op("dimensions_of", {{"end", 3}}), atan_ins);
m0.add_return({dimensions_of_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {2, 4, 4}};
m1.add_parameter("data", s);
migraphx::shape lit_shape{migraphx::shape::int64_type, {3}};
std::vector<int64_t> lit_data = {2, 4, 4};
auto lit_ins = m1.add_literal(migraphx::literal{lit_shape, lit_data});
m1.add_return({lit_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(static_dimensions_of1)
{
// dead_code_elimination will get rid of atan
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {{2, 4, {2, 4}}, {4, 4}, {4, 4}}};
auto input = m0.add_parameter("data", s);
auto atan_ins = m0.add_instruction(migraphx::make_op("atan"), input);
auto dimensions_of_ins = m0.add_instruction(
migraphx::make_op("dimensions_of", {{"start", 1}, {"end", 3}}), atan_ins);
m0.add_return({dimensions_of_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {{2, 4, {2, 4}}, {4, 4}, {4, 4}}};
m1.add_parameter("data", s);
migraphx::shape lit_shape{migraphx::shape::int64_type, {2}};
std::vector<int64_t> lit_data = {4, 4};
auto lit_ins = m1.add_literal(migraphx::literal{lit_shape, lit_data});
m1.add_return({lit_ins});
}
EXPECT(m0 == m1);
}
// Does nothing because the dynamic_dimensions from start to end
// are not all fixed
TEST_CASE(static_dimensions_of_nonfixed)
{
// dead_code_elimination will get rid of atan
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {{2, 4, {2, 4}}, {4, 8}, {4, 8}}};
auto input = m0.add_parameter("data", s);
auto atan_ins = m0.add_instruction(migraphx::make_op("atan"), input);
auto dimensions_of_ins = m0.add_instruction(
migraphx::make_op("dimensions_of", {{"start", 1}, {"end", 3}}), atan_ins);
m0.add_return({dimensions_of_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {{2, 4, {2, 4}}, {4, 8}, {4, 8}}};
auto input = m1.add_parameter("data", s);
auto atan_ins = m1.add_instruction(migraphx::make_op("atan"), input);
auto dimensions_of_ins = m1.add_instruction(
migraphx::make_op("dimensions_of", {{"start", 1}, {"end", 3}}), atan_ins);
m1.add_return({dimensions_of_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(constant_alloc_reshape)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {3, 32}};
auto input = m0.add_parameter("data", s);
migraphx::shape lit_s{migraphx::shape::int64_type, {3}};
auto literal_ins = m0.add_literal(migraphx::literal{lit_s, {3, 4, 8}});
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::float_type}}),
literal_ins);
auto reshape_ins = m0.add_instruction(migraphx::make_op("reshape"), input, alloc_ins);
m0.add_return({reshape_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {3, 32}};
auto input = m1.add_parameter("data", s);
auto reshape_ins =
m1.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4, 8}}}), input);
m1.add_return({reshape_ins});
}
EXPECT(m0 == m1);
}
// A more contrived example to test static dimensions_of and constant reshape
TEST_CASE(static_dimensions_of_to_constant_alloc_reshape)
{
migraphx::module m0;
{
migraphx::shape input_shape{migraphx::shape::float_type, {3, 4, 8}};
auto x_param = m0.add_parameter("x", input_shape);
auto dimensions_of_ins =
m0.add_instruction(migraphx::make_op("dimensions_of", {{"end", 3}}), x_param);
migraphx::shape lit_shape{migraphx::shape::int64_type, {1}};
auto lit0 = m0.add_literal(migraphx::literal{lit_shape, {0}});
auto gather_ins =
m0.add_instruction(migraphx::make_op("gather", {{"axis", 0}}), dimensions_of_ins, lit0);
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {1}}, {"ends", {3}}, {"axes", {0}}}),
dimensions_of_ins);
auto reduce_ins =
m0.add_instruction(migraphx::make_op("reduce_prod", {{"axes", {0}}}), slice_ins);
auto concat_ins =
m0.add_instruction(migraphx::make_op("concat", {{"axis", 0}}), gather_ins, reduce_ins);
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::float_type}}), concat_ins);
auto reshape_ins = m0.add_instruction(migraphx::make_op("reshape"), x_param, alloc_ins);
m0.add_return({reshape_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {3, 4, 8}};
auto x_param = m1.add_parameter("x", s);
