"llama/patches/0010-fix-string-arr-kv-loading.patch" did not exist on "c7f4ae7b9c8976b4d50c59eb87e9582ea9c5c82f"
Unverified Commit a6fa5e4b authored by Chris Austen's avatar Chris Austen Committed by GitHub
Browse files

Merge branch 'develop' into enable_navi_32_ci

parents b7a7cd3c 7604ecf5
#####################################################################################
# The MIT License (MIT)
#
# Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
# 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
......@@ -21,11 +21,8 @@
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#####################################################################################
import migraphx, sys
try:
import numpy as np
except:
sys.exit()
import migraphx
import numpy as np
def test_add_op():
......
......@@ -147,3 +147,37 @@ TEST_CASE(argmax_test_nonstd_shape)
res_gold.visit([&](auto output) { res_gold_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold_vec));
}
TEST_CASE(argmax_test_select_last_index_0)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data = {2.0305, -1.853, 2.0305, -1.5706, 0.7545, 0.7545};
std::vector<int64_t> res_gold = {2, 2};
migraphx::shape data_shape{migraphx::shape::float_type, {2, 3}};
auto dl = mm->add_literal(migraphx::literal{data_shape, data});
mm->add_instruction(migraphx::make_op("argmax", {{"axis", 1}, {"select_last_index", true}}),
dl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold));
}
TEST_CASE(argmax_test_select_last_index_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data = {2.0305, -1.853, 2.0305, -1.5706, 0.7545, 0.7545};
std::vector<int64_t> res_gold = {0, 1};
migraphx::shape data_shape{migraphx::shape::float_type, {2, 3}};
auto dl = mm->add_literal(migraphx::literal{data_shape, data});
mm->add_instruction(migraphx::make_op("argmax", {{"axis", 1}, {"select_last_index", false}}),
dl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold));
}
......@@ -125,3 +125,37 @@ TEST_CASE(argmin_test_nonstd_shape)
res_gold.visit([&](auto output) { res_gold_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold_vec));
}
TEST_CASE(argmin_test_select_last_index_0)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data = {-2.0305, 0.853, -2.0305, 1.5706, 0.7545, 0.7545};
std::vector<int64_t> res_gold = {2, 2};
migraphx::shape data_shape{migraphx::shape::float_type, {2, 3}};
auto dl = mm->add_literal(migraphx::literal{data_shape, data});
mm->add_instruction(migraphx::make_op("argmin", {{"axis", 1}, {"select_last_index", true}}),
dl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold));
}
TEST_CASE(argmin_test_select_last_index_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data = {-2.0305, 0.853, -2.0305, 1.5706, 0.7545, 0.7545};
std::vector<int64_t> res_gold = {0, 1};
migraphx::shape data_shape{migraphx::shape::float_type, {2, 3}};
auto dl = mm->add_literal(migraphx::literal{data_shape, data});
mm->add_instruction(migraphx::make_op("argmin", {{"axis", 1}, {"select_last_index", false}}),
dl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(result_vec, res_gold));
}
......@@ -153,7 +153,7 @@ TEST_CASE(reshape_test2)
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(reshape_dyn_test)
TEST_CASE(reshape_dyn_1in_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
......@@ -173,3 +173,79 @@ TEST_CASE(reshape_dyn_test)
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(reshape_2in_test0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s_in{migraphx::shape::float_type, {{1, 4}, {24, 24}, {1, 1}, {1, 1}}};
migraphx::shape s_out{migraphx::shape::float_type, {{1, 4}, {6, 6}, {4, 4}, {1, 1}}};
auto input = mm->add_parameter("X", s_in);
auto output_buffer = mm->add_parameter("Y", s_out);
mm->add_instruction(migraphx::make_op("reshape"), input, output_buffer);
p.compile(migraphx::make_target("ref"));
std::vector<float> gold(48);
std::iota(gold.begin(), gold.end(), -3.);
std::vector<float> buffer(48);
