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Unverified Commit 85d93d23 authored by Cagri Eryilmaz's avatar Cagri Eryilmaz Committed by GitHub
Browse files

Step op for parse_slice.cpp (#858)



* slice+step+reverse: parsing + onnxfile + test

* cleanup

* updates for step operator, abs axis

* test updates

* updates to tests

* slice+reverse verify test

* verify test for slice+step+reverse

* clang format

* reverse with lens

* simplify normalize_compute_shape

* step op: normalization for axes

* clang format

* change of order: fixing wrong functionality in some cases

* test for slice,reverse,step

* clang format
Co-authored-by: default avatarPaul Fultz II <pfultz2@yahoo.com>
parent 57c474cc
......@@ -39,9 +39,7 @@ struct reverse
shape normalize_compute_shape(std::vector<shape> inputs) const
{
auto lens = inputs[0].lens();
auto type = inputs[0].type();
return shape{type, lens};
return inputs[0].with_lens(inputs[0].lens());
}
argument compute(const shape& s, std::vector<argument> args) const
......
......@@ -7,6 +7,7 @@
#include <migraphx/argument.hpp>
#include <migraphx/functional.hpp>
#include <migraphx/config.hpp>
#include <migraphx/op/normalize_attribute.hpp>
#include <cmath>
#include <utility>
......@@ -25,8 +26,15 @@ struct step
return pack(f(self.axes, "axes"), f(self.steps, "steps"));
}
value attributes() const
{
value normalize;
normalize["axes"] = value::array{normalize_attribute::include_min};
return {{"normalize_axes", normalize}};
}
std::string name() const { return "step"; }
shape compute_shape(std::vector<shape> inputs) const
shape normalize_compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
auto input = inputs.at(0);
......
......@@ -29,10 +29,6 @@ struct parse_slice : op_parser<parse_slice>
migraphx::argument step_arg = args.back()->eval();
check_arg_empty(step_arg, "PARSE_SLICE: cannot handle variable steps for slice");
step_arg.visit([&](auto s) { steps.assign(s.begin(), s.end()); });
if(!std::all_of(steps.begin(), steps.end(), [](auto s) { return abs(s) == 1; }))
{
MIGRAPHX_THROW("PARSE_SLICE: cannot handle step other than 1 or -1");
}
}
if(args.size() >= 4)
......@@ -98,7 +94,16 @@ struct parse_slice : op_parser<parse_slice>
auto ins = info.add_instruction(op, args[0]);
if(not raxes.empty())
return info.add_instruction(make_op("reverse", {{"axes", raxes}}), ins);
ins = info.add_instruction(make_op("reverse", {{"axes", raxes}}), ins);
if(std::any_of(steps.begin(), steps.end(), [](auto s) { return std::abs(s) != 1; }))
{
std::vector<int64_t> nsteps;
std::transform(steps.begin(), steps.end(), std::back_inserter(nsteps), [](auto s) {
return std::abs(s);
});
return ins = info.add_instruction(
make_op("step", {{"axes", op.axes}, {"steps", nsteps}}), ins);
}
else
return ins;
}
......
......@@ -3584,7 +3584,7 @@ def slice_5arg_reverse_test():
outputs=['arg_axis'],
value=axis_tensor)
end = np.array([-1, -1])
end = np.array([-5, -1])
end_tensor = helper.make_tensor(name="end",
data_type=TensorProto.INT32,
dims=end.shape,
......@@ -3594,7 +3594,60 @@ def slice_5arg_reverse_test():
outputs=['arg_end'],
value=end_tensor)
start = np.array([-5, -3])
start = np.array([-1, -3])
start_tensor = helper.make_tensor(name="start",
data_type=TensorProto.INT32,
dims=start.shape,
vals=start.astype(int))
arg_start = helper.make_node("Constant",
inputs=[],
outputs=['arg_start'],
value=start_tensor)
x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [5, 5])
y = helper.make_tensor_value_info('1', TensorProto.FLOAT, [4, 2])
node = onnx.helper.make_node(
'Slice',
inputs=['0', 'arg_start', 'arg_end', 'arg_axis', 'arg_step'],
outputs=['1'])
return ([arg_step, arg_axis, arg_end, arg_start, node], [x], [y])
@onnx_test
def slice_5arg_step_test():
step = np.array([-2, 2])
step_tensor = helper.make_tensor(name="step",
data_type=TensorProto.INT32,
dims=step.shape,
vals=step.astype(int))
arg_step = helper.make_node("Constant",
inputs=[],
outputs=['arg_step'],
value=step_tensor)
axis = np.array([-1, -2])
axis_tensor = helper.make_tensor(name="axis",
data_type=TensorProto.INT32,
dims=axis.shape,
vals=axis.astype(int))
arg_axis = helper.make_node("Constant",
inputs=[],
outputs=['arg_axis'],
value=axis_tensor)
end = np.array([-5, -1])
end_tensor = helper.make_tensor(name="end",
data_type=TensorProto.INT32,
dims=end.shape,
vals=end.astype(int))
arg_end = helper.make_node("Constant",
inputs=[],
outputs=['arg_end'],
value=end_tensor)
start = np.array([-1, -3])
start_tensor = helper.make_tensor(name="start",
data_type=TensorProto.INT32,
dims=start.shape,
......
......@@ -3314,10 +3314,11 @@ TEST_CASE(slice_5arg_reverse_test)
auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, 1}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -2}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -1}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -3}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -1}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -3}});
auto slice_out = mm->add_instruction(
migraphx::make_op("slice", {{"axes", {-1, -2}}, {"starts", {0, -3}}, {"ends", {-4, -1}}}),
migraphx::make_op("slice",
{{"axes", {-1, -2}}, {"starts", {-4, -3}}, {"ends", {2147483647, -1}}}),
l0);
auto ret = mm->add_instruction(migraphx::make_op("reverse", {{"axes", {-1}}}), slice_out);
mm->add_return({ret});
......@@ -3327,6 +3328,30 @@ TEST_CASE(slice_5arg_reverse_test)
EXPECT(p == prog);
}
TEST_CASE(slice_5arg_step_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-2, 2}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -2}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -1}});
mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -3}});
auto slice_out = mm->add_instruction(
migraphx::make_op("slice",
{{"axes", {-1, -2}}, {"starts", {-4, -3}}, {"ends", {2147483647, -1}}}),
l0);
auto reverse_out =
mm->add_instruction(migraphx::make_op("reverse", {{"axes", {-1}}}), slice_out);
auto step_out = mm->add_instruction(
migraphx::make_op("step", {{"axes", {-1, -2}}, {"steps", {2, 2}}}), reverse_out);
mm->add_return({step_out});
auto prog = migraphx::parse_onnx("slice_5arg_step_test.onnx");
EXPECT(p == prog);
}
TEST_CASE(slice_max_end_test)
{
migraphx::program p;
......
......@@ -4,9 +4,9 @@
Barg_axis"Constant*,
value* *Baxis
@arg_end"Constant*+
value**Bend
value**Bend
D arg_start"Constant*-
value*!*Bstart
value*!*Bstart
5
0
arg_start
......
slice_5arg_step_test:
9arg_step"Constant*#
value** Bstep
Barg_axis"Constant*,
value* *Baxis
@arg_end"Constant*+
value**Bend
D arg_start"Constant*-
value*!*Bstart
5
0
arg_start
arg_end
arg_axis
arg_step1"Sliceslice_5arg_step_testZ
0


