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Unverified Commit a5c1c7f6 authored by Paul Fultz II's avatar Paul Fultz II Committed by GitHub
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Merge branch 'develop' into mem_color_ordering_fix

parents 462a4920 d516b099
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Showing with 4190 additions and 89 deletions
test/const_eval_test.cpp 0 → 100644
View file @ a5c1c7f6
#include <migraphx/program.hpp>
#include <migraphx/instruction.hpp>
#include <sstream>
#include "test.hpp"
#include <basic_ops.hpp>
struct sum_cf_op
{
std::string name() const { return "sum_cf"; }
migraphx::argument compute(const migraphx::shape&, std::vector<migraphx::argument> args) const
{
migraphx::argument result;
if(args.size() != 2)
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape() != args[1].get_shape())
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().size() != 1)
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().front() != 1)
MIGRAPHX_THROW("Wrong args");
args[0].visit_at([&](auto x) {
args[1].visit_at([&](auto y) { result = migraphx::literal{x + y}.get_argument(); });
});
return result;
}
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.size() != 2)
MIGRAPHX_THROW("Wrong inputs");
return inputs.front();
}
};
struct non_computable_cf
{
std::string name() const { return "non_computable"; }
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.empty())
return {};
return inputs.front();
}
};
struct test_context
{
void finish() const {}
};
TEST_CASE(literal_test)
{
migraphx::program p;
auto lit = p.add_literal(1);
CHECK(lit->eval() == migraphx::literal{1});
}
TEST_CASE(param_test)
{
migraphx::program p;
auto lit = p.add_parameter("param", migraphx::shape{migraphx::shape::float_type, {1}});
CHECK(lit->eval().empty());
}
TEST_CASE(op_test1)
{
migraphx::program p;
auto one = p.add_literal(1);
auto two = p.add_literal(2);
auto sum = p.add_instruction(sum_cf_op{}, one, two);
CHECK(sum->eval() == migraphx::literal{3});
}
TEST_CASE(op_test2)
{
migraphx::program p;
auto x = p.add_parameter("param", migraphx::shape{migraphx::shape::float_type, {1}});
auto two = p.add_literal(2);
auto sum = p.add_instruction(sum_cf_op{}, x, two);
CHECK(sum->eval().empty());
}
TEST_CASE(op_test3)
{
migraphx::program p;
auto one = p.add_literal(1);
auto two = p.add_literal(2);
auto sum1 = p.add_instruction(sum_op{}, one, two);
auto sum2 = p.add_instruction(sum_cf_op{}, sum1, two);
CHECK(sum2->eval().empty());
}
TEST_CASE(compute_op_c)
{
migraphx::operation op = sum_op{};
auto one = migraphx::literal{1}.get_argument();
auto two = migraphx::literal{2}.get_argument();
EXPECT(test::throws([&] {
op.compute(migraphx::shape{migraphx::shape::float_type, {1}}, {one, two});
}));
}
TEST_CASE(compute_nop_c)
{
migraphx::operation op = non_computable_cf{};
auto one = migraphx::literal{1}.get_argument();
auto two = migraphx::literal{2}.get_argument();
EXPECT(test::throws([&] {
op.compute(migraphx::shape{migraphx::shape::float_type, {1}}, {one, two});
}));
}
TEST_CASE(compute_nop_context)
{
migraphx::operation op = non_computable_cf{};
auto one = migraphx::literal{1}.get_argument();
auto two = migraphx::literal{2}.get_argument();
migraphx::context ctx = test_context{};
EXPECT(test::throws([&] {
op.compute(ctx, migraphx::shape{migraphx::shape::float_type, {1}}, {one, two});
}));
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/cpu_ops_test.cpp
View file @ a5c1c7f6
......@@ -5,8 +5,13 @@
#include <migraphx/instruction.hpp>
#include <migraphx/cpu/target.hpp>
#include <migraphx/verify.hpp>
#include <migraphx/onnx.hpp>
#include "test.hpp"
float sigmoid(float x) { return 1 / (1 + expf(-x)); }
float elu(float a, float x) { return x > 0 ? x : a * std::expm1(x); }
TEST_CASE(slice_test)
{
{
......@@ -97,6 +102,69 @@ TEST_CASE(concat_test)
}
}
TEST_CASE(gather_test)
{
{
migraphx::program p;
std::vector<float> data(3 * 3);
std::iota(data.begin(), data.end(), 0.5);
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
auto a0 = p.add_literal(migraphx::literal{s, data});
migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
std::vector<int> indices{0, 2};
auto a1 = p.add_literal(migraphx::literal{s_indices, indices});
int axis = 0;
p.add_instruction(migraphx::op::gather{axis}, a0, a1);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> res_data(4 * 5);
std::vector<float> golden = {0.5f, 1.5f, 2.5f, 6.5f, 7.5f, 8.5f};
result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify_range(res_data, golden));
}
{
migraphx::program p;
std::vector<float> data(3 * 3);
std::iota(data.begin(), data.end(), 0.5);
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
auto a0 = p.add_literal(migraphx::literal{s, data});
migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
std::vector<int> indices{0, 2};
auto a1 = p.add_literal(migraphx::literal{s_indices, indices});
int axis = 1;
p.add_instruction(migraphx::op::gather{axis}, a0, a1);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> res_data(4 * 5);
std::vector<float> golden = {0.5f, 2.5f, 3.5f, 5.5f, 6.5f, 8.5f};
result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify_range(res_data, golden));
}
{
migraphx::program p;
std::vector<float> data(3 * 3);
std::iota(data.begin(), data.end(), 0.5);
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
auto a0 = p.add_literal(migraphx::literal{s, data});
migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
std::vector<int> indices{0, 2};
auto a1 = p.add_literal(migraphx::literal{s_indices, indices});
int axis = -1;
p.add_instruction(migraphx::op::gather{axis}, a0, a1);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> res_data(4 * 5);
std::vector<float> golden = {0.5f, 2.5f, 3.5f, 5.5f, 6.5f, 8.5f};
result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify_range(res_data, golden));
}
}
TEST_CASE(squeeze_test)
{
{
......@@ -329,9 +397,15 @@ TEST_CASE(im2col_3x3_with_padding_test)
TEST_CASE(batch_norm_inference_test)
{
migraphx::program p;
const size_t width = 2, height = 2, channels = 4, batches = 2;
const float x_val = 8.0f, mean_val = 2.0f, variance_val = 4.0f, scale_val = 2.0f,
bias_val = 1.0f;
const size_t width = 2;
const size_t height = 2;
const size_t channels = 4;
const size_t batches = 2;
const float x_val = 8.0;
const float mean_val = 2.0;
const float variance_val = 4.0;
const float scale_val = 2.0f;
const float bias_val = 1.0f;
const float output_val = scale_val * (x_val - mean_val) / (std::sqrt(variance_val)) + bias_val;
migraphx::shape s{migraphx::shape::float_type, {batches, channels, height, width}};
......@@ -409,6 +483,20 @@ TEST_CASE(exp_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(log_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l = p.add_literal(migraphx::literal{s, {1, 2, 3}});
p.add_instruction(migraphx::op::log{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.0f, 0.6931471806f, 1.0986122887f};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sin_test)
{
migraphx::program p;
......@@ -451,6 +539,50 @@ TEST_CASE(tan_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(asin_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3}};
std::vector<float> data{-0.5f, 0.0f, 0.9f};
auto l = p.add_literal(migraphx::literal{s, data});
p.add_instruction(migraphx::op::asin{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-0.5235987756f, 0.f, 1.119769515};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(acos_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {3}};
std::vector<float> data{-0.8f, 0.0f, 1.0f};
auto l = p.add_literal(migraphx::literal{s, data});
p.add_instruction(migraphx::op::acos{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {2.4980915448f, 1.5707963268f, 0.0f};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(atan_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {3}};
auto l = p.add_literal(migraphx::literal{s, {-1, 0, 1}});
p.add_instruction(migraphx::op::atan{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-0.7853981634f, 0.0f, 0.7853981634f};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(add_test)
{
migraphx::program p;
......@@ -600,6 +732,20 @@ TEST_CASE(leaky_relu_test)
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(lrn_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {1, 5, 1, 1}};
auto l = p.add_literal(migraphx::literal{s, {-2.0f, 1.0f, 0.f, 1.0f, 2.0f}});
p.add_instruction(migraphx::op::lrn{0.0001, 0.75, 1, 5}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(5);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-2 / 1.000075, 1 / 1.00009, 0 / 1.000145, 1 / 1.00009, 2 / 1.000075};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(imagescaler_test)
{
migraphx::program p;
......@@ -691,37 +837,37 @@ template <class T>
void gemm_test()
{
migraphx::program p;
std::vector<T> a = {-0.00925222, 0.56250403, 0.70107397, 0.75402161, -0.505885,
std::vector<T> a = {-0.00925222, 0.56250403, 0.70107397, 0.75402161, -0.505885,
1.33628943, -0.11413, -0.31270559, 1.59336732, -0.19361027,
-0.91620867, 0.40108416, -0.06969921, 0.68483471, -0.39906632,
-1.66423624, 0.69040076, -1.31490171, -0.11282616, -0.79391814};
std::vector<T> b = {6.09568541e-01,
-6.10527007e-01,
3.66646462e-01,
1.18951101e-01,
5.58777432e-01,
-3.21296298e-01,
-5.95997198e-01,
-5.01425721e-01,
-2.84606807e-01,
-5.73673557e-01,
-8.99430260e-01,
-4.25103093e-01,
1.53027987e+00,
-3.81407415e-04,
-3.29650255e-01};
std::vector<T> c = {-1.56327541e+00,
-7.09570140e-01,
-5.37424982e-01,
-2.22994831e-01,
-2.15586437e+00,
2.09177941e-03,
-1.47279677e+00,
2.02627040e-01,
-6.04527691e-01,
-1.29885596e+00,
2.16294914e+00,
-1.48101497e-01};
std::vector<float> b = {6.09568541e-01,
-6.10527007e-01,
3.66646462e-01,
1.18951101e-01,
5.58777432e-01,
-3.21296298e-01,
-5.95997198e-01,
-5.01425721e-01,
-2.84606807e-01,
-5.73673557e-01,
-8.99430260e-01,
-4.25103093e-01,
1.53027987e+00,
-3.81407415e-04,
-3.29650255e-01};
std::vector<float> c = {-1.56327541e+00,
-7.09570140e-01,
-5.37424982e-01,
-2.22994831e-01,
-2.15586437e+00,
2.09177941e-03,
-1.47279677e+00,
2.02627040e-01,
-6.04527691e-01,
-1.29885596e+00,
2.16294914e+00,
-1.48101497e-01};
migraphx::shape a_shape{migraphx::shape::get_type<T>{}, {4, 5}};
auto al = p.add_literal(migraphx::literal{a_shape, a});
migraphx::shape b_shape{migraphx::shape::get_type<T>{}, {5, 3}};
......@@ -731,11 +877,7 @@ void gemm_test()
auto result = p.eval({});
std::vector<T> results_vector(12);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
float tol = 1e-6;
for(int i = 0; i < results_vector.size(); i++)
{
EXPECT(std::abs(results_vector[i] - c[i]) < tol);
}
EXPECT(migraphx::verify_range(c, results_vector));
}
TEST_CASE_REGISTER(gemm_test<float>)
TEST_CASE_REGISTER(gemm_test<double>)
......@@ -789,12 +931,7 @@ TEST_CASE(maxpool_test)
// std::cout << result.get_shape() << std::endl;
std::vector<float> results_vector(36);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
float tol = 1e-6;
for(int i = 0; i < results_vector.size(); i++)
{
// std::cout << results_vector[i] << " " << c[i] << std::endl;
EXPECT(std::abs(results_vector[i] - c[i]) < tol);
}