std::iota(buffer.begin(), buffer.end(), 0.);
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 24, 1, 1}};
migraphx::shape output_fixed_shape{migraphx::shape::float_type, {2, 6, 4, 1}};
params["X"] = migraphx::argument(input_fixed_shape, gold.data());
params["Y"] = migraphx::argument(output_fixed_shape, buffer.data());
auto result = p.eval(params).back();
EXPECT(result.get_shape() == output_fixed_shape);
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(reshape_2in_test1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s_in{migraphx::shape::float_type, {2, 24, 1, 1}};
migraphx::shape s_out{migraphx::shape::float_type, {{2, 4}, {6, 6}, {2, 4}, {1, 1}}};
auto input = mm->add_parameter("X", s_in);
auto output_buffer = mm->add_parameter("Y", s_out);
mm->add_instruction(migraphx::make_op("reshape"), input, output_buffer);
p.compile(migraphx::make_target("ref"));
std::vector<float> gold(48);
std::iota(gold.begin(), gold.end(), -3.);
std::vector<float> buffer(48);
std::iota(buffer.begin(), buffer.end(), 0.);
migraphx::parameter_map params;
migraphx::shape output_fixed_shape{migraphx::shape::float_type, {2, 6, 4, 1}};
params["X"] = migraphx::argument(s_in, gold.data());
params["Y"] = migraphx::argument(output_fixed_shape, buffer.data());
auto result = p.eval(params).back();
EXPECT(result.get_shape() == output_fixed_shape);
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_rms_range(results_vector, gold));
}
TEST_CASE(reshape_2in_elements_runtime_error)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s_in{migraphx::shape::float_type, {2, 24, 1, 1}};
migraphx::shape s_out{migraphx::shape::float_type, {{2, 4}, {6, 6}, {2, 4}, {1, 1}}};
auto input = mm->add_parameter("X", s_in);
auto output_buffer = mm->add_parameter("Y", s_out);
mm->add_instruction(migraphx::make_op("reshape"), input, output_buffer);
p.compile(migraphx::make_target("ref"));
std::vector<float> gold(48);
std::iota(gold.begin(), gold.end(), -3.);
std::vector<float> buffer(48);
std::iota(buffer.begin(), buffer.end(), 0.);
migraphx::parameter_map params;
// elements do not match up
migraphx::shape output_fixed_shape{migraphx::shape::float_type, {2, 6, 2, 1}};
params["X"] = migraphx::argument(s_in, gold.data());
params["Y"] = migraphx::argument(output_fixed_shape, buffer.data());
EXPECT(test::throws([&] { std::ignore = p.eval(params).back(); }));
}
......@@ -54,7 +54,7 @@ struct allocate_no_out : migraphx::auto_register_op<allocate_no_out>
const migraphx::shape& output_shape,
const std::vector<migraphx::argument>&) const
{
return {output_shape};
return migraphx::argument{output_shape};
}
};
......@@ -78,7 +78,7 @@ struct allocate_with_out : migraphx::auto_register_op<allocate_with_out>
const migraphx::shape& output_shape,
const std::vector<migraphx::argument>&) const
{
return {output_shape};
return migraphx::argument{output_shape};
}
};
......
......@@ -31,10 +31,13 @@
#include <migraphx/ranges.hpp>
#include <test.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/env.hpp>
#include <migraphx/serialize.hpp>
#include <migraphx/pass_manager.hpp>
MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_ENABLE_CK_WORKAROUNDS);
bool is_quantizelinear(migraphx::instruction& ins) { return ins.name() == "quantizelinear"; }
bool is_dequantizelinear(migraphx::instruction& ins) { return ins.name() == "dequantizelinear"; }
bool is_clip_scalar(migraphx::instruction& ins)
......@@ -82,7 +85,11 @@ TEST_CASE(quantizelinear)
EXPECT(any_of(*p1.get_main_module(), &is_quantizelinear));
EXPECT(none_of(*p2.get_main_module(), &is_quantizelinear));
// ensure clip literals created in quantized program are scalar
EXPECT(any_of(*p2.get_main_module(), &is_clip_scalar));
// unless CK workarounds are enabled
if(migraphx::enabled(MIGRAPHX_ENABLE_CK_WORKAROUNDS{}))
EXPECT(none_of(*p2.get_main_module(), &is_clip_scalar));
else
EXPECT(any_of(*p2.get_main_module(), &is_clip_scalar));
}
TEST_CASE(dequantizelinear)
......
