Skip to content

GitLab

Unverified Commit 3ae5f9ed authored by Chris Austen's avatar Chris Austen Committed by GitHub
Browse files

Merge branch 'develop' into concat2

parents 6d5a34d2 785ff7d7
Hide whitespace changes
Inline Side-by-side
Showing with 1327 additions and 122 deletions
test/simplify_algebra_test.cpp
View file @ 3ae5f9ed
......@@ -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 @ 3ae5f9ed
......@@ -155,29 +155,187 @@ TEST_CASE(after_split_dyn_broadcast_match)
EXPECT(p0 == p1);
}
TEST_CASE(const_slice_3input)
TEST_CASE(const_slice_2input_ends_axes)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
auto slice_ins = m0.add_instruction(
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}, {"axes", {0}}}), input, input_starts);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_starts_axes)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"axes", {0}}}), input, input_ends);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_starts_ends)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m1.add_literal(migraphx::literal{s1, {0}});
auto input_ends = m1.add_literal(migraphx::literal{s1, {3}});
auto slice_ins = m1.add_instruction(
auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}}), input, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3input_axes_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"axes", {0}}}), input, input_starts, input_ends);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3input_ends_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}}), input, input_starts, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3inputs_starts_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}}), input, input_ends, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_ends_axes_dyn)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {{6, 6}, {2, 4, {2, 4}}, {2, 4, {2, 4}}}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}, {"axes", {0}}}), input, input_starts);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {{6, 6}, {2, 4, {2, 4}}, {2, 4, {2, 4}}}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
run_pass(m1);
EXPECT(m0 == m1);
}
......@@ -237,4 +395,180 @@ 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);
}
TEST_CASE(const_alloc_fill)
{
migraphx::module m0;
{
migraphx::shape val_shape{migraphx::shape::int64_type, {1}, {0}};
std::vector<int64_t> lit_data = {3};
auto value_lit = m0.add_literal(migraphx::literal{val_shape, lit_data});
migraphx::shape lit_s{migraphx::shape::int64_type, {3}};
auto output_dim_lit = m0.add_literal(migraphx::literal{lit_s, {3, 4, 4}});
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::int64_type}}),
output_dim_lit);
auto ret = m0.add_instruction(migraphx::make_op("fill"), value_lit, alloc_ins);
m0.add_return({ret});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape lit_shape{migraphx::shape::int64_type, {3, 4, 4}};
std::vector<int64_t> lit_data(3 * 4 * 4, 3);
auto ret = m1.add_literal(migraphx::literal{lit_shape, lit_data});
m1.add_return({ret});
}
EXPECT(m0 == m1);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/simplify_qdq_test.cpp
View file @ 3ae5f9ed
......@@ -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});
......@@ -495,6 +788,7 @@ TEST_CASE(conv_pooling_dot)
{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"lengths", {7, 7}},
{"dilations", {1, 1}},
{"ceil_mode", 0}}),
a1);
auto fl = m1.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
......@@ -519,22 +813,21 @@ 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 =
......@@ -543,12 +836,14 @@ TEST_CASE(conv_pooling_dot)
{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"lengths", {7, 7}},
{"dilations", {1, 1}},
{"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);
......@@ -603,6 +898,7 @@ TEST_CASE(mobilenet_snippet)
{"padding", {0, 0, 0, 0}},
{"stride", {1, 1}},
{"lengths", {7, 7}},
{"dilations", {1, 1}},
{"ceil_mode", 0}}),
d6);
auto q3 = add_quantize_op(mm, "quantizelinear", ap, scale, zero);
......
test/simplify_reshapes_test.cpp
View file @ 3ae5f9ed
......@@ -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 @ 3ae5f9ed
......@@ -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/gemm_softmax_gemm_relu.cpp 0 → 100644
View file @ 3ae5f9ed
/*
* 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>
struct gemm_softmax_gemm_relu : verify_program<gemm_softmax_gemm_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape m1_shape{migraphx::shape::half_type, {1, 12, 256, 256}};
migraphx::shape m2_shape{migraphx::shape::half_type, {1, 12, 256, 256}};