EXPECT(migraphx::verify_range(results_vector, c));
}
TEST_CASE(softmax_test)
......@@ -1105,4 +1242,137 @@ TEST_CASE(identity_test)
EXPECT(std::equal(data.begin(), data.end(), results_vector.begin()));
}
TEST_CASE(abs_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1, 2, -3, 4}});
p.add_instruction(migraphx::op::abs{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1, 2, 3, 4};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sigmoid_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1, 2, -3, 4}});
p.add_instruction(migraphx::op::sigmoid{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{sigmoid(-1), sigmoid(2), sigmoid(-3), sigmoid(4)};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(sinh_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1.0, 2.0, -3.0, 4.0}});
p.add_instruction(migraphx::op::sinh{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{sinhf(-1), sinhf(2), sinhf(-3), sinhf(4)};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(cosh_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1.0, 2.0, -3.0, 4.0}});
p.add_instruction(migraphx::op::cosh{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{coshf(-1), coshf(2), coshf(-3), coshf(4)};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(tanh_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1.0, 2.0, -3.0, 4.0}});
p.add_instruction(migraphx::op::tanh{}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{tanhf(-1), tanhf(2), tanhf(-3), tanhf(4)};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(elu_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = p.add_literal(migraphx::literal{s, {-1.0, 2.0, -3.0, 4.0}});
float alpha = 0.5;
p.add_instruction(migraphx::op::elu{alpha}, l);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{elu(alpha, -1), elu(alpha, 2), elu(alpha, -3), elu(alpha, 4)};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(max_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l0 = p.add_literal(migraphx::literal{s, {1, 4, 3}});
auto l1 = p.add_literal(migraphx::literal{s, {2, 8, 6}});
auto l2 = p.add_literal(migraphx::literal{s, {7, 5, 9}});
auto curr_max = p.add_instruction(migraphx::op::max{}, l0, l1);
p.add_instruction(migraphx::op::max{}, curr_max, l2);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{7, 8, 9};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(min_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l0 = p.add_literal(migraphx::literal{s, {1, 4, 3}});
auto l1 = p.add_literal(migraphx::literal{s, {2, 8, 6}});
auto l2 = p.add_literal(migraphx::literal{s, {7, 5, 9}});
auto curr_min = p.add_instruction(migraphx::op::min{}, l0, l1);
p.add_instruction(migraphx::op::min{}, curr_min, l2);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1, 4, 3};
EXPECT(migraphx::verify_range(results_vector, gold));
}
TEST_CASE(pad_test)
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l0 = p.add_literal(migraphx::literal{s, {1, 2, 3, 4}});
p.add_instruction(migraphx::op::pad{{1, 1, 1, 1}}, l0);
p.compile(migraphx::cpu::target{});
auto result = p.eval({});
std::vector<float> results_vector(16);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 0, 0, 0, 0, 0};
EXPECT(migraphx::verify_range(results_vector, gold));
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/cpu_rnn_ops_test.cpp 0 → 100644
View file @ a5c1c7f6
#include <iostream>
#include <vector>
#include <migraphx/literal.hpp>
#include <migraphx/operators.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/cpu/target.hpp>
#include <migraphx/verify.hpp>
#include <migraphx/onnx.hpp>
#include "test.hpp"
TEST_CASE(rnn_forward)
{
std::size_t batch_size = 2;
std::size_t seq_len = 2;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
std::vector<float> w_data{0.4691,
0.3185,
-0.2227,
0.4423,
-0.0609,
-0.2803,
0.1744,
0.3146,
0.4049,
-0.3973,
-0.0890,
-0.1636};
std::vector<float> r_data{-0.0456,
0.1061,
0.1574,
-0.4928,
-0.4300,
-0.1909,
-0.0225,
-0.2668,
0.1840,
-0.4453,
-0.4896,
0.1302,
-0.0929,
0.3545,
-0.4981,
0.0616};
std::vector<float> bias_data{
-0.4938, 0.4355, -0.3186, 0.2094, 0.1037, -0.1071, 0.4504, -0.3990};
std::vector<float> ih_data(num_dirct * batch_size * hidden_size, 0);
std::vector<float> input(seq_len * batch_size * input_size, 0);
input[0] = input[1] = 1.0;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
float clip = 0.0f;
// concatenation of hidden states as program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.37780784,
0.61055139,
0.55168478,
-0.5888475,
-0.37144644,
0.31708236,
0.13104209,
-0.18736027,
0.03445704,
0.19167931,
-0.3946827,
-0.30889652,
-0.22276389,
0.44193283,
-0.16477929,
-0.11893477};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// rnn last output as program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::forward, clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{0.03445704,
0.19167931,
-0.3946827,
-0.30889652,
-0.22276389,
0.44193283,
-0.16477929,
-0.11893477};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// multiple rnn_last_output operators
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::forward, clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{0.03445704,
0.19167931,
-0.3946827,
-0.30889652,
-0.22276389,
0.44193283,
-0.16477929,
-0.11893477};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// 3 args
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto out_hs = p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::forward, clip},
seq,
w,
r);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{
0.2935145, -0.23719997, -0.31123261, -0.18357255, 0., 0., 0., 0.};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// seq_len = 1
{
seq_len = 1;
std::vector<float> input_1(seq_len * batch_size * input_size, 0);
input_1[0] = input_1[1] = 1.0;
migraphx::shape in_shape_1{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape_1, input_1});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.37780784,
0.61055139,
0.55168478,
-0.5888475,
-0.37144644,
0.31708236,
0.13104209,
-0.18736027};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(rnn_reverse)
{
std::size_t batch_size = 2;
std::size_t seq_len = 2;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
std::vector<float> w_data{-0.0296,
-0.1341,
0.1761,
-0.2325,
-0.0717,
0.1852,
0.2720,
0.1471,
-0.1097,
0.3363,
-0.0587,
-0.2302};
std::vector<float> r_data{0.2528,
-0.2333,
0.3973,
0.1593,
-0.0388,
0.1702,
0.3829,
-0.0712,
-0.1668,
0.3074,
-0.2854,
0.4049,
-0.3737,
-0.1051,
0.4482,
-0.2841};
std::vector<float> bias_data{-0.3188, 0.1341, -0.4446, 0.1389, 0.3117, 0.3664, 0.2352, 0.2552};
std::vector<float> input(seq_len * batch_size * input_size, 0);
input[0] = input[1] = 1.0;
std::vector<float> ih_data(num_dirct * batch_size * hidden_size, 0);
float clip = 0.0f;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
// concatenation of hidden states as program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::reverse, clip},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.29385301,
0.16796815,
0.51075965,
0.40258689,
-0.13818839,
0.44124447,
0.14365635,
0.14803654,
-0.0070999,
0.46251031,
-0.20639211,
0.37488942,
-0.0070999,
0.46251031,
-0.20639211,
0.37488942};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// rnn last output as program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs = p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::reverse, clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{-0.29385301,
0.16796815,
0.51075965,
0.40258689,
-0.13818839,
0.44124447,
0.14365635,
0.14803654};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
}
TEST_CASE(rnn_bidirectional)
{
std::size_t batch_size = 2;
std::size_t seq_len = 2;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
std::vector<float> w_data{0.4691, 0.3185, -0.2227, 0.4423, -0.0609, -0.2803,
0.1744, 0.3146, 0.4049, -0.3973, -0.0890, -0.1636,
-0.0296, -0.1341, 0.1761, -0.2325, -0.0717, 0.1852,
0.2720, 0.1471, -0.1097, 0.3363, -0.0587, -0.2302};
std::vector<float> r_data{-0.0456, 0.1061, 0.1574, -0.4928, -0.4300, -0.1909, -0.0225,
-0.2668, 0.1840, -0.4453, -0.4896, 0.1302, -0.0929, 0.3545,
-0.4981, 0.0616, 0.2528, -0.2333, 0.3973, 0.1593, -0.0388,
0.1702, 0.3829, -0.0712, -0.1668, 0.3074, -0.2854, 0.4049,
-0.3737, -0.1051, 0.4482, -0.2841};
std::vector<float> bias_data{-0.4938,
0.4355,
-0.3186,
0.2094,
0.1037,
-0.1071,
0.4504,
-0.3990,
-0.3188,
0.1341,
-0.4446,
0.1389,
0.3117,
0.3664,
0.2352,
0.2552};
std::vector<float> input(seq_len * batch_size * input_size, 0);
input[0] = input[1] = 1.0;
std::vector<float> ih_data(num_dirct * batch_size * hidden_size, 0);
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
float clip = 0.0f;
// concatenation of hidden state for program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::bidirectional, clip},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.37780784, 0.61055139, 0.55168478, -0.5888475, -0.37144644, 0.31708236,
0.13104209, -0.18736027, -0.29385301, 0.16796815, 0.51075965, 0.40258689,
-0.13818839, 0.44124447, 0.14365635, 0.14803654, 0.03445704, 0.19167931,
-0.3946827, -0.30889652, -0.22276389, 0.44193283, -0.16477929, -0.11893477,
-0.0070999, 0.46251031, -0.20639211, 0.37488942, -0.0070999, 0.46251031,
-0.20639211, 0.37488942};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last rnn output for program output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto out_hs =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{0.03445704,
0.19167931,
-0.3946827,
-0.30889652,
-0.22276389,
0.44193283,
-0.16477929,
-0.11893477,
-0.29385301,
0.16796815,
0.51075965,
0.40258689,
-0.13818839,
0.44124447,
0.14365635,
0.14803654};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// 4 args
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto out_hs =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias);
p.add_instruction(migraphx::op::rnn_last_output{}, out_hs);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{0.03445704,
0.19167931,
-0.3946827,
-0.30889652,
-0.22276389,
0.44193283,
-0.16477929,
-0.11893477,
-0.29385301,
0.16796815,
0.51075965,
0.40258689,
-0.13818839,
0.44124447,
0.14365635,
0.14803654};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// 3 args
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r);
p.compile(migraphx::cpu::target{});
auto last_output = p.eval({});
std::vector<float> last_output_data;
last_output.visit([&](auto out) { last_output_data.assign(out.begin(), out.end()); });
std::vector<float> last_output_data_gold{
0.6570473, 0.36392266, 0.45342238, -0.45127486, 0., 0., 0., 0.,
-0.16225325, -0.29515147, 0.39617197, 0.27068236, 0., 0., 0., 0.,
0.2935145, -0.23719997, -0.31123261, -0.18357255, 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0.};
EXPECT(migraphx::verify_range(last_output_data, last_output_data_gold));
}
// concatenation of hidden state for program output
{
seq_len = 1;
std::vector<float> input_1(seq_len * batch_size * input_size, 0);
input_1[0] = input_1[1] = 1.0;
migraphx::shape in_shape_1{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape_1, input_1});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(