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
* 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
......@@ -669,6 +669,23 @@ TEST_CASE(simplify_inner_broadcast_different_broadcasts)
EXPECT(m1 == m2);
}
TEST_CASE(simplify_inner_broadcast_no_common_axis)
{
auto b = migraphx::make_op("multibroadcast", {{"out_lens", {1, 5, 10}}});
migraphx::module m1;
{
auto x = m1.add_parameter("x", {migraphx::shape::int32_type, {5, 10}});
auto y = m1.add_parameter("y", {migraphx::shape::int32_type, {1, 5, 1}});
auto xb = m1.add_instruction(b, x);
auto yb = m1.add_instruction(b, y);
auto sum = m1.add_instruction(migraphx::make_op("add"), xb, yb);
m1.add_instruction(pass_op{}, sum);
}
migraphx::module m2 = m1;
run_pass(m1);
EXPECT(m1 == m2);
}
TEST_CASE(simplify_add_conv1)
{
migraphx::module m;
......
......@@ -67,6 +67,57 @@ migraphx::module make_concat_multibroadcast(const std::vector<size_t>& in_lens,
return m;
}
TEST_CASE(broadcast_transpose)
{
migraphx::module m1;
{
auto l = m1.add_parameter("x", {migraphx::shape::float_type, {5}});
auto mb =
m1.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 5}}}), l);
auto t1 =
m1.add_instruction(migraphx::make_op("transpose", {{"permutation", {2, 0, 1}}}), mb);
m1.add_return({t1});
}
run_pass(m1);
migraphx::module m2;
{
auto l = m2.add_parameter("x", {migraphx::shape::float_type, {5}});
auto u1 = m2.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0, 1}}}), l);
auto t1 =
m2.add_instruction(migraphx::make_op("transpose", {{"permutation", {2, 0, 1}}}), u1);
auto mb =
m2.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5, 2, 3}}}), t1);
m2.add_return({mb});
}
EXPECT(m1 == m2);
}
TEST_CASE(broadcast_transpose_opt)
{
// extra transpose from transformation will be optimized out
migraphx::module m1;
{
auto l = m1.add_parameter("x", {migraphx::shape::float_type, {5}});
auto mb =
m1.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 5}}}), l);
auto t1 =
m1.add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0, 2}}}), mb);
m1.add_return({t1});
}
run_pass(m1);
migraphx::module m2;
{
auto l = m2.add_parameter("x", {migraphx::shape::float_type, {5}});
auto u1 = m2.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0, 1}}}), l);
auto mb =
m2.add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 2, 5}}}), u1);
m2.add_return({mb});
}
EXPECT(m1 == m2);
}
TEST_CASE(broadcast_transpose_scalar)
{
migraphx::module m1;
......
/*
* 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 ck_gemm_softmax_gemm : verify_program<ck_gemm_softmax_gemm>
{
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", -1}}), bias);
mm->add_instruction(migraphx::make_op("dot"), softmax, b1);
return p;
}
};
......@@ -44,8 +44,7 @@ MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_DUMP_TEST)
// An improved async, that doesn't block
template <class Function>
std::future<typename std::result_of<Function()>::type> detach_async(Function&& f,
bool parallel = true)
std::future<std::invoke_result_t<Function>> detach_async(Function&& f, bool parallel = true)
{
if(parallel)
{
......