auto reshape_ins =
m1.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 32}}}), x_param);
m1.add_return({reshape_ins});
}
EXPECT(m0 == m1);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/simplify_qdq_test.cpp
View file @ f69d828d
......@@ -44,20 +44,34 @@ void run_pass(migraphx::module& m)
sqdq.apply(m);
}
migraphx::instruction_ref add_quantize_op(migraphx::module& m,
const std::string& name,
migraphx::instruction_ref x,
migraphx::instruction_ref broadcast_scale(migraphx::module& m,
migraphx::instruction_ref scale,
migraphx::instruction_ref shift)
const std::vector<std::size_t>& out_lens,
std::size_t axis)
{
auto lens = x->get_shape().lens();
if(scale->get_shape().lens() == out_lens)
return scale;
migraphx::instruction_ref scale_mb;
if(scale->get_shape().lens().front() == 1)
auto scale_lens = scale->get_shape().lens();
if(scale_lens.front() == 1 and scale_lens.size() == 1)
scale_mb =
m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), scale);
m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", out_lens}}), scale);
else
scale_mb = m.add_instruction(
migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", lens}}), scale);
migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", out_lens}}), scale);
return scale_mb;
}
migraphx::instruction_ref add_quantize_op(migraphx::module& m,
const std::string& name,
migraphx::instruction_ref x,
migraphx::instruction_ref scale,
migraphx::instruction_ref shift,
std::size_t q_axis = 1)
{
auto lens = x->get_shape().lens();
auto scale_mb = broadcast_scale(m, scale, lens, q_axis);
auto shift_mb =
m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), shift);
return m.add_instruction(migraphx::make_op(name), x, scale_mb, shift_mb);
......@@ -66,19 +80,26 @@ migraphx::instruction_ref add_quantize_op(migraphx::module& m,
migraphx::instruction_ref add_quantize_op(migraphx::module& m,
const std::string& name,
migraphx::instruction_ref x,
migraphx::instruction_ref scale)
migraphx::instruction_ref scale,
std::size_t q_axis = 1)
{
auto lens = x->get_shape().lens();
migraphx::instruction_ref scale_mb;
if(scale->get_shape().lens().front() == 1)
scale_mb =
m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), scale);
else
scale_mb = m.add_instruction(
migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", lens}}), scale);
auto lens = x->get_shape().lens();
auto scale_mb = broadcast_scale(m, scale, lens, q_axis);
return m.add_instruction(migraphx::make_op(name), x, scale_mb);
}
migraphx::instruction_ref add_scale_mul(migraphx::module& m,
migraphx::instruction_ref scale1,
migraphx::instruction_ref scale2,
std::size_t axis1,
std::size_t axis2,
const std::vector<std::size_t>& out_lens)
{
auto scale1_mb = broadcast_scale(m, scale1, out_lens, axis1);
auto scale2_mb = broadcast_scale(m, scale2, out_lens, axis2);
return m.add_instruction(migraphx::make_op("mul"), scale1_mb, scale2_mb);
}
TEST_CASE(remove_qdq)
{
migraphx::shape sh1{migraphx::shape::float_type, {100, 100}};
......@@ -159,18 +180,62 @@ TEST_CASE(dot)
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2);
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
m2.add_return({d3});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(dot_multi_scale)
{
migraphx::shape sh1{migraphx::shape::float_type, {1280, 1000}};
migraphx::shape sh2{migraphx::shape::float_type, {1000, 1024}};
migraphx::shape sh3{migraphx::shape::float_type, {1280}};
migraphx::module m1;
{
auto t1 = m1.add_parameter("t1", sh1);
auto t2 = m1.add_parameter("t2", sh2);
auto scale1 = m1.add_literal(migraphx::generate_literal(sh3, 0));
auto scale2 = m1.add_literal(0.4f);
auto zero = m1.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m1, "quantizelinear", t1, scale1, zero, 0);
auto d1 = add_quantize_op(m1, "dequantizelinear", q1, scale1, zero, 0);
auto q2 = add_quantize_op(m1, "quantizelinear", t2, scale2, zero, 1);
auto d2 = add_quantize_op(m1, "dequantizelinear", q2, scale2, zero, 1);
auto dot = m1.add_instruction(migraphx::make_op("dot"), d1, d2);
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto scale = m2.add_literal(0.5f);