migraphx::op::rnn{hidden_size, {}, migraphx::op::rnn_direction::bidirectional, clip},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.37780784,
0.61055139,
0.55168478,
-0.5888475,
-0.37144644,
0.31708236,
0.13104209,
-0.18736027,
-0.16915828,
0.1938169,
0.20667936,
0.58609703,
-0.0070999,
0.46251031,
-0.20639211,
0.37488942};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_forward)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3485, -0.0378, -0.1782, 0.1416, -0.3096, -0.2212, -0.3883, 0.1983, -0.2418,
0.1480, -0.3255, 0.1359, -0.3551, -0.3605, -0.3482, -0.1424, -0.0495, -0.1640,
-0.1979, -0.2577, -0.4097, -0.1211, -0.0412, 0.1801, 0.1721, -0.4327, -0.0498,
0.2628, -0.1573, -0.1577, 0.2759, -0.2023, -0.1185, -0.2136, 0.1294, -0.2331,
0.0701, 0.4316, 0.0480, 0.0247, -0.0166, -0.2729, 0.1712, -0.3984, -0.3905};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
0.2848, -0.2851, -0.3466, -0.1718, -0.1492, -0.0082, 0.2452, -0.0401, 0.3399, 0.2529,
-0.0953, -0.0903, -0.1518, -0.1373, 0.3848, -0.0130, -0.4339, 0.0406, -0.1926, -0.1131,
0.4285, -0.0013, 0.2243, 0.2752, 0.1776, -0.1720, 0.0822, -0.0295, 0.1062, -0.2721,
-0.2736, -0.1826, 0.3541, -0.4259, 0.2188, 0.0706, 0.3650, 0.3947, 0.2522, 0.2179,
-0.0744, 0.2122, -0.4346, 0.2760, 0.4076, 0.1183, -0.1500, -0.1704, 0.3090, -0.0706,
-0.2442, 0.3021, 0.1680, 0.0783, -0.3754, -0.3469, -0.2972, -0.0170, 0.4143, 0.3801,
0.3852, -0.1170, -0.2937, 0.2979, -0.1357, 0.4257, 0.3884, -0.2916, 0.1071, 0.0934,
0.3645, -0.4310, -0.3480, 0.0702, -0.1558};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// concatenation of hidden states for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
-0.27298412, 0.42363745, -0.09368783, 0.4823072, -0.02183238, -0.6873896,
0.16144305, 0.31932795, 0.6104771, 0.79759157, -0.31791314, 0.5249062,
0.08800987, 0.46404213, -0.11872687, -0.26210734, 0.34448293, -0.0176422,
0.48523626, 0.60002893, -0.3969709, 0.43360898, 0.35775262, 0.23280787,
-0.52179873, -0.21944991, 0.4535257, -0.13735442, 0.51757574, 0.50380427};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.3969709,
0.43360898,
0.35775262,
0.23280787,
-0.52179873,
-0.21944991,
0.4535257,
-0.13735442,
0.51757574,
0.50380427};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// two rnn_last_output operators after gru
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.3969709,
0.43360898,
0.35775262,
0.23280787,
-0.52179873,
-0.21944991,
0.4535257,
-0.13735442,
0.51757574,
0.50380427};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output, linear_before_reset = 0
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
0},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.53291196,
0.50160867,
0.39010462,
0.39292926,
-0.5960838,
-0.38451535,
0.454239,
-0.10620412,
0.6014447,
0.43445644};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_forward_args)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3485, -0.0378, -0.1782, 0.1416, -0.3096, -0.2212, -0.3883, 0.1983, -0.2418,
0.1480, -0.3255, 0.1359, -0.3551, -0.3605, -0.3482, -0.1424, -0.0495, -0.1640,
-0.1979, -0.2577, -0.4097, -0.1211, -0.0412, 0.1801, 0.1721, -0.4327, -0.0498,
0.2628, -0.1573, -0.1577, 0.2759, -0.2023, -0.1185, -0.2136, 0.1294, -0.2331,
0.0701, 0.4316, 0.0480, 0.0247, -0.0166, -0.2729, 0.1712, -0.3984, -0.3905};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
0.2848, -0.2851, -0.3466, -0.1718, -0.1492, -0.0082, 0.2452, -0.0401, 0.3399, 0.2529,
-0.0953, -0.0903, -0.1518, -0.1373, 0.3848, -0.0130, -0.4339, 0.0406, -0.1926, -0.1131,
0.4285, -0.0013, 0.2243, 0.2752, 0.1776, -0.1720, 0.0822, -0.0295, 0.1062, -0.2721,
-0.2736, -0.1826, 0.3541, -0.4259, 0.2188, 0.0706, 0.3650, 0.3947, 0.2522, 0.2179,
-0.0744, 0.2122, -0.4346, 0.2760, 0.4076, 0.1183, -0.1500, -0.1704, 0.3090, -0.0706,
-0.2442, 0.3021, 0.1680, 0.0783, -0.3754, -0.3469, -0.2972, -0.0170, 0.4143, 0.3801,
0.3852, -0.1170, -0.2937, 0.2979, -0.1357, 0.4257, 0.3884, -0.2916, 0.1071, 0.0934,
0.3645, -0.4310, -0.3480, 0.0702, -0.1558};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// 3 args
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.114674, -0.129581, -0.218156, -0.140788, -0.114242,
-0.346569, 0.321367, -0.0838253, 0.102097, 0.00232137,
-0.149055, 0.0590743, -0.0533094, -0.0446122, -0.112588,
0.0153261, 0.168883, -0.326836, 0.0843562, 0.160872,
-0.232523, 0.00214573, 0.231693, -0.160475, -0.518952,
0.0467166, 0.12327, -0.374162, 0.137778, 0.251976};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 4 args (bias is used)
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.273619, 0.0931375, -0.104717, 0.0203752, -0.0797887,
-0.493948, 0.472118, -0.0336318, 0.332706, 0.0182268,
-0.341684, 0.38063, 0.0589275, 0.2644, -0.115737,
-0.152324, 0.442277, -0.201626, 0.408909, 0.12905,
-0.416866, 0.377186, 0.32922, 0.162214, -0.519973,
-0.140072, 0.465076, -0.229563, 0.500164, 0.195166};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 4 args (ih is used)
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
und,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.0801064, 0.27025, -0.20704, 0.333579, -0.0452438,
-0.56265, 0.061061, 0.262172, 0.405193, 0.775226,
-0.100683, 0.258729, -0.0187297, 0.215815, -0.108936,
-0.0941018, 0.129665, -0.159421, 0.190636, 0.597412,
-0.197, 0.0885705, 0.269396, -0.0414511, -0.515137,
-0.03075, 0.158326, -0.296488, 0.177983, 0.519498};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_forward_actv_funcs)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3485, -0.0378, -0.1782, 0.1416, -0.3096, -0.2212, -0.3883, 0.1983, -0.2418,
0.1480, -0.3255, 0.1359, -0.3551, -0.3605, -0.3482, -0.1424, -0.0495, -0.1640,
-0.1979, -0.2577, -0.4097, -0.1211, -0.0412, 0.1801, 0.1721, -0.4327, -0.0498,
0.2628, -0.1573, -0.1577, 0.2759, -0.2023, -0.1185, -0.2136, 0.1294, -0.2331,
0.0701, 0.4316, 0.0480, 0.0247, -0.0166, -0.2729, 0.1712, -0.3984, -0.3905};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
0.2848, -0.2851, -0.3466, -0.1718, -0.1492, -0.0082, 0.2452, -0.0401, 0.3399, 0.2529,
-0.0953, -0.0903, -0.1518, -0.1373, 0.3848, -0.0130, -0.4339, 0.0406, -0.1926, -0.1131,
0.4285, -0.0013, 0.2243, 0.2752, 0.1776, -0.1720, 0.0822, -0.0295, 0.1062, -0.2721,
-0.2736, -0.1826, 0.3541, -0.4259, 0.2188, 0.0706, 0.3650, 0.3947, 0.2522, 0.2179,
-0.0744, 0.2122, -0.4346, 0.2760, 0.4076, 0.1183, -0.1500, -0.1704, 0.3090, -0.0706,
-0.2442, 0.3021, 0.1680, 0.0783, -0.3754, -0.3469, -0.2972, -0.0170, 0.4143, 0.3801,
0.3852, -0.1170, -0.2937, 0.2979, -0.1357, 0.4257, 0.3884, -0.2916, 0.1071, 0.0934,
0.3645, -0.4310, -0.3480, 0.0702, -0.1558};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// no activation function specified, so default is used.
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs = p.add_instruction(
migraphx::op::gru{hidden_size, {}, migraphx::op::rnn_direction::forward, clip, 1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.3969709,
0.43360898,
0.35775262,
0.23280787,
-0.52179873,
-0.21944991,
0.4535257,
-0.13735442,
0.51757574,
0.50380427};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 1 activation function (sigmoid) specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.26905832, 0.5669211, 0.20464146, 0.67195725, 0.24752215,
0.11411376, 0.12353572, 0.4245067, 0.73908687, 0.8644615,
0.34754312, 0.61424744, 0.36769435, 0.6499579, 0.3168031,
0.3296533, 0.3055136, 0.42514813, 0.6851256, 0.7967266,
0.35652235, 0.6033026, 0.52634895, 0.5815402, 0.3001663,
0.39814138, 0.4354002, 0.4310627, 0.6708563, 0.7509278};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 1 activation function (tanh) specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs = p.add_instruction(
migraphx::op::gru{
hidden_size, {migraphx::op::tanh{}}, migraphx::op::rnn_direction::forward, clip, 1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.49333298,
-0.06104589,
0.5629142,
-0.97955984,
-0.9314696,
-0.03033514,
0.5280315,
-0.27354342,
0.65615714,
0.53612584};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// seq length of 1
{
migraphx::program p;
seq_len = 1;
migraphx::shape in_shape_one{migraphx::shape::float_type,
{seq_len, batch_size, input_size}};
std::vector<float> input_one{-0.8432, -0.9887, 1.3041, -2.6430, -0.3306, -0.8504};
auto seq = p.add_literal(migraphx::literal{in_shape_one, input_one});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.27298412,
0.42363745,
-0.09368783,
0.4823072,
-0.02183238,
-0.6873896,
0.16144305,
0.31932795,
0.6104771,
0.79759157};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_reverse)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3485, -0.0378, -0.1782, 0.1416, -0.3096, -0.2212, -0.3883, 0.1983, -0.2418,
0.1480, -0.3255, 0.1359, -0.3551, -0.3605, -0.3482, -0.1424, -0.0495, -0.1640,
-0.1979, -0.2577, -0.4097, -0.1211, -0.0412, 0.1801, 0.1721, -0.4327, -0.0498,
0.2628, -0.1573, -0.1577, 0.2759, -0.2023, -0.1185, -0.2136, 0.1294, -0.2331,
0.0701, 0.4316, 0.0480, 0.0247, -0.0166, -0.2729, 0.1712, -0.3984, -0.3905};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
0.2848, -0.2851, -0.3466, -0.1718, -0.1492, -0.0082, 0.2452, -0.0401, 0.3399, 0.2529,
-0.0953, -0.0903, -0.1518, -0.1373, 0.3848, -0.0130, -0.4339, 0.0406, -0.1926, -0.1131,
0.4285, -0.0013, 0.2243, 0.2752, 0.1776, -0.1720, 0.0822, -0.0295, 0.1062, -0.2721,
-0.2736, -0.1826, 0.3541, -0.4259, 0.2188, 0.0706, 0.3650, 0.3947, 0.2522, 0.2179,
-0.0744, 0.2122, -0.4346, 0.2760, 0.4076, 0.1183, -0.1500, -0.1704, 0.3090, -0.0706,
-0.2442, 0.3021, 0.1680, 0.0783, -0.3754, -0.3469, -0.2972, -0.0170, 0.4143, 0.3801,
0.3852, -0.1170, -0.2937, 0.2979, -0.1357, 0.4257, 0.3884, -0.2916, 0.1071, 0.0934,
0.3645, -0.4310, -0.3480, 0.0702, -0.1558};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
0.0560, 0.0310, -0.1669, -0.0781, 0.1793, -0.1758, 0.3173, -0.1650, -0.3732, 0.2946,
-0.0912, 0.3118, 0.1391, 0.2755, 0.2695, -0.1059, -0.2357, 0.3629, -0.2534, -0.0494,
0.0556, 0.0881, -0.2592, -0.2213, 0.2310, -0.4044, 0.1801, 0.1438, 0.3108, -0.3607};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{
-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// concatenation of hidden states for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.263403, 0.317655, -0.00634162, 0.200443, -0.349125,
-0.600874, 0.542386, -0.0856531, 0.55703, 0.54711,
-0.276245, 0.521348, 0.302874, 0.394353, -0.334369,
-0.187861, 0.213553, -0.0708377, 0.545435, 0.654301,
-0.329512, 0.476095, 0.284044, 0.392077, -0.369226,
-0.3275, -0.027301, 0.143774, 0.655686, 0.782831};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.263403,
0.317655,
-0.00634162,
0.200443,
-0.349125,
-0.600874,
0.542386,
-0.0856531,
0.55703,
0.54711};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output, linear_before_reset = 0
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip,
0},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.388654,
0.384975,
0.0179455,
0.350101,
-0.456872,
-0.690085,
0.534512,
-0.0558191,
0.646604,
0.463943};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// no activation function specified, so default is used.