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
* 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
......@@ -29,8 +29,8 @@
#include <migraphx/op/argmax.hpp>
#include <migraphx/op/argmin.hpp>
template <class T, int Axis, int NonStdShape>
struct test_arg_ops : verify_program<test_arg_ops<T, Axis, NonStdShape>>
template <class T, int Axis, bool LastIndex, int NonStdShape>
struct test_arg_ops : verify_program<test_arg_ops<T, Axis, LastIndex, NonStdShape>>
{
migraphx::program create_program() const
{
......@@ -54,63 +54,111 @@ struct test_arg_ops : verify_program<test_arg_ops<T, Axis, NonStdShape>>
break;
default: break;
}
mm->add_instruction(T{Axis}, param);
mm->add_instruction(T{Axis, LastIndex}, param);
return p;
}
};
// transpose argmax tests
template struct test_arg_ops<migraphx::op::argmax, 0, 0>;
template struct test_arg_ops<migraphx::op::argmax, 1, 0>;
template struct test_arg_ops<migraphx::op::argmax, 2, 0>;
template struct test_arg_ops<migraphx::op::argmax, 3, 0>;
template struct test_arg_ops<migraphx::op::argmax, -1, 0>;
template struct test_arg_ops<migraphx::op::argmax, -2, 0>;
template struct test_arg_ops<migraphx::op::argmax, 0, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, 0, false, 0>;
template struct test_arg_ops<migraphx::op::argmax, 1, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, 1, false, 0>;
template struct test_arg_ops<migraphx::op::argmax, 2, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, 2, false, 0>;
template struct test_arg_ops<migraphx::op::argmax, 3, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, 3, false, 0>;
template struct test_arg_ops<migraphx::op::argmax, -1, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, -1, false, 0>;
template struct test_arg_ops<migraphx::op::argmax, -2, true, 0>;
template struct test_arg_ops<migraphx::op::argmax, -2, false, 0>;
// transpose argmin tests
template struct test_arg_ops<migraphx::op::argmin, 0, 0>;
template struct test_arg_ops<migraphx::op::argmin, 1, 0>;
template struct test_arg_ops<migraphx::op::argmin, 2, 0>;
template struct test_arg_ops<migraphx::op::argmin, 3, 0>;
template struct test_arg_ops<migraphx::op::argmin, -3, 0>;
template struct test_arg_ops<migraphx::op::argmin, -4, 0>;
template struct test_arg_ops<migraphx::op::argmin, 0, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, 0, false, 0>;
template struct test_arg_ops<migraphx::op::argmin, 1, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, 1, false, 0>;
template struct test_arg_ops<migraphx::op::argmin, 2, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, 2, false, 0>;
template struct test_arg_ops<migraphx::op::argmin, 3, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, 3, false, 0>;
template struct test_arg_ops<migraphx::op::argmin, -3, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, -3, false, 0>;
template struct test_arg_ops<migraphx::op::argmin, -4, true, 0>;
template struct test_arg_ops<migraphx::op::argmin, -4, false, 0>;
// broadcast argmax tests
template struct test_arg_ops<migraphx::op::argmax, 0, 1>;
template struct test_arg_ops<migraphx::op::argmax, 1, 1>;
template struct test_arg_ops<migraphx::op::argmax, 2, 1>;
template struct test_arg_ops<migraphx::op::argmax, 3, 1>;
template struct test_arg_ops<migraphx::op::argmax, -1, 1>;
template struct test_arg_ops<migraphx::op::argmax, -2, 1>;
template struct test_arg_ops<migraphx::op::argmax, 0, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, 0, false, 1>;
template struct test_arg_ops<migraphx::op::argmax, 1, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, 1, false, 1>;
template struct test_arg_ops<migraphx::op::argmax, 2, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, 2, false, 1>;
template struct test_arg_ops<migraphx::op::argmax, 3, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, 3, false, 1>;
template struct test_arg_ops<migraphx::op::argmax, -1, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, -1, false, 1>;
template struct test_arg_ops<migraphx::op::argmax, -2, true, 1>;
template struct test_arg_ops<migraphx::op::argmax, -2, false, 1>;
// broadcast argmin tests
template struct test_arg_ops<migraphx::op::argmin, 0, 1>;
template struct test_arg_ops<migraphx::op::argmin, 1, 1>;
template struct test_arg_ops<migraphx::op::argmin, 2, 1>;
template struct test_arg_ops<migraphx::op::argmin, 3, 1>;
template struct test_arg_ops<migraphx::op::argmin, -3, 1>;
template struct test_arg_ops<migraphx::op::argmin, -4, 1>;
template struct test_arg_ops<migraphx::op::argmin, 0, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, 0, false, 1>;
template struct test_arg_ops<migraphx::op::argmin, 1, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, 1, false, 1>;
template struct test_arg_ops<migraphx::op::argmin, 2, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, 2, false, 1>;