auto scale1 = m2.add_literal(migraphx::generate_literal(sh3, 0));
auto scale2 = m2.add_literal(0.4f);
auto zero = m2.add_literal(std::int8_t{0});
auto scale1 = m2.add_literal(0.25f);
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2);
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, scale1);
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale1, zero, 0);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale2, zero, 1);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2);
auto out_scale = add_scale_mul(m2, scale1, scale2, 0, 1, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
m2.add_return({d3});
}
......@@ -178,6 +243,180 @@ TEST_CASE(dot)
EXPECT(m1 == m2);
}
TEST_CASE(dot_broadcasted)
{
migraphx::shape sh1{migraphx::shape::float_type, {2, 1280, 1000}};
migraphx::shape sh2{migraphx::shape::float_type, {1000, 1024}};
migraphx::module m1;
{
auto t1 = m1.add_parameter("t1", sh1);
auto t2 = m1.add_parameter("t2", sh2);
auto scale = m1.add_literal(0.5f);
auto zero = m1.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m1, "quantizelinear", t1, scale, zero);
auto d1 = add_quantize_op(m1, "dequantizelinear", q1, scale, zero);
auto q2 = add_quantize_op(m1, "quantizelinear", t2, scale, zero);
auto d2 = add_quantize_op(m1, "dequantizelinear", q2, scale, zero);
auto d2_mb = m1.add_instruction(
migraphx::make_op("multibroadcast", {{"out_lens", {2, 1000, 1024}}}), d2);
auto dot = m1.add_instruction(migraphx::make_op("dot"), d1, d2_mb);
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto q2_mb = m2.add_instruction(
migraphx::make_op("multibroadcast", {{"out_lens", {2, 1000, 1024}}}), q2);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2_mb);
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
m2.add_return({d3});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(dot_transposed)
{
migraphx::shape sh1{migraphx::shape::float_type, {1280, 1000}};
migraphx::shape sh2{migraphx::shape::float_type, {1024, 1000}};
migraphx::module m1;
{
auto t1 = m1.add_parameter("t1", sh1);
auto t2 = m1.add_parameter("t2", sh2);
auto scale = m1.add_literal(0.5f);
auto zero = m1.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m1, "quantizelinear", t1, scale, zero);
auto d1 = add_quantize_op(m1, "dequantizelinear", q1, scale, zero);
auto q2 = add_quantize_op(m1, "quantizelinear", t2, scale, zero);
auto d2 = add_quantize_op(m1, "dequantizelinear", q2, scale, zero);
auto d2_t =
m1.add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), d2);
auto dot = m1.add_instruction(migraphx::make_op("dot"), d1, d2_t);
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto q2_t =
m2.add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), q2);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2_t);
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
m2.add_return({d3});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(dot_multi_scale_transposed_broadcasted)
{
migraphx::shape sh1{migraphx::shape::float_type, {2, 3, 1280, 1000}};
migraphx::shape sh2{migraphx::shape::float_type, {1024, 1000}};
migraphx::shape sh3{migraphx::shape::float_type, {1280}};
migraphx::shape sh4{migraphx::shape::float_type, {1024}};
migraphx::module m1;
{
auto t1 = m1.add_parameter("t1", sh1);
auto t2 = m1.add_parameter("t2", sh2);
auto scale1 = m1.add_literal(migraphx::generate_literal(sh3, 0));
auto scale2 = m1.add_literal(migraphx::generate_literal(sh4, 0));
auto zero = m1.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m1, "quantizelinear", t1, scale1, zero, 2);
auto d1 = add_quantize_op(m1, "dequantizelinear", q1, scale1, zero, 2);
auto q2 = add_quantize_op(m1, "quantizelinear", t2, scale2, zero, 0);
auto d2 = add_quantize_op(m1, "dequantizelinear", q2, scale2, zero, 0);
auto d2_t =
m1.add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), d2);
auto d2_mb = m1.add_instruction(
migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 1000, 1024}}}), d2_t);
auto dot = m1.add_instruction(migraphx::make_op("dot"), d1, d2_mb);