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(
migraphx::op::gru{hidden_size, {}, migraphx::op::rnn_direction::reverse, clip, 1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.263403, 0.317655, -0.00634162, 0.200443, -0.349125,
-0.600874, 0.542386, -0.0856531, 0.55703, 0.54711,
-0.276245, 0.521348, 0.302874, 0.394353, -0.334369,
-0.187861, 0.213553, -0.0708377, 0.545435, 0.654301,
-0.329512, 0.476095, 0.284044, 0.392077, -0.369226,
-0.3275, -0.027301, 0.143774, 0.655686, 0.782831};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// seq length of 1
{
migraphx::program p;
seq_len = 1;
migraphx::shape in_shape_one{migraphx::shape::float_type,
{seq_len, batch_size, input_size}};
std::vector<float> input_one{-0.8432, -0.9887, 1.3041, -2.6430, -0.3306, -0.8504};
auto seq = p.add_literal(migraphx::literal{in_shape_one, input_one});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.272984,
0.423637,
-0.0936878,
0.482307,
-0.0218324,
-0.68739,
0.161443,
0.319328,
0.610477,
0.797592};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_bidirectional)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3809, 0.4283, 0.2294, -0.1018, -0.1226, -0.0037, 0.2449, -0.2712, -0.1418,
0.1363, -0.3453, -0.0693, -0.2281, 0.2699, -0.2024, -0.3085, -0.3338, 0.4109,
0.2605, -0.1019, -0.2813, 0.3323, -0.1590, 0.0788, -0.3535, 0.0397, 0.2732,
0.2906, 0.0519, 0.3617, -0.2664, 0.1441, 0.0464, -0.1057, 0.2204, -0.3294,
0.3670, 0.1411, 0.3852, 0.3572, 0.3918, 0.0483, -0.3906, -0.2841, -0.2778,
-0.4272, 0.2335, -0.1811, -0.3885, -0.1279, 0.1000, 0.0206, -0.3284, -0.0353,
0.1197, 0.1190, 0.3862, 0.0965, -0.0492, 0.2657, -0.1430, 0.0597, 0.1408,
-0.0315, 0.1248, 0.0751, 0.3838, 0.3020, 0.0515, 0.2375, -0.4255, 0.1714,
-0.0432, 0.3447, -0.2441, -0.3989, -0.3428, -0.4204, -0.4080, -0.2683, -0.0996,
-0.1685, -0.0532, -0.1258, 0.1663, -0.3526, -0.3915, -0.1721, 0.1292, -0.2279};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
-0.2683, 0.0699, -0.4021, -0.1379, 0.0042, -0.2447, 0.4006, 0.0270, -0.0446, 0.1063,
0.1381, 0.1310, -0.3596, 0.3869, 0.3929, 0.2750, 0.0890, 0.3069, -0.1691, -0.2194,
-0.1066, 0.3187, -0.4369, -0.0603, -0.0834, -0.1182, -0.2047, 0.3253, -0.2931, 0.2082,
0.0424, 0.1111, -0.2773, -0.0279, -0.0869, 0.1413, -0.4227, -0.3672, 0.4137, 0.0609,
0.4223, -0.4032, 0.2945, 0.3600, 0.3345, -0.3880, -0.0192, -0.0090, -0.2648, 0.4339,
-0.0155, 0.4437, -0.1766, 0.1957, 0.2475, 0.3773, -0.2710, 0.3289, -0.2077, -0.2534,
-0.0832, -0.1632, 0.0728, 0.2520, 0.4153, 0.1659, -0.4342, 0.0541, 0.1812, -0.2305,
0.4440, 0.0946, 0.0410, -0.4381, -0.3161, 0.3906, -0.3958, -0.4238, 0.1975, 0.3440,
0.1437, -0.0568, 0.1492, -0.4248, -0.3304, 0.2786, -0.1328, -0.3740, -0.3566, 0.3074,
0.0924, 0.2684, -0.1527, 0.1826, 0.2424, 0.2002, 0.3479, -0.1089, 0.3472, -0.3677,
-0.4231, -0.0798, -0.3709, 0.3924, 0.2774, -0.3690, -0.0233, 0.2845, 0.1969, 0.1618,
-0.3742, -0.3619, 0.2925, -0.1838, -0.1495, -0.3747, 0.0341, -0.4243, -0.0732, -0.3997,
0.2139, 0.2425, 0.4171, -0.3358, 0.3534, 0.0938, -0.0582, -0.2681, -0.4293, 0.1027,
0.4101, 0.2641, -0.4110, -0.1681, 0.3582, -0.2089, 0.0852, 0.0963, 0.3866, 0.1955,
-0.2174, 0.1996, -0.2252, 0.1748, 0.1833, -0.3155, 0.2567, -0.4387, 0.3402, 0.0599};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
-0.1582, -0.0826, 0.4008, 0.0118, 0.2511, 0.1900, -0.2838, 0.2549, -0.2484, 0.2363,
-0.4083, -0.0295, -0.1161, 0.1211, 0.2509, -0.1414, -0.2628, -0.2992, 0.1517, 0.1817,
-0.2783, 0.3183, -0.1629, -0.3108, -0.3418, 0.0411, 0.2203, 0.2187, -0.2990, -0.0416,
0.0209, -0.1024, 0.4443, -0.4420, -0.0330, -0.3591, -0.2990, 0.2167, 0.1395, 0.2317,
0.1318, 0.1909, -0.3615, 0.1953, -0.2582, -0.2217, 0.3723, 0.1458, 0.2630, -0.0377,
0.1754, 0.0800, -0.3964, -0.3247, 0.4219, -0.0900, 0.3553, 0.2614, -0.1298, -0.1124};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348,
0.4178, 1.0175, 0.9212, -0.0468, 0.5691, -0.0882, 0.8340,
0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// concatenation of hidden states for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.0352243, 0.0146756, 0.00570925, 0.152446, 0.208683, 0.214342, -0.0454273,
-0.135177, -0.0800739, 0.903659, 0.0248217, 0.435231, -0.144448, 0.101531,
-0.111305, 0.381317, 0.468983, 0.230557, 0.348021, 0.180229, -0.0930435,
0.174108, -0.063834, 0.0909285, 0.22759, -0.221983, -0.139656, -0.0938906,
-0.247681, 0.69647, -0.159396, 0.299061, -0.116652, 0.238649, 0.109945,
0.192866, 0.307073, 0.191113, 0.658287, -0.0340374, -0.0959787, 0.0794681,
0.241526, 0.321104, 0.00693533, -0.311839, -0.12802, -0.16643, -0.393849,
0.648851, -0.395918, 0.231694, -0.160503, 0.383289, 0.0879262, -0.0254665,
0.079043, 0.322652, 0.752701, 0.243775};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.0959787, 0.0794681, 0.241526, 0.321104, 0.00693533,
-0.311839, -0.12802, -0.16643, -0.393849, 0.648851,
0.0248217, 0.435231, -0.144448, 0.101531, -0.111305,
0.381317, 0.468983, 0.230557, 0.348021, 0.180229};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// last output for output, linear_before_reset = 0
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
0},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
-0.09280921, 0.18506107, 0.32247013, 0.17034212, -0.00115255, -0.29865006, -0.04513004,
-0.10688055, -0.4767866, 0.6317833, 0.00286336, 0.53692746, -0.00617076, 0.04564289,
-0.18030001, 0.39584228, 0.53879917, 0.384983, 0.2759448, 0.11611474};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_bidirectional_args)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3809, 0.4283, 0.2294, -0.1018, -0.1226, -0.0037, 0.2449, -0.2712, -0.1418,
0.1363, -0.3453, -0.0693, -0.2281, 0.2699, -0.2024, -0.3085, -0.3338, 0.4109,
0.2605, -0.1019, -0.2813, 0.3323, -0.1590, 0.0788, -0.3535, 0.0397, 0.2732,
0.2906, 0.0519, 0.3617, -0.2664, 0.1441, 0.0464, -0.1057, 0.2204, -0.3294,
0.3670, 0.1411, 0.3852, 0.3572, 0.3918, 0.0483, -0.3906, -0.2841, -0.2778,
-0.4272, 0.2335, -0.1811, -0.3885, -0.1279, 0.1000, 0.0206, -0.3284, -0.0353,
0.1197, 0.1190, 0.3862, 0.0965, -0.0492, 0.2657, -0.1430, 0.0597, 0.1408,
-0.0315, 0.1248, 0.0751, 0.3838, 0.3020, 0.0515, 0.2375, -0.4255, 0.1714,
-0.0432, 0.3447, -0.2441, -0.3989, -0.3428, -0.4204, -0.4080, -0.2683, -0.0996,
-0.1685, -0.0532, -0.1258, 0.1663, -0.3526, -0.3915, -0.1721, 0.1292, -0.2279};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
-0.2683, 0.0699, -0.4021, -0.1379, 0.0042, -0.2447, 0.4006, 0.0270, -0.0446, 0.1063,
0.1381, 0.1310, -0.3596, 0.3869, 0.3929, 0.2750, 0.0890, 0.3069, -0.1691, -0.2194,
-0.1066, 0.3187, -0.4369, -0.0603, -0.0834, -0.1182, -0.2047, 0.3253, -0.2931, 0.2082,
0.0424, 0.1111, -0.2773, -0.0279, -0.0869, 0.1413, -0.4227, -0.3672, 0.4137, 0.0609,
0.4223, -0.4032, 0.2945, 0.3600, 0.3345, -0.3880, -0.0192, -0.0090, -0.2648, 0.4339,
-0.0155, 0.4437, -0.1766, 0.1957, 0.2475, 0.3773, -0.2710, 0.3289, -0.2077, -0.2534,
-0.0832, -0.1632, 0.0728, 0.2520, 0.4153, 0.1659, -0.4342, 0.0541, 0.1812, -0.2305,
0.4440, 0.0946, 0.0410, -0.4381, -0.3161, 0.3906, -0.3958, -0.4238, 0.1975, 0.3440,
0.1437, -0.0568, 0.1492, -0.4248, -0.3304, 0.2786, -0.1328, -0.3740, -0.3566, 0.3074,