template struct test_arg_ops<migraphx::op::argmin, 3, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, 3, false, 1>;
template struct test_arg_ops<migraphx::op::argmin, -3, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, -3, false, 1>;
template struct test_arg_ops<migraphx::op::argmin, -4, true, 1>;
template struct test_arg_ops<migraphx::op::argmin, -4, false, 1>;
// slice argmax tests
template struct test_arg_ops<migraphx::op::argmax, 0, 2>;
template struct test_arg_ops<migraphx::op::argmax, 1, 2>;
template struct test_arg_ops<migraphx::op::argmax, 2, 2>;
template struct test_arg_ops<migraphx::op::argmax, 3, 2>;
template struct test_arg_ops<migraphx::op::argmax, -1, 2>;
template struct test_arg_ops<migraphx::op::argmax, -2, 2>;
template struct test_arg_ops<migraphx::op::argmax, 0, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, 0, false, 2>;
template struct test_arg_ops<migraphx::op::argmax, 1, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, 1, false, 2>;
template struct test_arg_ops<migraphx::op::argmax, 2, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, 2, false, 2>;
template struct test_arg_ops<migraphx::op::argmax, 3, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, 3, false, 2>;
template struct test_arg_ops<migraphx::op::argmax, -1, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, -1, false, 2>;
template struct test_arg_ops<migraphx::op::argmax, -2, true, 2>;
template struct test_arg_ops<migraphx::op::argmax, -2, false, 2>;
// slice argmin tests
template struct test_arg_ops<migraphx::op::argmin, 0, 2>;
template struct test_arg_ops<migraphx::op::argmin, 1, 2>;
template struct test_arg_ops<migraphx::op::argmin, 2, 2>;
template struct test_arg_ops<migraphx::op::argmin, 3, 2>;
template struct test_arg_ops<migraphx::op::argmin, -3, 2>;
template struct test_arg_ops<migraphx::op::argmin, -4, 2>;
template struct test_arg_ops<migraphx::op::argmin, 0, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, 0, false, 2>;
template struct test_arg_ops<migraphx::op::argmin, 1, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, 1, false, 2>;
template struct test_arg_ops<migraphx::op::argmin, 2, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, 2, false, 2>;
template struct test_arg_ops<migraphx::op::argmin, 3, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, 3, false, 2>;
template struct test_arg_ops<migraphx::op::argmin, -3, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, -3, false, 2>;
template struct test_arg_ops<migraphx::op::argmin, -4, true, 2>;
template struct test_arg_ops<migraphx::op::argmin, -4, false, 2>;
// default case, standard shape argmax tests
template struct test_arg_ops<migraphx::op::argmax, 0, 3>;
template struct test_arg_ops<migraphx::op::argmax, 1, 3>;
template struct test_arg_ops<migraphx::op::argmax, 2, 3>;
template struct test_arg_ops<migraphx::op::argmax, 3, 3>;
template struct test_arg_ops<migraphx::op::argmax, -1, 3>;
template struct test_arg_ops<migraphx::op::argmax, -2, 3>;
template struct test_arg_ops<migraphx::op::argmax, 0, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, 0, false, 3>;
template struct test_arg_ops<migraphx::op::argmax, 1, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, 1, false, 3>;
template struct test_arg_ops<migraphx::op::argmax, 2, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, 2, false, 3>;
template struct test_arg_ops<migraphx::op::argmax, 3, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, 3, false, 3>;
template struct test_arg_ops<migraphx::op::argmax, -1, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, -1, false, 3>;
template struct test_arg_ops<migraphx::op::argmax, -2, true, 3>;
template struct test_arg_ops<migraphx::op::argmax, -2, false, 3>;
// default case, standard shape argmin tests
template struct test_arg_ops<migraphx::op::argmin, 0, 3>;
template struct test_arg_ops<migraphx::op::argmin, 1, 3>;
template struct test_arg_ops<migraphx::op::argmin, 2, 3>;
template struct test_arg_ops<migraphx::op::argmin, 3, 3>;
template struct test_arg_ops<migraphx::op::argmin, -3, 3>;
template struct test_arg_ops<migraphx::op::argmin, -4, 3>;
template struct test_arg_ops<migraphx::op::argmin, 0, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, 0, false, 3>;
template struct test_arg_ops<migraphx::op::argmin, 1, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, 1, false, 3>;
template struct test_arg_ops<migraphx::op::argmin, 2, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, 2, false, 3>;
template struct test_arg_ops<migraphx::op::argmin, 3, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, 3, false, 3>;
template struct test_arg_ops<migraphx::op::argmin, -3, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, -3, false, 3>;
template struct test_arg_ops<migraphx::op::argmin, -4, true, 3>;
template struct test_arg_ops<migraphx::op::argmin, -4, false, 3>;
/*