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto scale1 = m2.add_literal(migraphx::generate_literal(sh3, 0));
auto scale2 = m2.add_literal(migraphx::generate_literal(sh4, 0));
auto zero = m2.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale1, zero, 2);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale2, zero, 0);
auto q2_t =
m2.add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), q2);
auto q2_mb = m2.add_instruction(
migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 1000, 1024}}}), q2_t);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2_mb);
auto out_scale = add_scale_mul(m2, scale1, scale2, 2, 3, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
m2.add_return({d3});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(dot_multi_scale_unsupported_axis)
{
migraphx::shape sh1{migraphx::shape::float_type, {1280, 1000}};
migraphx::shape sh2{migraphx::shape::float_type, {1000, 1024}};
migraphx::shape sh3{migraphx::shape::float_type, {1000}};
migraphx::module m1;
{
auto t1 = m1.add_parameter("t1", sh1);
auto t2 = m1.add_parameter("t2", sh2);
auto scale1 = m1.add_literal(migraphx::generate_literal(sh3, 0));
auto scale2 = m1.add_literal(0.4f);
auto zero = m1.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m1, "quantizelinear", t1, scale1, zero, 1);
auto d1 = add_quantize_op(m1, "dequantizelinear", q1, scale1, zero, 1);
auto q2 = add_quantize_op(m1, "quantizelinear", t2, scale2, zero, 1);
auto d2 = add_quantize_op(m1, "dequantizelinear", q2, scale2, zero, 1);
auto dot = m1.add_instruction(migraphx::make_op("dot"), d1, d2);
m1.add_return({dot});
}
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto dot = m2.add_instruction(migraphx::make_op("dot"), t1, t2);
m2.add_return({dot});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(dot_non_zero_point)
{
migraphx::shape sh1{migraphx::shape::float_type, {1280, 1000}};
......@@ -269,18 +508,18 @@ TEST_CASE(dot_add)
migraphx::module m2;
{
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto ab = m2.add_parameter("ab", sh3);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto scale1 = m2.add_literal(0.25f);
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2);
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, scale1);
auto add = m2.add_instruction(migraphx::make_op("add"), d3, ab);
auto t1 = m2.add_parameter("t1", sh1);
auto t2 = m2.add_parameter("t2", sh2);
auto ab = m2.add_parameter("ab", sh3);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto q1 = add_quantize_op(m2, "quantizelinear", t1, scale, zero);
auto q2 = add_quantize_op(m2, "quantizelinear", t2, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q1, q2);
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, dot->get_shape().lens());
auto d3 = add_quantize_op(m2, "dequantizelinear", dot, out_scale);
auto add = m2.add_instruction(migraphx::make_op("add"), d3, ab);
m2.add_return({add});
}
......@@ -320,26 +559,80 @@ TEST_CASE(conv)
auto weights = m2.add_parameter("weights", s4);
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto scale1 = m2.add_literal(0.25f);
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
q1,
weights);
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, c1->get_shape().lens());
auto d6 = add_quantize_op(m2, "dequantizelinear", c1, out_scale);
m2.add_return({d6});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(conv_multi_scale)
{
migraphx::shape s4{migraphx::shape::int8_type, {1280, 320, 1, 1}};
migraphx::shape s7{migraphx::shape::float_type, {1, 320, 7, 7}};
migraphx::shape s8{migraphx::shape::float_type, {1280}};
migraphx::module m1;
{
auto input = m1.add_parameter("input", s7);
auto weights = m1.add_parameter("weights", s4);
auto w_scale = m1.add_literal(migraphx::generate_literal(s8, 0));
auto inp_scale = m1.add_literal(0.5f);
auto zero = m1.add_literal(std::int8_t{0});
auto d1 = add_quantize_op(m1, "dequantizelinear", weights, w_scale, zero, 0);
auto q1 = add_quantize_op(m1, "quantizelinear", input, inp_scale, zero);
auto d5 = add_quantize_op(m1, "dequantizelinear", q1, inp_scale, zero);