b
1


B
\ No newline at end of file
slice_5arg_test:
slice_5arg_test:
0arg_step"Constant*
value**Bstep
Barg_axis"Constant*,
......@@ -20,4 +20,4 @@ D arg_start"Constant*-
1


B
\ No newline at end of file
B
\ No newline at end of file
......@@ -408,6 +408,85 @@ TEST_CASE(selu_test)
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(slice_test)
{
migraphx::program p = migraphx::parse_onnx("slice_test.onnx");
p.compile(migraphx::ref::target{});
migraphx::shape sh_data{migraphx::shape::float_type, {3, 2}};
std::vector<float> data = {0, 1, 2, 3, 4, 5};
migraphx::parameter_map pp;
pp["0"] = migraphx::argument(sh_data, data.data());
auto result = p.eval(pp).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {2, 3};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(slice_5arg_test)
{
migraphx::program p = migraphx::parse_onnx("slice_5arg_test.onnx");
p.compile(migraphx::ref::target{});
migraphx::shape sh_data{migraphx::shape::float_type, {5, 5}}; // start
std::vector<float> data = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
migraphx::parameter_map pp;
pp["0"] = migraphx::argument(sh_data, data.data());
auto result = p.eval(pp).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {10, 11, 12, 13, 15, 16, 17, 18};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(slice_reverse_test)
{
migraphx::program p = migraphx::parse_onnx("slice_5arg_reverse_test.onnx");
p.compile(migraphx::ref::target{});
migraphx::shape sh_data{migraphx::shape::float_type, {5, 5}}; // start
std::vector<float> data = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
migraphx::parameter_map pp;
pp["0"] = migraphx::argument(sh_data, data.data());
auto result = p.eval(pp).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {14, 13, 12, 11, 19, 18, 17, 16};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(slice_step_test)
{
migraphx::program p = migraphx::parse_onnx("slice_5arg_step_test.onnx");
p.compile(migraphx::ref::target{});
migraphx::shape sh_data{migraphx::shape::float_type, {5, 5}}; // start
std::vector<float> data = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
migraphx::parameter_map pp;
pp["0"] = migraphx::argument(sh_data, data.data());
auto result = p.eval(pp).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {14, 12};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(upsample_test)
{
migraphx::program p = migraphx::parse_onnx("upsample_test.onnx");
......
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct test_slice_reverse : verify_program<test_slice_reverse>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {3, 5}};
auto x = mm->add_parameter("x", s);
auto slice_out = mm->add_instruction(
migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 2}}, {"ends", {2, -1}}}),
x);
mm->add_instruction(migraphx::make_op("reverse", {{"axes", {0}}}), slice_out);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct test_slice_reverse_step : verify_program<test_slice_reverse_step>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {7, 5}};
auto x = mm->add_parameter("x", s);
auto slice_out = mm->add_instruction(
migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 2}}, {"ends", {2, -1}}}),
x);
auto step_out =
mm->add_instruction(migraphx::make_op("reverse", {{"axes", {0, 1}}}), slice_out);
mm->add_instruction(migraphx::make_op("step", {{"axes", {0, 1}}, {"steps", {2, 2}}}),
step_out);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/make_op.hpp>
struct test_slice_step_reverse : verify_program<test_slice_step_reverse>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {7, 5}};
auto x = mm->add_parameter("x", s);
auto slice_out = mm->add_instruction(
migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 2}}, {"ends", {2, -1}}}),
x);
auto step_out = mm->add_instruction(
migraphx::make_op("step", {{"axes", {0, 1}}, {"steps", {2, 2}}}), slice_out);
mm->add_instruction(migraphx::make_op("reverse", {{"axes", {0}}}), step_out);
return p;
}
};
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