0.0924, 0.2684, -0.1527, 0.1826, 0.2424, 0.2002, 0.3479, -0.1089, 0.3472, -0.3677,
-0.4231, -0.0798, -0.3709, 0.3924, 0.2774, -0.3690, -0.0233, 0.2845, 0.1969, 0.1618,
-0.3742, -0.3619, 0.2925, -0.1838, -0.1495, -0.3747, 0.0341, -0.4243, -0.0732, -0.3997,
0.2139, 0.2425, 0.4171, -0.3358, 0.3534, 0.0938, -0.0582, -0.2681, -0.4293, 0.1027,
0.4101, 0.2641, -0.4110, -0.1681, 0.3582, -0.2089, 0.0852, 0.0963, 0.3866, 0.1955,
-0.2174, 0.1996, -0.2252, 0.1748, 0.1833, -0.3155, 0.2567, -0.4387, 0.3402, 0.0599};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
-0.1582, -0.0826, 0.4008, 0.0118, 0.2511, 0.1900, -0.2838, 0.2549, -0.2484, 0.2363,
-0.4083, -0.0295, -0.1161, 0.1211, 0.2509, -0.1414, -0.2628, -0.2992, 0.1517, 0.1817,
-0.2783, 0.3183, -0.1629, -0.3108, -0.3418, 0.0411, 0.2203, 0.2187, -0.2990, -0.0416,
0.0209, -0.1024, 0.4443, -0.4420, -0.0330, -0.3591, -0.2990, 0.2167, 0.1395, 0.2317,
0.1318, 0.1909, -0.3615, 0.1953, -0.2582, -0.2217, 0.3723, 0.1458, 0.2630, -0.0377,
0.1754, 0.0800, -0.3964, -0.3247, 0.4219, -0.0900, 0.3553, 0.2614, -0.1298, -0.1124};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348,
0.4178, 1.0175, 0.9212, -0.0468, 0.5691, -0.0882, 0.8340,
0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// 3 args
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
0},
seq,
w,
r);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.0863793, -0.227845, 0.0283059, -0.258645, 0.14187, 0.43541, 0.190748,
-0.530196, -0.440444, 0.293767, 0.0402142, 0.0788687, -0.013, -0.233298,
-0.0739615, 0.467104, 0.446285, 0.306097, 0.125636, 0.272524, 0.0949838,
0.0522264, -0.0872712, -0.084203, 0.140013, 0.12739, -0.0111171, -0.431119,
-0.468382, 0.388067, -0.109174, -0.119064, -0.0242958, -0.180555, 0.118983,
0.341578, 0.275472, 0.0853083, 0.332205, -0.0498387, 0.140338, 0.0319435,
0.247019, 0.275848, -0.158223, 0.0495464, -0.0681034, -0.418158, -0.523234,
0.469122, -0.306578, -0.221095, -0.106449, -0.248934, -0.00682121, 0.288407,
0.198708, 0.0695644, 0.211621, 0.00246037};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 4 args (bias is used)
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
-0.156667, -0.248473, 0.0255282, -0.24566, 0.211589, 0.192707, 0.253025,
-0.515283, -0.414174, 0.227127, 0.124773, 0.284532, -0.203929, -0.120517,
-0.2794, 0.547635, 0.518549, 0.0447674, 0.258461, 0.0502881, -0.219516,
0.0927382, -0.0760062, -0.0906231, 0.237615, -0.215638, 0.0128074, -0.425813,
-0.433378, 0.375383, -0.0381738, 0.117793, -0.180851, -0.0841245, -0.116649,
0.419469, 0.393515, -0.076395, 0.427436, -0.264071, -0.185829, 0.0483585,
0.242955, 0.25233, 0.0148512, -0.304127, -0.0616653, -0.411568, -0.491748,
0.476508, -0.313413, -0.0361821, -0.173037, -0.235731, -0.163113, 0.349008,
0.248674, -0.0295413, 0.291437, -0.165005};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 4 args (ih is used)
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
und,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.248571, 0.0982155, 0.00808877, 0.0986508, 0.0969705, 0.434692, -0.141696,
-0.164271, -0.121157, 0.863222, -0.0718357, 0.137711, 0.109221, -0.00207995,
0.0331223, 0.262705, 0.346587, 0.457158, 0.240744, 0.404261, 0.222779,
0.179757, -0.0845316, 0.0690347, 0.10204, 0.100155, -0.190286, -0.122062,
-0.274379, 0.547281, -0.226753, -0.0397069, 0.120404, 0.171299, 0.259989,
0.0864604, 0.111322, 0.331784, 0.604653, 0.181017, 0.237426, 0.0911999,
0.233106, 0.32996, -0.17175, 0.0190231, -0.154805, -0.205631, -0.405354,
0.519054, -0.380409, -0.0350301, -0.00633752, 0.403791, 0.181883, -0.0977917,
-0.0339407, 0.413089, 0.721238, 0.431879};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
TEST_CASE(gru_bidirectional_actv_funcs)
{
std::size_t batch_size = 2;
std::size_t seq_len = 3;
std::size_t hidden_size = 5;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, input_size}};
std::vector<float> w_data{
0.3809, 0.4283, 0.2294, -0.1018, -0.1226, -0.0037, 0.2449, -0.2712, -0.1418,
0.1363, -0.3453, -0.0693, -0.2281, 0.2699, -0.2024, -0.3085, -0.3338, 0.4109,
0.2605, -0.1019, -0.2813, 0.3323, -0.1590, 0.0788, -0.3535, 0.0397, 0.2732,
0.2906, 0.0519, 0.3617, -0.2664, 0.1441, 0.0464, -0.1057, 0.2204, -0.3294,
0.3670, 0.1411, 0.3852, 0.3572, 0.3918, 0.0483, -0.3906, -0.2841, -0.2778,
-0.4272, 0.2335, -0.1811, -0.3885, -0.1279, 0.1000, 0.0206, -0.3284, -0.0353,
0.1197, 0.1190, 0.3862, 0.0965, -0.0492, 0.2657, -0.1430, 0.0597, 0.1408,
-0.0315, 0.1248, 0.0751, 0.3838, 0.3020, 0.0515, 0.2375, -0.4255, 0.1714,
-0.0432, 0.3447, -0.2441, -0.3989, -0.3428, -0.4204, -0.4080, -0.2683, -0.0996,
-0.1685, -0.0532, -0.1258, 0.1663, -0.3526, -0.3915, -0.1721, 0.1292, -0.2279};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, 3 * hidden_size, hidden_size}};
std::vector<float> r_data{
-0.2683, 0.0699, -0.4021, -0.1379, 0.0042, -0.2447, 0.4006, 0.0270, -0.0446, 0.1063,
0.1381, 0.1310, -0.3596, 0.3869, 0.3929, 0.2750, 0.0890, 0.3069, -0.1691, -0.2194,
-0.1066, 0.3187, -0.4369, -0.0603, -0.0834, -0.1182, -0.2047, 0.3253, -0.2931, 0.2082,
0.0424, 0.1111, -0.2773, -0.0279, -0.0869, 0.1413, -0.4227, -0.3672, 0.4137, 0.0609,
0.4223, -0.4032, 0.2945, 0.3600, 0.3345, -0.3880, -0.0192, -0.0090, -0.2648, 0.4339,
-0.0155, 0.4437, -0.1766, 0.1957, 0.2475, 0.3773, -0.2710, 0.3289, -0.2077, -0.2534,
-0.0832, -0.1632, 0.0728, 0.2520, 0.4153, 0.1659, -0.4342, 0.0541, 0.1812, -0.2305,
0.4440, 0.0946, 0.0410, -0.4381, -0.3161, 0.3906, -0.3958, -0.4238, 0.1975, 0.3440,
0.1437, -0.0568, 0.1492, -0.4248, -0.3304, 0.2786, -0.1328, -0.3740, -0.3566, 0.3074,
0.0924, 0.2684, -0.1527, 0.1826, 0.2424, 0.2002, 0.3479, -0.1089, 0.3472, -0.3677,
-0.4231, -0.0798, -0.3709, 0.3924, 0.2774, -0.3690, -0.0233, 0.2845, 0.1969, 0.1618,
-0.3742, -0.3619, 0.2925, -0.1838, -0.1495, -0.3747, 0.0341, -0.4243, -0.0732, -0.3997,
0.2139, 0.2425, 0.4171, -0.3358, 0.3534, 0.0938, -0.0582, -0.2681, -0.4293, 0.1027,
0.4101, 0.2641, -0.4110, -0.1681, 0.3582, -0.2089, 0.0852, 0.0963, 0.3866, 0.1955,
-0.2174, 0.1996, -0.2252, 0.1748, 0.1833, -0.3155, 0.2567, -0.4387, 0.3402, 0.0599};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
std::vector<float> bias_data{
-0.1582, -0.0826, 0.4008, 0.0118, 0.2511, 0.1900, -0.2838, 0.2549, -0.2484, 0.2363,
-0.4083, -0.0295, -0.1161, 0.1211, 0.2509, -0.1414, -0.2628, -0.2992, 0.1517, 0.1817,
-0.2783, 0.3183, -0.1629, -0.3108, -0.3418, 0.0411, 0.2203, 0.2187, -0.2990, -0.0416,
0.0209, -0.1024, 0.4443, -0.4420, -0.0330, -0.3591, -0.2990, 0.2167, 0.1395, 0.2317,
0.1318, 0.1909, -0.3615, 0.1953, -0.2582, -0.2217, 0.3723, 0.1458, 0.2630, -0.0377,
0.1754, 0.0800, -0.3964, -0.3247, 0.4219, -0.0900, 0.3553, 0.2614, -0.1298, -0.1124};
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
std::vector<float> input{-0.8432,
-0.9887,
1.3041,
-2.6430,
-0.3306,
-0.8504,
-0.3933,
0.5151,
-0.2951,
0.0093,
-1.1948,
-0.1239,
0.0373,
1.3211,
0.7854,
-0.4838,
-1.0536,
-0.2529};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
std::vector<float> ih_data{-0.0468, 0.5691, -0.0882, 0.8340, 0.1483, -0.3902, -0.5348,
0.4178, 1.0175, 0.9212, -0.0468, 0.5691, -0.0882, 0.8340,
0.1483, -0.3902, -0.5348, 0.4178, 1.0175, 0.9212};
float clip = 0.0f;
// no activation function specified, so default is used.