auto c1 = m1.add_instruction(migraphx::make_op("convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
q1,
d5,
d1);
m1.add_return({c1});
}
migraphx::module m2;
{
auto input = m2.add_parameter("input", s7);
auto weights = m2.add_parameter("weights", s4);
auto w_scale = m2.add_literal(migraphx::generate_literal(s8, 0));
auto inp_scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto q_inp = add_quantize_op(m2, "quantizelinear", input, inp_scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
q_inp,
weights);
auto d6 = add_quantize_op(m2, "dequantizelinear", c1, scale1);
m2.add_return({d6});
auto out_scale = add_scale_mul(m2, inp_scale, w_scale, 1, 1, c1->get_shape().lens());
auto d1 = add_quantize_op(m2, "dequantizelinear", c1, out_scale);
m2.add_return({d1});
}
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(conv_multi_scale)
TEST_CASE(conv_multi_scale_unsupported_axis)
{
migraphx::shape s4{migraphx::shape::int8_type, {1280, 320, 1, 1}};
migraphx::shape s7{migraphx::shape::float_type, {1, 320, 7, 7}};
......@@ -430,20 +723,20 @@ TEST_CASE(conv_bias_add)
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto zero32 = m2.add_literal(std::int32_t{0});
auto scale1 = m2.add_literal(0.25f);
auto d2 = add_quantize_op(m2, "dequantizelinear", bias, scale, zero32);
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
auto d2 = add_quantize_op(m2, "dequantizelinear", bias, scale, zero32);
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
q1,
weights);
auto d6 = add_quantize_op(m2, "dequantizelinear", c1, scale1);
auto b1 = m2.add_instruction(
auto out_scale = add_scale_mul(m2, scale, scale, 1, 1, c1->get_shape().lens());
auto d6 = add_quantize_op(m2, "dequantizelinear", c1, out_scale);
auto b1 = m2.add_instruction(
migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 1280, 7, 7}}}), d2);
auto a1 = m2.add_instruction(migraphx::make_op("add"), d6, b1);
m2.add_return({a1});
......@@ -519,22 +812,21 @@ TEST_CASE(conv_pooling_dot)
auto scale = m2.add_literal(0.5f);
auto zero = m2.add_literal(std::int8_t{0});
auto zero32 = m2.add_literal(std::int32_t{0});
auto scale1 = m2.add_literal(0.25f);
auto scale2 = m2.add_literal(0.25f);
auto d2 = add_quantize_op(m2, "dequantizelinear", bias, scale, zero32);
auto d3 = add_quantize_op(m2, "dequantizelinear", ab, scale, zero);
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
auto d2 = add_quantize_op(m2, "dequantizelinear", bias, scale, zero32);
auto d3 = add_quantize_op(m2, "dequantizelinear", ab, scale, zero);
auto q1 = add_quantize_op(m2, "quantizelinear", input, scale, zero);
auto c1 = m2.add_instruction(migraphx::make_op("quant_convolution",
{{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"dilation", {1, 1}},
{"group", 1},
{"padding_mode", 0}}),
q1,
weights);
auto d5 = add_quantize_op(m2, "dequantizelinear", c1, scale1);
auto bc1 = m2.add_instruction(
auto out_scale1 = add_scale_mul(m2, scale, scale, 1, 1, c1->get_shape().lens());
auto d5 = add_quantize_op(m2, "dequantizelinear", c1, out_scale1);
auto bc1 = m2.add_instruction(
migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 1280, 7, 7}}}), d2);
auto a1 = m2.add_instruction(migraphx::make_op("add"), d5, bc1);
auto ap =
......@@ -545,10 +837,11 @@ TEST_CASE(conv_pooling_dot)
{"lengths", {7, 7}},
{"ceil_mode", 0}}),
a1);
auto fl = m2.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
auto q4 = add_quantize_op(m2, "quantizelinear", fl, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q4, db);
auto d9 = add_quantize_op(m2, "dequantizelinear", dot, scale2);
auto fl = m2.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
auto q4 = add_quantize_op(m2, "quantizelinear", fl, scale, zero);
auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q4, db);
auto out_scale2 = add_scale_mul(m2, scale, scale, 1, 0, dot->get_shape().lens());
auto d9 = add_quantize_op(m2, "dequantizelinear", dot, out_scale2);
auto mb1 =
m2.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 1000}}}), d3);
auto a2 = m2.add_instruction(migraphx::make_op("add"), d9, mb1);
......