* 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 test_flatten_dot_relu : verify_program<test_flatten_dot_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
auto a =
mm->add_parameter("a", migraphx::shape{migraphx::shape::float_type, {1, 2, 3, 3, 5}});
a = mm->add_instruction(migraphx::make_op("flatten", {{"axis", 3}}), a);
auto b =
mm->add_parameter("b", migraphx::shape{migraphx::shape::float_type, {1, 5, 3, 3, 1}});
b = mm->add_instruction(migraphx::make_op("flatten", {{"axis", 3}}), b);
auto dot = mm->add_instruction(migraphx::make_op("dot"), a, b);
mm->add_instruction(migraphx::make_op("relu"), dot);
return p;
}
};
/*
* 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 test_scatter_nonstandard_shape : verify_program<test_scatter_nonstandard_shape>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape sd{migraphx::shape::float_type, {3, 1, 3}, {1, 3, 2}};
migraphx::shape si{migraphx::shape::int32_type, {2, 1, 3}, {1, 3, 2}};
std::vector<int> vi = {1, 0, 2, 0, 2, 1};
migraphx::shape su{migraphx::shape::float_type, {2, 1, 3}, {1, 2, 3}};
auto pd = mm->add_parameter("data", sd);
auto li = mm->add_literal(migraphx::literal{si, vi});
auto pu = mm->add_parameter("update", su);
auto r = mm->add_instruction(migraphx::make_op("scatter_none", {{"axis", -1}}), pd, li, pu);
mm->add_return({r});
return p;
}
};
/*
* 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>
#include <migraphx/op/common.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/common.hpp>
template <migraphx::shape::type_t T>
struct test_shrink : verify_program<test_shrink<T>>
{
migraphx::program create_program() const
{
migraphx::program p;
float bias = 1.5;
float lambd = 1.5;
auto* mm = p.get_main_module();
migraphx::shape is{T, {2, 3}};
std::vector<float> data;
migraphx::shape::visit(T, [&](auto as) {
as.is_signed() ? data.assign({-3.0, -2.0, -1.0, 0.0, 1.0, 2.0})
: data.assign({3.0, 2.0, 1.0, 0.0, 1.0, 2.0});
});
auto x = mm->add_literal(migraphx::literal{is, data});
auto lit_bias = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {bias}});
auto lit_neg_lambd =
mm->add_literal(migraphx::literal{migraphx::shape::float_type, {-lambd}});
auto lit_lambd = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {lambd}});
auto x_plus_bias = add_common_op(*mm, migraphx::make_op("add"), {x, lit_bias});
auto x_min_bias = add_common_op(*mm, migraphx::make_op("sub"), {x, lit_bias});
auto cond1 = add_common_op(*mm, migraphx::make_op("less"), {x, lit_neg_lambd});
auto cond2_a = add_common_op(*mm, migraphx::make_op("not"), {cond1});
auto cond2_b = add_common_op(*mm, migraphx::make_op("greater"), {x, lit_lambd});
auto cond2 = add_common_op(*mm, migraphx::make_op("logical_and"), {cond2_a, cond2_b});
auto mul1 = mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), cond1);
auto mul2 = mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), cond2);
auto first = add_common_op(*mm, migraphx::make_op("mul"), {mul1, x_plus_bias});
auto second = add_common_op(*mm, migraphx::make_op("mul"), {mul2, x_min_bias});
auto ret = add_common_op(*mm, migraphx::make_op("add"), {first, second});
if(ret->get_shape().type() != T)
{
mm->add_instruction(migraphx::make_op("convert", {{"target_type", T}}), ret);
}
return p;
}
};
template struct test_shrink<migraphx::shape::double_type>;
template struct test_shrink<migraphx::shape::float_type>;
template struct test_shrink<migraphx::shape::half_type>;
template struct test_shrink<migraphx::shape::int64_type>;
template struct test_shrink<migraphx::shape::int32_type>;
template struct test_shrink<migraphx::shape::int16_type>;
template struct test_shrink<migraphx::shape::int8_type>;
template struct test_shrink<migraphx::shape::uint64_type>;
template struct test_shrink<migraphx::shape::uint32_type>;
template struct test_shrink<migraphx::shape::uint16_type>;
template struct test_shrink<migraphx::shape::uint8_type>;
/*
* 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 test_squeeze_conv_relu : verify_program<test_squeeze_conv_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 1, 3, 3}});
input = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2}}}), input);
auto weights =
mm->add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto conv = mm->add_instruction(migraphx::make_op("convolution"), input, weights);
mm->add_instruction(migraphx::make_op("relu"), conv);
return p;
}
};
/*
* 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 test_unsqueeze_conv_relu : verify_program<test_unsqueeze_conv_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
auto* mm = p.get_main_module();
auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 3, 3}});
auto weights =
mm->add_parameter("w", migraphx::shape{migraphx::shape::float_type, {3, 3, 3}});
weights = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0}}}), weights);
auto conv = mm->add_instruction(migraphx::make_op("convolution"), input, weights);
mm->add_instruction(migraphx::make_op("relu"), conv);
return p;
}
};