auto m2_elements = m2_shape.elements();
auto a = mm->add_parameter("1", m1_shape);
auto b = mm->add_parameter("2", m1_shape);
auto b1 = mm->add_parameter("3", m1_shape);
std::vector<float> eights(m2_elements, 0.125);
auto eight = mm->add_literal(migraphx::literal{m2_shape, eights});
std::vector<float> zeros(m2_elements, 0);
auto zero = mm->add_literal(migraphx::literal{m2_shape, zeros});
b = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), b);
auto gemm1 = mm->add_instruction(migraphx::make_op("dot"), a, b);
auto scale = mm->add_instruction(migraphx::make_op("mul"), gemm1, eight);
auto bias = mm->add_instruction(migraphx::make_op("add"), scale, zero);
auto softmax = mm->add_instruction(migraphx::make_op("softmax", {{"axis", 3}}), bias);
auto gemm2 = mm->add_instruction(migraphx::make_op("dot"), softmax, b1);
mm->add_instruction(migraphx::make_op("relu"), gemm2);
return p;
}
};
test/verify/test_avg_pooling_1d.cpp
View file @ 3ae5f9ed
......@@ -35,7 +35,7 @@ struct test_avg_pooling_1d : verify_program<test_avg_pooling_1d>
auto* mm = p.get_main_module();
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5}});
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {0}, {1}, {3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {0}, {1}, {3}, {1}};
mm->add_instruction(op, input);
return p;
}
......
test/verify/test_avg_pooling_3d.cpp
View file @ 3ae5f9ed
......@@ -36,7 +36,7 @@ struct test_avg_pooling_3d : verify_program<test_avg_pooling_3d>
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}};
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, {1, 1, 1}};
mm->add_instruction(op, input);
return p;
}
......
test/verify/test_avg_pooling_3d_opt.cpp
View file @ 3ae5f9ed
......@@ -36,7 +36,7 @@ struct test_avg_pooling_3d_opt : verify_program<test_avg_pooling_3d_opt>
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 2, 3, 3, 3}});
auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {0, 0, 0}, {1, 1, 1}, {3, 3, 3}};
migraphx::op::pooling_mode::average, {0, 0, 0}, {1, 1, 1}, {3, 3, 3}, {1, 1, 1}};
mm->add_instruction(op, input);
return p;
}
......
test/verify/test_avg_pooling_ceil_3d.cpp
View file @ 3ae5f9ed
......@@ -37,7 +37,7 @@ struct test_avg_pooling_ceil_3d : verify_program<test_avg_pooling_ceil_3d>
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, true};
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, {1, 1, 1}, true};
mm->add_instruction(op, input);
return p;
}
......
test/verify/test_avg_pooling_pad.cpp
View file @ 3ae5f9ed
......@@ -36,7 +36,7 @@ struct test_avg_pooling_pad : verify_program<test_avg_pooling_pad>
auto* mm = p.get_main_module();
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 7}});
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {2}, {1}, {3}};
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {2}, {1}, {3}, {1}};
mm->add_instruction(op, input);
return p;
}
......
test/verify/test_concat_pooling.cpp
View file @ 3ae5f9ed
......@@ -47,7 +47,8 @@ struct test_concat_pooling : verify_program<test_concat_pooling>
{{"mode", migraphx::op::pooling_mode::average},
{"padding", {0, 0}},
{"stride", {1, 1}},
{"lengths", {8, 8}}}),
{"lengths", {8, 8}},
{"dilations", {1, 1}}}),
concat_t);
mm->add_instruction(migraphx::make_op("relu"), pooling);
return p;
......
test/verify/test_conv_bn_relu_pooling.cpp
View file @ 3ae5f9ed
......@@ -76,7 +76,8 @@ struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling>
{{"mode", migraphx::op::pooling_mode::average},
{"padding", {1, 1}},
{"stride", {2, 2}},
{"lengths", {3, 3}}}),
{"lengths", {3, 3}},
{"dilations", {1, 1}}}),
relu);
return p;
}
......
test/verify/test_conv_bn_relu_pooling2.cpp
View file @ 3ae5f9ed
......@@ -92,7 +92,8 @@ struct test_conv_bn_relu_pooling2 : verify_program<test_conv_bn_relu_pooling2>
{{"mode", migraphx::op::pooling_mode::average},
{"padding", {1, 1}},
{"stride", {2, 2}},
{"lengths", {3, 3}}}),
{"lengths", {3, 3}},
{"dilations", {1, 1}}}),
relu);
return p;
}
......
test/verify/test_lstm_bidirct_3args_layout.cpp 0 → 100644
View file @ 3ae5f9ed
/*
* 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 @ 3ae5f9ed
/*
* 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 @ 3ae5f9ed
/*
* 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 @ 3ae5f9ed
/*
* 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 @ 3ae5f9ed
/*
* 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 @ 3ae5f9ed
/*
* 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"; }
};
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