test/simplify_reshapes_test.cpp
View file @ f69d828d
......@@ -888,9 +888,8 @@ TEST_CASE(optimize_resize)
std::vector<int64_t> mb_dims = {1, 2, 2, 2, 2, 3};
auto mbx =
m.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", mb_dims}}), rspx);
auto std_mb = m.add_instruction(migraphx::make_op("contiguous"), mbx);
std::vector<int64_t> orig_dims = {1, 2, 4, 6};
auto rmb = m.add_instruction(migraphx::make_op("reshape", {{"dims", orig_dims}}), std_mb);
auto rmb = m.add_instruction(migraphx::make_op("reshape", {{"dims", orig_dims}}), mbx);
auto r = m.add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), rmb);
m.add_return({r});
......@@ -1300,10 +1299,9 @@ TEST_CASE(transpose_contiguous_reshape_unary)
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 2, 2, 5, 5}}}), x);
auto transpose_ins = m2.add_instruction(
migraphx::make_op("transpose", {{"permutation", {0, 3, 4, 1, 5, 2}}}), reshape_ins1);
auto relu = m2.add_instruction(migraphx::make_op("relu"), transpose_ins);
auto cont_ins = m2.add_instruction(migraphx::make_op("contiguous"), relu);
auto relu = m2.add_instruction(migraphx::make_op("relu"), transpose_ins);
auto reshape_ins2 =
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 10, 10}}}), cont_ins);
m2.add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 10, 10}}}), relu);
m2.add_instruction(pass_op{}, reshape_ins2);
}
EXPECT(m1 == m2);
......@@ -1328,8 +1326,7 @@ TEST_CASE(transpose_contiguous_squeeze_unary)
auto transpose_ins =
m2.add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 3, 1}}}), x);
auto rsqrt = m2.add_instruction(migraphx::make_op("rsqrt"), transpose_ins);
auto cont_ins = m2.add_instruction(migraphx::make_op("contiguous"), rsqrt);
auto sq_ins = m2.add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), cont_ins);
auto sq_ins = m2.add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), rsqrt);
m2.add_instruction(pass_op{}, sq_ins);
}
EXPECT(m1 == m2);
......@@ -1345,7 +1342,7 @@ TEST_CASE(transpose_contiguous_unsqueeze_unary)
auto cont_ins = m1.add_instruction(migraphx::make_op("contiguous"), transpose_ins);
auto unsq_ins =
m1.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), cont_ins);
auto round = m1.add_instruction(migraphx::make_op("round"), unsq_ins);
auto round = m1.add_instruction(migraphx::make_op("nearbyint"), unsq_ins);
m1.add_instruction(pass_op{}, round);
}
run_pass(m1);
......@@ -1354,10 +1351,8 @@ TEST_CASE(transpose_contiguous_unsqueeze_unary)
auto x = m2.add_parameter("x", {migraphx::shape::float_type, {2, 8, 5, 5}});
auto transpose_ins =
m2.add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 3, 1}}}), x);
auto round = m2.add_instruction(migraphx::make_op("round"), transpose_ins);
auto cont_ins = m2.add_instruction(migraphx::make_op("contiguous"), round);
auto unsq_ins =
m2.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), cont_ins);
auto round = m2.add_instruction(migraphx::make_op("nearbyint"), transpose_ins);
auto unsq_ins = m2.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), round);
m2.add_instruction(pass_op{}, unsq_ins);
}
EXPECT(m1 == m2);
......
test/verify/test_round.cpp → test/verify/gemm_2args_mm_8.cpp
View file @ f69d828d
......@@ -27,16 +27,21 @@
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct test_round : verify_program<test_round>
struct gemm_2args_mm_8 : verify_program<gemm_2args_mm_8>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::float_type, {2, 128, 32}, {4096, 1, 128}};
migraphx::shape b_shape{migraphx::shape::float_type, {32, 32}};
auto a = mm->add_parameter("a", a_shape);
auto b = mm->add_parameter("b", b_shape);
auto bb = mm->add_instruction(
migraphx::make_op("multibroadcast", {{"out_lens", {2, 32, 32}}}), b);
mm->add_instruction(migraphx::make_op("dot"), a, bb);
migraphx::shape s{migraphx::shape::float_type, {2, 3, 4, 6}};
auto param = mm->add_parameter("x", s);
mm->add_instruction(migraphx::make_op("round"), param);
return p;
};
}
};
test/verify/test_isinf.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <limits>
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
template <class T>
struct test_isinf : verify_program<test_isinf<T>>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
auto max = std::numeric_limits<T>::max();
auto min = std::numeric_limits<T>::min();
auto inf = std::numeric_limits<T>::infinity();
auto nan = std::numeric_limits<T>::quiet_NaN();
auto x = mm->add_parameter("x", migraphx::shape{migraphx::shape::get_type<T>(), {5}});
std::vector<T> data0{inf, -inf, max, min, nan};
migraphx::shape s1{migraphx::shape::get_type<T>(), {5}};
auto l0 = mm->add_literal(migraphx::literal{s1, data0});
x = mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), x, l0);
mm->add_instruction(migraphx::make_op("isinf"), x);
return p;
}
};
template struct test_isinf<migraphx::half>;
template struct test_isinf<float>;