......@@ -22,4 +22,16 @@
# THE SOFTWARE.
#####################################################################################
add_custom_target(generate bash ${CMAKE_CURRENT_SOURCE_DIR}/generate.sh)
find_package(Python 3 COMPONENTS Interpreter)
if(NOT Python_EXECUTABLE)
message(WARNING "Python 3 interpreter not found - skipping 'generate' target!")
return()
endif()
find_program(CLANG_FORMAT clang-format PATHS /opt/rocm/llvm ENV HIP_PATH PATH_SUFFIXES bin)
if(NOT CLANG_FORMAT)
message(WARNING "clang-format not found - skipping 'generate' target!")
return()
endif()
add_custom_target(generate ${Python_EXECUTABLE} generate.py -f ${CLANG_FORMAT} WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
......@@ -82,6 +82,27 @@ def parse_args():
default=False,
help='Turn on ort VERBOSE logging via session options')
parser.add_argument(
'--disable-offload-copy',
dest="offload_copy",
action='store_false',
default=True,
help=
'Disable offload copying (user must handle copy to and from device)')
parser.add_argument(
'--disable-fast-math',
dest="fast_math",
action='store_false',
default=True,
help='Disable fast math optimizations (etc: rewrite_gelu)')
parser.add_argument('--exhaustive_tune',
dest="exhaustive_tune",
action='store_true',
default=False,
help='Enable exhaustive tuning for solutions')
args = parser.parse_args()
return args
......@@ -177,7 +198,12 @@ def main():
print(model)
if not args.ort_run:
model.compile(migraphx.get_target(args.target))
model.compile(
migraphx.get_target(args.target),
offload_copy=args.offload_copy,
fast_math=args.fast_math,
exhaustive_tune=args.exhaustive_tune,
)
params = {}
test_inputs = {}
......@@ -194,10 +220,16 @@ def main():
else:
test_input = np.zeros(in_shape).astype(get_np_datatype(in_type))
test_inputs[name] = test_input
params[name] = migraphx.argument(test_input)
migraphx_arg = migraphx.argument(test_input)
if not args.offload_copy:
migraphx_arg = migraphx.to_gpu(migraphx_arg)
params[name] = migraphx_arg
if not args.ort_run:
pred_migx = np.array(model.run(params)[-1])
if not args.offload_copy:
pred_migx = np.array(migraphx.from_gpu(model.run(params)[-1]))
else:
pred_migx = np.array(model.run(params)[-1])
if use_onnx:
sess_op = ort.SessionOptions()
......
......@@ -22,4 +22,4 @@
# THE SOFTWARE.
#####################################################################################
numpy==1.21.6
onnxruntime==1.10.0
onnxruntime==1.16.1
......@@ -27,6 +27,7 @@ import re
import runpy
from functools import wraps
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from pathlib import Path
type_map: Dict[str, Callable[['Parameter'], None]] = {}
cpp_type_map: Dict[str, str] = {}
......@@ -1281,18 +1282,17 @@ def template_eval(template, **kwargs):
return template
def run(args: List[str]) -> None:
runpy.run_path(args[0])
if len(args) > 1:
f = open(args[1]).read()
r = template_eval(f)
def run(path: Union[Path, str]) -> str:
return template_eval(open(path).read())
if __name__ == "__main__":
sys.modules['api'] = sys.modules['__main__']
runpy.run_path(sys.argv[1])
if len(sys.argv) > 2:
r = run(sys.argv[2])
sys.stdout.write(r)
else:
sys.stdout.write(generate_c_header())
sys.stdout.write(generate_c_api_body())
# sys.stdout.write(generate_cpp_header())
if __name__ == "__main__":
sys.modules['api'] = sys.modules['__main__']
run(sys.argv[1:])
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