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs = p.add_instruction(
migraphx::op::gru{hidden_size, {}, migraphx::op::rnn_direction::bidirectional, clip, 1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{-0.0959787, 0.0794681, 0.241526, 0.321104, 0.00693533,
-0.311839, -0.12802, -0.16643, -0.393849, 0.648851,
0.0248217, 0.435231, -0.144448, 0.101531, -0.111305,
0.381317, 0.468983, 0.230557, 0.348021, 0.180229};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 1 activation function (sigmoid) specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip,
0},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.325495, 0.469214, 0.164517, 0.585327, 0.328398, 0.457928, 0.065011, 0.35986,
0.545029, 0.859425, 0.427923, 0.667133, 0.41591, 0.540971, 0.365475, 0.482058,
0.565495, 0.556993, 0.607649, 0.543627, 0.428915, 0.537405, 0.306046, 0.518399,
0.403561, 0.410694, 0.301163, 0.407397, 0.471334, 0.726446, 0.309389, 0.612072,
0.360619, 0.590861, 0.366545, 0.367001, 0.433829, 0.501275, 0.72481, 0.512745,
0.463795, 0.539649, 0.487682, 0.554471, 0.395916, 0.430744, 0.415923, 0.424275,
0.409655, 0.698256, 0.126883, 0.554374, 0.216137, 0.671491, 0.263833, 0.0678646,
0.132732, 0.477083, 0.802206, 0.626802};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 1 activation function (tanh) specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.0919632, -0.398302, -0.0267752, -0.326771, 0.401983, 0.949841, 0.557779,
-0.745259, -1.52726, 0.946066, 0.330446, 0.301982, -0.443763, -0.0655817,
-0.326473, 0.861394, 0.560799, -0.101768, 0.145142, 0.128956, -0.329758,
0.458253, -0.339208, 0.289109, 0.36728, -1.09574, -0.181394, -0.575781,
-0.823083, 0.804262, -0.0965933, 0.20405, -0.430215, 0.00884668, 0.0716857,
0.844222, 0.516472, -0.191571, 0.596968, -0.545405, -0.336693, -0.0280516,
0.339058, 1.00367, 0.12655, -0.0984504, -0.174945, -0.5365, 0.183188,
0.66716, -0.704461, -0.393346, -0.627123, 0.210395, 0.0563026, 0.31419,
0.759629, 0.000258222, 0.350835, -0.682684};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 3 activation functions specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
auto concat_hs = p.add_instruction(
migraphx::op::gru{hidden_size,
{migraphx::op::tanh{}, migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, concat_hs);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.351019, 0.474363, 0.570719, 0.717703, 0.468843,
1.15142, 0.457633, 0.300962, 0.361245, 0.666199,
0.330446, 0.301982, -0.443763, -0.0655817, -0.326473,
0.861394, 0.560799, -0.101768, 0.145142, 0.128956};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// 4 activation functions all specified
{
migraphx::program p;
auto seq = p.add_literal(migraphx::literal{in_shape, input});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{},
migraphx::op::tanh{},
migraphx::op::sigmoid{},
migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{
0.0352243, 0.0146756, 0.00570925, 0.152446, 0.208683, 0.214342, -0.0454273,
-0.135177, -0.0800739, 0.903659, 0.0248217, 0.435231, -0.144448, 0.101531,
-0.111305, 0.381317, 0.468983, 0.230557, 0.348021, 0.180229, -0.0930435,
0.174108, -0.063834, 0.0909285, 0.22759, -0.221983, -0.139656, -0.0938906,
-0.247681, 0.69647, -0.159396, 0.299061, -0.116652, 0.238649, 0.109945,
0.192866, 0.307073, 0.191113, 0.658287, -0.0340374, -0.0959787, 0.0794681,
0.241526, 0.321104, 0.00693533, -0.311839, -0.12802, -0.16643, -0.393849,
0.648851, -0.395918, 0.231694, -0.160503, 0.383289, 0.0879262, -0.0254665,
0.079043, 0.322652, 0.752701, 0.243775};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
// seq length of 1
{
migraphx::program p;
seq_len = 1;
migraphx::shape in_shape_one{migraphx::shape::float_type,
{seq_len, batch_size, input_size}};
std::vector<float> input_one{-0.8432, -0.9887, 1.3041, -2.6430, -0.3306, -0.8504};
auto seq = p.add_literal(migraphx::literal{in_shape_one, input_one});
auto w = p.add_literal(migraphx::literal{w_shape, w_data});
auto r = p.add_literal(migraphx::literal{r_shape, r_data});
auto bias = p.add_literal(migraphx::literal{b_shape, bias_data});
auto und = p.add_instruction(migraphx::op::undefined{});
auto ih = p.add_literal(migraphx::literal{ih_shape, ih_data});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip,
1},
seq,
w,
r,
bias,
und,
ih);
p.compile(migraphx::cpu::target{});
auto hs_concat = p.eval({});
std::vector<float> hs_data;
hs_concat.visit([&](auto output) { hs_data.assign(output.begin(), output.end()); });
std::vector<float> hs_data_gold{0.0352243, 0.0146756, 0.00570925, 0.152446, 0.208683,
0.214342, -0.0454273, -0.135177, -0.0800739, 0.903659,
-0.0271321, 0.624762, -0.117084, 0.509115, -0.0175078,
-0.144492, -0.0115366, 0.409153, 0.487015, 0.550755};
EXPECT(migraphx::verify_range(hs_data, hs_data_gold));
}
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/dead_code_elimination_test.cpp
View file @ a5c1c7f6
#include <migraphx/dead_code_elimination.hpp>
#include <basic_ops.hpp>
#include <migraphx/operators.hpp>
#include <test.hpp>
struct dce_target
......@@ -111,4 +112,21 @@ TEST_CASE(depth_test)
EXPECT(result != migraphx::literal{4});
}
TEST_CASE(undefined_test)
{
migraphx::program p;
auto one = p.add_literal(1);
auto two = p.add_literal(2);
auto undef = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(sum_op{}, one, two);
auto count = std::distance(p.begin(), p.end());
p.compile(dce_target{});
EXPECT(std::distance(p.begin(), p.end()) == count - 1);
EXPECT(not p.has_instruction(undef));
auto result = p.eval({});
EXPECT(result == migraphx::literal{3});
EXPECT(result != migraphx::literal{4});
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/eliminate_allocation_test.cpp
View file @ a5c1c7f6
......@@ -103,6 +103,6 @@ TEST_CASE(float_aligned)
int main(int argc, const char* argv[])
{
setenv("MIGRAPH_DISABLE_MEMORY_COLORING", "1", 1);
setenv("MIGRAPHX_DISABLE_MEMORY_COLORING", "1", 1);
test::run(argc, argv);
}
test/eliminate_concat_test.cpp
View file @ a5c1c7f6
......@@ -63,9 +63,9 @@ struct allocate
}
};
struct fred_op
struct simple_op
{
std::string name() const { return "fred_op"; }
std::string name() const { return "simple_op"; }
migraphx::shape compute_shape(const std::vector<migraphx::shape>& inputs) const
{
migraphx::check_shapes{inputs}.has(1);
......@@ -77,44 +77,127 @@ struct fred_op
{
return args.at(0);
}
int output_alias(const std::vector<migraphx::shape>&) const { return 0; }
};
template <class... Ts>
migraphx::shape create_shape(Ts... xs)
{
return migraphx::shape{migraphx::shape::float_type, {std::size_t(xs)...}};
}
using load = migraphx::op::load;
using identity = migraphx::op::identity;
TEST_CASE(simple)
{
auto create_test_program = [] {
migraphx::program p;
auto a1 = p.add_instruction(allocate{create_shape(1)});
auto p1 = p.add_instruction(simple_op{}, a1);
auto a2 = p.add_instruction(allocate{create_shape(1)});
auto p2 = p.add_instruction(simple_op{}, a2);
std::size_t axis = 0;
auto a3 = p.add_instruction(allocate{create_shape(2)});
p.add_instruction(concat(axis), p1, p2, a3);
return p;
};
auto create_control_program = [] {
migraphx::program p;
auto a1 = p.add_instruction(allocate{create_shape(2)});
auto l1 = p.add_instruction(load{create_shape(1), 0}, a1);
auto p1 = p.add_instruction(simple_op{}, l1);
auto l2 = p.add_instruction(load{create_shape(1), 4}, a1);
auto p2 = p.add_instruction(simple_op{}, l2);
p.add_instruction(identity{}, a1, p1, p2);
return p;
};
auto p1 = create_test_program();
auto p2 = create_control_program();
p1.compile(eliminate_concat_target{});
EXPECT(p1 == p2);
}
TEST_CASE(nested)
{
auto concat_test_program = [](auto& p) {
auto a1 = p.add_instruction(allocate{create_shape(1)});
auto p1 = p.add_instruction(simple_op{}, a1);
auto a2 = p.add_instruction(allocate{create_shape(1)});
auto p2 = p.add_instruction(simple_op{}, a2);
std::size_t axis = 0;
auto a3 = p.add_instruction(allocate{create_shape(2)});
return p.add_instruction(concat(axis), p1, p2, a3);
};
auto create_test_program = [&] {
migraphx::program p;
auto concat1 = concat_test_program(p);
auto concat2 = concat_test_program(p);
std::size_t axis = 0;
auto a1 = p.add_instruction(allocate{create_shape(4)});
p.add_instruction(concat(axis), concat1, concat2, a1);
return p;
};
auto concat_control_program = [](auto& p, auto a1) {
auto l1 = p.add_instruction(load{create_shape(1), 0}, a1);
auto p1 = p.add_instruction(simple_op{}, l1);
auto l2 = p.add_instruction(load{create_shape(1), 4}, a1);
auto p2 = p.add_instruction(simple_op{}, l2);
return p.add_instruction(identity{}, a1, p1, p2);
};
auto create_control_program = [&] {
migraphx::program p;
auto a1 = p.add_instruction(allocate{create_shape(4)});
auto l1 = p.add_instruction(load{create_shape(2), 0}, a1);
auto concat1 = concat_control_program(p, l1);
auto l2 = p.add_instruction(load{create_shape(2), 8}, a1);
auto concat2 = concat_control_program(p, l2);
p.add_instruction(identity{}, a1, concat1, concat2);
return p;
};
auto p1 = create_test_program();
auto p2 = create_control_program();
p1.compile(eliminate_concat_target{});
EXPECT(p1 == p2);
}
TEST_CASE(basic)
{
auto create_test_program = []() {
auto create_test_program = [] {
migraphx::program p;
auto a1 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {1, 2, 8, 8}}});
auto p1 = p.add_instruction(fred_op{}, a1);
auto p1 = p.add_instruction(simple_op{}, a1);
auto a2 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {1, 3, 8, 8}}});
auto p2 = p.add_instruction(fred_op{}, a2);
auto p2 = p.add_instruction(simple_op{}, a2);
auto a3 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {1, 5, 8, 8}}});
auto p3 = p.add_instruction(fred_op{}, a3);
auto p3 = p.add_instruction(simple_op{}, a3);
std::size_t axis = 1;
auto a4 = p.add_instruction(
allocate{migraphx::shape{migraphx::shape::float_type, {1, 10, 8, 8}}});
p.add_instruction(concat(axis), p1, p2, p3, a4);
return p;
};
auto create_control_program = []() {
auto create_control_program = [] {
migraphx::program p;
auto a1 = p.add_instruction(
allocate{migraphx::shape{migraphx::shape::float_type, {1, 10, 8, 8}}});
auto l1 = p.add_instruction(
migraphx::op::load{migraphx::shape{migraphx::shape::float_type, {1, 2, 8, 8}}, 0},
{a1});
auto p1 = p.add_instruction(fred_op{}, l1);
load{migraphx::shape{migraphx::shape::float_type, {1, 2, 8, 8}}, 0}, {a1});
auto p1 = p.add_instruction(simple_op{}, l1);
auto l2 = p.add_instruction(
migraphx::op::load{migraphx::shape{migraphx::shape::float_type, {1, 3, 8, 8}}, 512},
{a1});
auto p2 = p.add_instruction(fred_op{}, l2);
load{migraphx::shape{migraphx::shape::float_type, {1, 3, 8, 8}}, 512}, {a1});
auto p2 = p.add_instruction(simple_op{}, l2);
auto l3 = p.add_instruction(
migraphx::op::load{migraphx::shape{migraphx::shape::float_type, {1, 5, 8, 8}}, 1280},
{a1});
auto p3 = p.add_instruction(fred_op{}, l3);
p.add_instruction(migraphx::op::identity{}, {a1, p1, p2, p3});
load{migraphx::shape{migraphx::shape::float_type, {1, 5, 8, 8}}, 1280}, {a1});
auto p3 = p.add_instruction(simple_op{}, l3);
p.add_instruction(identity{}, {a1, p1, p2, p3});
return p;
};
......@@ -127,34 +210,34 @@ TEST_CASE(basic)
TEST_CASE(wont_work)
{
auto create_test_program = []() {
auto create_test_program = [] {
migraphx::program p;
auto a1 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 2, 8, 8}}});
auto p1 = p.add_instruction(fred_op{}, a1);
auto p1 = p.add_instruction(simple_op{}, a1);
auto a2 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 3, 8, 8}}});
auto p2 = p.add_instruction(fred_op{}, a2);
auto p2 = p.add_instruction(simple_op{}, a2);
auto a3 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 5, 8, 8}}});
auto p3 = p.add_instruction(fred_op{}, a3);
auto p3 = p.add_instruction(simple_op{}, a3);
std::size_t axis = 1;
auto a4 = p.add_instruction(
allocate{migraphx::shape{migraphx::shape::float_type, {2, 10, 8, 8}}});
p.add_instruction(concat(axis), p1, p2, p3, a4);
return p;
};
auto create_control_program = []() {
auto create_control_program = [] {
migraphx::program p;
auto a1 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 2, 8, 8}}});
auto p1 = p.add_instruction(fred_op{}, a1);
auto p1 = p.add_instruction(simple_op{}, a1);
auto a2 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 3, 8, 8}}});
auto p2 = p.add_instruction(fred_op{}, a2);
auto p2 = p.add_instruction(simple_op{}, a2);
auto a3 =
p.add_instruction(allocate{migraphx::shape{migraphx::shape::float_type, {2, 5, 8, 8}}});
auto p3 = p.add_instruction(fred_op{}, a3);
auto p3 = p.add_instruction(simple_op{}, a3);
std::size_t axis = 1;
auto a4 = p.add_instruction(
allocate{migraphx::shape{migraphx::shape::float_type, {2, 10, 8, 8}}});
......