test/verify/test_isinf_broadcast.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <limits>
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct test_isinf_broadcast : verify_program<test_isinf_broadcast>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
auto x = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2}});
auto s0 = migraphx::shape{migraphx::shape::float_type, {2, 2}};
x = mm->add_instruction(
migraphx::make_op("broadcast", {{"axis", 0}, {"out_lens", s0.lens()}}), x);
auto inf = std::numeric_limits<float>::infinity();
std::vector<float> data0{-inf, inf};
migraphx::shape s1{migraphx::shape::float_type, {1, 2}};
auto l0 = mm->add_literal(migraphx::literal{s1, data0});
x = mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), x, l0);
mm->add_instruction(migraphx::make_op("isinf"), x);
return p;
}
};
test/verify/test_lstm_bidirct_3args_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_bidirct_3args_layout : verify_program<test_lstm_bidirct_3args_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 2;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
auto hs = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
{"clip", clip}}),
seq,
w,
r);
std::vector<int64_t> perm_hid{2, 0, 1, 3};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm_hid}}), hs);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_bidirct_last_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_bidirct_last_layout : verify_program<test_lstm_bidirct_last_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 2;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 8 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape ic_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape pph_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
auto bias = mm->add_parameter("bias", b_shape);
auto ih = mm->add_parameter("ih", ih_shape);
auto ic = mm->add_parameter("ic", ic_shape);
auto pph = mm->add_parameter("pph", pph_shape);
auto und = mm->add_instruction(migraphx::make_op("undefined"));
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
ih = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ih);
ic = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ic);
auto output = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
{"clip", clip}}),
seq,
w,
r,
bias,
und,
ih,
ic,
pph);
auto last_output = mm->add_instruction(migraphx::make_op("rnn_last_hs_output"), output);
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), last_output);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_forward_hs_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_forward_hs_layout : verify_program<test_lstm_forward_hs_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 8 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape ic_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape pph_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
auto bias = mm->add_parameter("bias", b_shape);
auto ih = mm->add_parameter("ih", ih_shape);
auto ic = mm->add_parameter("ic", ic_shape);
auto pph = mm->add_parameter("pph", pph_shape);
auto und = mm->add_instruction(migraphx::make_op("undefined"));
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
ih = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ih);
ic = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ic);
auto hs = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
{"clip", clip}}),
seq,
w,
r,
bias,
und,
ih,
ic,
pph);
std::vector<int64_t> perm_hid{2, 0, 1, 3};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm_hid}}), hs);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_forward_last_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_forward_last_layout : verify_program<test_lstm_forward_last_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 8 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape l_shape{migraphx::shape::int32_type, {batch_size}};
migraphx::shape ic_shape{migraphx::shape::float_type, {batch_size, num_dirct, hidden_size}};
migraphx::shape pph_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
auto bias = mm->add_parameter("bias", b_shape);
auto ih = mm->add_parameter("ih", ih_shape);
auto len = mm->add_literal(migraphx::literal(l_shape, {1, 2}));
auto ic = mm->add_parameter("ic", ic_shape);
auto pph = mm->add_parameter("pph", pph_shape);
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
ih = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ih);
ic = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), ic);
auto output = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
{"clip", clip}}),
seq,
w,
r,
bias,
len,
ih,
ic,
pph);
auto last_output =
mm->add_instruction(migraphx::make_op("rnn_last_hs_output"), output, len);
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), last_output);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_reverse_3args_cell_output_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_reverse_3args_cell_layout : verify_program<test_lstm_reverse_3args_cell_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
auto hs = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::reverse)},
{"clip", clip}}),
seq,
w,
r);
auto cell_output = mm->add_instruction(migraphx::make_op("rnn_last_cell_output"), hs);
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), cell_output);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_reverse_3args_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_reverse_3args_layout : verify_program<test_lstm_reverse_3args_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
auto hs = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::reverse)},
{"clip", clip}}),
seq,
w,
r);
std::vector<int64_t> perm_hid{2, 0, 1, 3};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm_hid}}), hs);
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_lstm_three_outputs_layout.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
struct test_lstm_three_outputs_layout : verify_program<test_lstm_three_outputs_layout>
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 8;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape in_shape{migraphx::shape::float_type, {batch_size, seq_len, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 4 * hidden_size, hidden_size}};
auto seq = mm->add_parameter("seq", in_shape);
auto w = mm->add_parameter("w", w_shape);
auto r = mm->add_parameter("r", r_shape);
std::vector<int64_t> perm{1, 0, 2};
seq = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), seq);
auto hs = mm->add_instruction(
migraphx::make_op(
"lstm",
{{"hidden_size", hidden_size},
{"actv_func",
migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("sigmoid"),
migraphx::make_op("tanh"),
migraphx::make_op("tanh")})},
{"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
{"clip", clip}}),
seq,
w,
r);
auto last_hs = mm->add_instruction(migraphx::make_op("rnn_last_hs_output"), hs);
auto last_cell = mm->add_instruction(migraphx::make_op("rnn_last_cell_output"), hs);
std::vector<int64_t> perm_hid{2, 0, 1, 3};
hs = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm_hid}}), hs);
last_hs =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), last_hs);
last_cell =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), last_cell);
mm->add_return({hs, last_hs, last_cell});
return p;
}
std::string section() const { return "rnn"; }
};
test/verify/test_nearbyint.cpp 0 → 100644
View file @ f69d828d
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
template <class T>
struct test_nearbyint : verify_program<test_nearbyint<T>>
{
migraphx::program create_program() const
{
migraphx::program p;
std::vector<float> tmp{-4.5, -3.5, 0.5, 2.5, 3.5};
std::vector<T> data{tmp.cbegin(), tmp.cend()};
migraphx::shape s1{migraphx::shape::get_type<T>(), {5}};
auto* mm = p.get_main_module();
auto l0 = mm->add_literal(migraphx::literal{s1, data});
mm->add_instruction(migraphx::make_op("isinf"), l0);
return p;
};
};
template struct test_nearbyint<migraphx::half>;
template struct test_nearbyint<float>;
tools/accuracy/requirements.txt
View file @ f69d828d
......@@ -22,4 +22,4 @@
# THE SOFTWARE.
#####################################################################################
numpy==1.21.6
onnxruntime==1.16.1
onnxruntime==1.16.3
tools/api/api.cpp
View file @ f69d828d
......@@ -164,6 +164,11 @@ void set_default_loop_iterations(onnx_options& options, int64_t value)
options.max_loop_iterations = value;
}
void set_limit_loop_iterations(onnx_options& options, int64_t value)
{
options.limit_max_iterations = value;
}
void set_nhwc(tf_options& options, bool is_nhwc) { options.is_nhwc = is_nhwc; }
void set_default_dim_value(tf_options& options, size_t value) { options.batch_size = value; }
......
tools/api/migraphx.h
View file @ f69d828d
......@@ -44,7 +44,8 @@
m(int32_type, int32_t) \
m(int64_type, int64_t) \
m(uint32_type, uint32_t) \
m(uint64_type, uint64_t)
m(uint64_type, uint64_t) \
m(fp8e4m3fnuz_type, migraphx::fp8::fp8e4m3fnuz)
// clang-format on
#ifdef __cplusplus
......@@ -70,7 +71,9 @@ typedef enum
} migraphx_shape_datatype_t;
#undef MIGRAPHX_SHAPE_GENERATE_ENUM_TYPES
<% generate_c_header() %>
<%
generate_c_header()
%>
#ifdef __cplusplus
}
......
tools/docker/ubuntu_2204.dockerfile
View file @ f69d828d
......@@ -90,11 +90,6 @@ RUN pip3 install yapf==0.28.0
ADD docs/.sphinx/requirements.txt /doc-requirements.txt
RUN pip3 install -r /doc-requirements.txt
# Download real models to run onnx unit tests
ENV ONNX_HOME=/.onnx
COPY ./tools/download_models.sh /
RUN /download_models.sh && rm /download_models.sh
# Install latest ccache version
RUN cget -p $PREFIX install facebook/zstd@v1.4.5 -X subdir -DCMAKE_DIR=build/cmake
RUN cget -p $PREFIX install ccache@v4.1 -DENABLE_TESTING=OFF
......
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