test/eval_test.cpp
View file @ a5c1c7f6
......@@ -8,9 +8,57 @@
struct id_target
{
struct context
{
void finish() const {}
};
migraphx::context ctx = context{};
std::string name() const { return "id"; }
std::vector<migraphx::pass> get_passes(migraphx::context&) const { return {}; }
migraphx::context get_context() const { return {}; }
migraphx::context get_context() const { return ctx; }
};
struct id_ctx_op
{
std::string name() const { return "id_ctx_op"; }
migraphx::argument
compute(id_target::context&, const migraphx::shape&, std::vector<migraphx::argument> args) const
{
if(args.empty())
return {};
return args.front();
}
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.empty())
return {};
return inputs.front();
}
int output_alias(const std::vector<migraphx::shape>&) const { return 0; }
};
struct id_ctx_final_op
{
std::string name() const { return "id_ctx_final_op"; }
migraphx::argument compute(const migraphx::shape&, std::vector<migraphx::argument> args) const
{
if(args.empty())
return {};
return args.front();
}
void finalize(id_target::context&, const migraphx::shape&, const std::vector<migraphx::shape>&)
{
}
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.empty())
return {};
return inputs.front();
}
int output_alias(const std::vector<migraphx::shape>&) const { return 0; }
};
struct reverse_pass
......@@ -224,4 +272,52 @@ TEST_CASE(double_reverse_target_test)
EXPECT(result != migraphx::literal{4});
}
// Check that the program doesnt modify the context directly, and only the operators modify the
// context
TEST_CASE(eval_context1)
{
migraphx::program p;
id_target t{};
EXPECT(is_shared(t.ctx, t.get_context()));
auto one = p.add_literal(1);
auto two = p.add_literal(2);
p.add_instruction(sum_op{}, one, two);
p.compile(t);
EXPECT(is_shared(t.ctx, p.get_context()));
p.eval({});
EXPECT(is_shared(t.ctx, p.get_context()));
}
TEST_CASE(eval_context2)
{
migraphx::program p;
id_target t{};
EXPECT(is_shared(t.ctx, t.get_context()));
auto one = p.add_literal(1);
auto two = p.add_literal(2);
p.add_instruction(id_ctx_op{}, one, two);
p.compile(t);
EXPECT(is_shared(t.ctx, p.get_context()));
p.eval({});
// id_ctx_op will modify the context
EXPECT(not is_shared(t.ctx, p.get_context()));
}
TEST_CASE(eval_context3)
{
migraphx::program p;
id_target t{};
EXPECT(is_shared(t.ctx, t.get_context()));
auto one = p.add_literal(1);
auto two = p.add_literal(2);
p.add_instruction(id_ctx_final_op{}, one, two);
p.compile(t);
// Finalizer will modify the context
EXPECT(not is_shared(t.ctx, p.get_context()));
auto ctx = p.get_context();
p.eval({});
EXPECT(is_shared(ctx, p.get_context()));
EXPECT(not is_shared(t.ctx, p.get_context()));
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/gpu/miopen.cpp
View file @ a5c1c7f6
......@@ -122,7 +122,14 @@ migraphx::argument run_gpu(migraphx::program& p)
m[x.first] =
migraphx::gpu::to_gpu(migraphx::generate_argument(x.second, get_hash(x.first)));
}
// Program should have an output parameter
EXPECT(bool{m.find("output") != m.end()});
// Ensure the program doesn't modify the context in a dry run
auto ctx = p.get_context();
assert(&ctx != &p.get_context());
EXPECT(is_shared(ctx, p.get_context()));
p.dry_run(m);
EXPECT(is_shared(ctx, p.get_context()));
return migraphx::gpu::from_gpu(p.eval(m));
}
......@@ -203,6 +210,32 @@ struct test_mul
}
};
struct test_exp
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {6}};
std::vector<float> data{0.1f, 0.2f, 1.f, 2.f, 0.6f, 10.f};
auto x = p.add_literal(s, data);
p.add_instruction(migraphx::op::exp{}, x);
return p;
}
};
struct test_log
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {6}};
std::vector<float> data{0.1f, 0.2f, 1.f, 2.f, 0.6f, 100.f};
auto x = p.add_literal(s, data);
p.add_instruction(migraphx::op::log{}, x);
return p;
}
};
struct test_sin
{
migraphx::program create_program() const
......@@ -215,6 +248,101 @@ struct test_sin
}
};
struct test_cos
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {8}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::cos{}, x);
return p;
}
};
struct test_tan
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::tan{}, x);
return p;
}
};
struct test_sinh
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::sinh{}, x);
return p;
}
};
struct test_cosh
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::cosh{}, x);
return p;
}
};
struct test_tanh
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
p.add_instruction(migraphx::op::tanh{}, x);
return p;
}
};
struct test_asin
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::asin{}, x);
return p;
}
};
struct test_acos
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::acos{}, x);
return p;
}
};
struct test_atan
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::double_type, {16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::atan{}, x);
return p;
}
};
struct test_scale
{
migraphx::program create_program() const
......@@ -362,6 +490,38 @@ struct test_triadd_broadcast
}
};
struct test_sub
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", s);
auto y = p.add_parameter("y", s);
auto z = p.add_parameter("z", s);
auto diff = p.add_instruction(migraphx::op::sub{}, x, y);
p.add_instruction(migraphx::op::sub{}, diff, z);
return p;
}
};
struct test_sub2
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {2, 3}};
migraphx::shape b{migraphx::shape::float_type, {3}};
auto x = p.add_parameter("x", s);
auto y = p.add_parameter("y", s);
auto z = p.add_parameter("z", b);
auto zb = p.add_instruction(migraphx::op::broadcast{1, s}, z);
auto diff = p.add_instruction(migraphx::op::sub{}, x, y);
p.add_instruction(migraphx::op::sub{}, diff, zb);
return p;
}
};
struct test_softmax
{
migraphx::program create_program() const
......@@ -413,6 +573,22 @@ struct test_conv2
}
};
struct test_group_conv
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 4, 16, 16}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 1, 3, 3}});
migraphx::op::convolution op;
op.group = 4;
p.add_instruction(op, input, weights);
return p;
}
};
struct test_conv_relu
{
migraphx::program create_program() const
......@@ -456,6 +632,28 @@ struct test_add_relu
}
};
struct test_sigmoid
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
p.add_instruction(migraphx::op::sigmoid{}, x);
return p;
}
};
struct test_abs
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
p.add_instruction(migraphx::op::abs{}, x);
return p;
}
};
struct test_leaky_relu
{
migraphx::program create_program() const
......@@ -467,6 +665,29 @@ struct test_leaky_relu
}
};
struct test_elu
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
p.add_instruction(migraphx::op::leaky_relu{1.0}, x);
return p;
}
};
struct test_relu_lrn
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 5, 2, 2}});
auto y = p.add_instruction(migraphx::op::relu{}, x);
p.add_instruction(migraphx::op::lrn{0.0001, 0.75, 1.0, 5}, y);
return p;
}
};
struct test_conv_pooling
{
migraphx::program create_program() const
......@@ -764,6 +985,73 @@ struct test_concat_relu
}
};
struct test_pad
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s0{migraphx::shape::int32_type, {1, 96, 165, 165}};
std::vector<int64_t> pads0 = {0, 0, 0, 0, 0, 0, 1, 1};
std::vector<int64_t> pads1 = {0, 0, 0, 0, 1, 1, 1, 1};
std::vector<int64_t> pads2 = {1, 1, 1, 1, 0, 0, 0, 0};
std::vector<int64_t> pads3 = {1, 0, 1, 0, 1, 0, 2, 0};
auto l0 = p.add_parameter("x", s0);
p.add_instruction(migraphx::op::pad{pads0}, l0);
p.add_instruction(migraphx::op::pad{pads1}, l0);
p.add_instruction(migraphx::op::pad{pads2}, l0);
p.add_instruction(migraphx::op::pad{pads3}, l0);
return p;
}
};
struct test_pooling_autopad
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s0{migraphx::shape::float_type, {1, 3, 63, 63}};
auto l0 = p.add_parameter("x", s0);
migraphx::op::pooling op{"max"};
op.padding_mode = migraphx::op::padding_mode_t::same;
op.lengths = {2, 2};
op.stride = {2, 2};
p.add_instruction(op, l0);
return p;
}
};
struct test_gather
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
migraphx::shape s_indices{migraphx::shape::int32_type, {2, 2}};
std::vector<int> indices{1, 2, 2, 1};
auto a0 = p.add_parameter("data", s);
auto a1 = p.add_literal(migraphx::literal{s_indices, indices});
int axis = 0;
p.add_instruction(migraphx::op::gather{axis}, a0, a1);
return p;
}
};
struct test_gather_neg_axis
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
migraphx::shape s_indices{migraphx::shape::int32_type, {2, 2}};
std::vector<int> indices{1, 2, 2, 1};
auto a0 = p.add_parameter("data", s);
auto a1 = p.add_literal(migraphx::literal{s_indices, indices});
int axis = -1;
p.add_instruction(migraphx::op::gather{axis}, a0, a1);
return p;
}
};
void manual_identity()
{
migraphx::program p;
......@@ -847,15 +1135,1008 @@ struct test_conv_bn_relu_pooling2
}
};
struct test_rnn_forward
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_rnn_forward10
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 10;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_rnn_reverse
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
struct test_rnn_reverse2
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 2;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
struct test_rnn_3args
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r);
return p;
}
};
struct test_rnn_4args
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 5;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias);
return p;
}
};
struct test_rnn_5args
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 10;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 1;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_rnn_bidirectional
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_rnn_bidirectional10
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 10;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_rnn_bi_3args
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 10;
std::size_t hidden_size = 4;
std::size_t input_size = 3;
std::size_t num_dirct = 2;
float clip = 0.0f;
migraphx::program p;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto output =
p.add_instruction(migraphx::op::rnn{hidden_size,
{migraphx::op::tanh{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_gru_forward_last
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_gru_forward_hs
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
struct test_gru_forward_3args_und
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r,
und,
und,
und);
return p;
}
};
struct test_gru_forward_3args
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r);
return p;
}
};
struct test_gru_forward_seq1
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::forward,
clip},
seq,
w,
r);
return p;
}
};
struct test_gru_forward_default_actv
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(
migraphx::op::gru{hidden_size, {}, migraphx::op::rnn_direction::forward, clip},
seq,
w,
r);
return p;
}
};
struct test_gru_forward_default_actv1
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(
migraphx::op::gru{
hidden_size, {migraphx::op::sigmoid{}}, migraphx::op::rnn_direction::forward, clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
struct test_gru_reverse_last
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_gru_reverse_3args
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::reverse,
clip},
seq,
w,
r);
return p;
}
};
struct test_gru_bidirct_last
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
auto output =
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
p.add_instruction(migraphx::op::rnn_last_output{}, output);
return p;
}
};
struct test_gru_bidirct_hs
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
struct test_gru_bidirct_3args_und
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
und,
und,
und);
return p;
}
};
struct test_gru_bidirct_3args
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r);
return p;
}
};
struct test_gru_bidirct_seq1
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}, migraphx::op::tanh{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r);
return p;
}
};
struct test_gru_bidirct_default_actv
{
migraphx::program create_program() const
{
std::size_t batch_size = 2;
std::size_t seq_len = 1;
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
p.add_instruction(
migraphx::op::gru{hidden_size, {}, migraphx::op::rnn_direction::bidirectional, clip},
seq,
w,
r);
return p;
}
};
struct test_gru_bidirct_default_actv1
{
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;
migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
migraphx::shape w_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, input_size}};
migraphx::shape r_shape{migraphx::shape::float_type,
{num_dirct, 3 * hidden_size, hidden_size}};
migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
auto seq = p.add_parameter("seq", in_shape);
auto w = p.add_parameter("w", w_shape);
auto r = p.add_parameter("r", r_shape);
auto bias = p.add_parameter("bias", b_shape);
auto ih = p.add_parameter("ih", ih_shape);
auto und = p.add_instruction(migraphx::op::undefined{});
p.add_instruction(migraphx::op::gru{hidden_size,
{migraphx::op::sigmoid{}},
migraphx::op::rnn_direction::bidirectional,
clip},
seq,
w,
r,
bias,
und,
ih);
return p;
}
};
int main()
{
verify_program<test_relu_lrn>();
verify_program<test_pooling_autopad>();
verify_program<test_abs>();
verify_program<test_concat>();
verify_program<test_concat2>();
verify_program<test_concat_relu>();
verify_program<test_pad>();
verify_program<test_add>();
verify_program<test_add_half>();
verify_program<test_mul>();
verify_program<test_exp>();
verify_program<test_log>();
verify_program<test_sin>();
verify_program<test_cos>();
verify_program<test_tan>();
verify_program<test_sinh>();
verify_program<test_cosh>();
verify_program<test_tanh>();
verify_program<test_asin>();
verify_program<test_acos>();
verify_program<test_atan>();
verify_program<test_scale>();
verify_program<test_triadd>();
verify_program<test_triadd2>();
......@@ -865,14 +2146,19 @@ int main()
verify_program<test_add_broadcast4>();
verify_program<test_add_broadcast5>();
verify_program<test_triadd_broadcast>();
verify_program<test_sub>();
verify_program<test_sub2>();
verify_program<test_softmax>();
verify_program<test_softmax2>();
verify_program<test_conv>();
verify_program<test_conv2>();
verify_program<test_group_conv>();
verify_program<test_conv_relu>();
verify_program<test_conv_relu_half>();
verify_program<test_add_relu>();
verify_program<test_leaky_relu>();
verify_program<test_sigmoid>();
verify_program<test_elu>();
verify_program<test_conv_pooling>();
verify_program<test_global_avg_pooling>();
verify_program<test_global_max_pooling>();
......@@ -890,4 +2176,32 @@ int main()
verify_program<test_conv_bn_relu_pooling>();
verify_program<test_conv_bn_relu_pooling2>();
verify_program<test_slice>();
verify_program<test_gather>();
verify_program<test_gather_neg_axis>();
verify_program<test_rnn_forward>();
verify_program<test_rnn_forward10>();
verify_program<test_rnn_reverse>();
verify_program<test_rnn_reverse2>();
verify_program<test_rnn_3args>();
verify_program<test_rnn_4args>();
verify_program<test_rnn_5args>();
verify_program<test_rnn_bidirectional>();
verify_program<test_rnn_bidirectional10>();
verify_program<test_rnn_bi_3args>();
verify_program<test_gru_forward_last>();
verify_program<test_gru_forward_hs>();
verify_program<test_gru_forward_3args_und>();
verify_program<test_gru_forward_3args>();
verify_program<test_gru_forward_seq1>();
verify_program<test_gru_forward_default_actv>();
verify_program<test_gru_forward_default_actv1>();
verify_program<test_gru_reverse_last>();
verify_program<test_gru_reverse_3args>();
verify_program<test_gru_bidirct_last>();
verify_program<test_gru_bidirct_hs>();
verify_program<test_gru_bidirct_3args_und>();
verify_program<test_gru_bidirct_3args>();
verify_program<test_gru_bidirct_seq1>();
verify_program<test_gru_bidirct_default_actv>();
verify_program<test_gru_bidirct_default_actv1>();
}
test/include/basic_ops.hpp
View file @ a5c1c7f6
......@@ -10,13 +10,13 @@ struct sum_op
{
migraphx::argument result;
if(args.size() != 2)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape() != args[1].get_shape())
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().size() != 1)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().front() != 1)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
args[0].visit_at([&](auto x) {
args[1].visit_at([&](auto y) { result = migraphx::literal{x + y}.get_argument(); });
......@@ -27,7 +27,7 @@ struct sum_op
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.size() != 2)
MIGRAPH_THROW("Wrong inputs");
MIGRAPHX_THROW("Wrong inputs");
return inputs.front();
}
};
......@@ -40,13 +40,13 @@ struct minus_op
{
migraphx::argument result;
if(args.size() != 2)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape() != args[1].get_shape())
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().size() != 1)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
if(args[0].get_shape().lens().front() != 1)
MIGRAPH_THROW("Wrong args");
MIGRAPHX_THROW("Wrong args");
args[0].visit_at([&](auto x) {
args[1].visit_at([&](auto y) { result = migraphx::literal{x - y}.get_argument(); });
......@@ -57,7 +57,7 @@ struct minus_op
migraphx::shape compute_shape(std::vector<migraphx::shape> inputs) const
{
if(inputs.size() != 2)
MIGRAPH_THROW("Wrong inputs");
MIGRAPHX_THROW("Wrong inputs");
return inputs.front();
}
};
......
test/include/rob.hpp
View file @ a5c1c7f6
#ifndef MIGRAPH_GUARD_ROB_HPP
#define MIGRAPH_GUARD_ROB_HPP
#ifndef MIGRAPHX_GUARD_ROB_HPP
#define MIGRAPHX_GUARD_ROB_HPP
#ifdef __clang__
#pragma clang diagnostic push
......@@ -30,7 +30,8 @@ struct mem_data_ptr
using type = T C::*;
};
#define MIGRAPH_ROB(name, Type, C, mem) \
// NOLINTNEXTLINE
#define MIGRAPHX_ROB(name, Type, C, mem) \
struct name##_tag : mem_data_ptr<C, Type> \
{ \
}; \
......
test/include/test.hpp
View file @ a5c1c7f6
......@@ -7,8 +7,8 @@
#include <unordered_map>
#include <vector>
#ifndef MIGRAPH_GUARD_TEST_TEST_HPP
#define MIGRAPH_GUARD_TEST_TEST_HPP
#ifndef MIGRAPHX_GUARD_TEST_TEST_HPP
#define MIGRAPHX_GUARD_TEST_TEST_HPP
namespace test {
// NOLINTNEXTLINE
......@@ -111,7 +111,7 @@ struct lhs_expression
struct capture
{
template <class T>
auto operator->*(const T& x)
auto operator->*(const T& x) const
{
return make_lhs_expression(x);
}
......@@ -189,7 +189,7 @@ inline auto& get_test_cases()
inline void add_test_case(std::string name, std::function<void()> f)
{
get_test_cases().emplace_back(name, f);
get_test_cases().emplace_back(std::move(name), std::move(f));
}
struct auto_register
......@@ -224,7 +224,13 @@ inline void run(int argc, const char* argv[])
std::unordered_map<std::string, std::function<void()>> m(get_test_cases().begin(),
get_test_cases().end());
for(auto&& name : cases)
run_test_case(name, m[name]);
{
auto f = m.find(name);
if(f == m.end())
std::cout << "[ ERROR ] Test case '" << name << "' not found." << std::endl;
else
run_test_case(name, f->second);
}
}
}
......@@ -248,6 +254,7 @@ inline void run(int argc, const char* argv[])
// NOLINTNEXTLINE
#define TEST_CAT(x, ...) TEST_PRIMITIVE_CAT(x, __VA_ARGS__)
// NOLINTNEXTLINE
#define TEST_PRIMITIVE_CAT(x, ...) x##__VA_ARGS__
// NOLINTNEXTLINE
......
test/matcher.cpp
View file @ a5c1c7f6
......@@ -385,7 +385,10 @@ struct match_find_sum
migraphx::instruction_ref ins;
auto matcher() const { return match::name("sum"); }
void apply(migraphx::program&, match::matcher_result r) const { EXPECT(bool{r.result == ins}); }
void apply(migraphx::program&, const match::matcher_result& r) const
{
EXPECT(bool{r.result == ins});
}
};
struct match_find_literal
......@@ -393,7 +396,7 @@ struct match_find_literal
migraphx::instruction_ref ins;
auto matcher() const { return match::name("@literal"); }
void apply(migraphx::program&, match::matcher_result r) const
void apply(migraphx::program&, const match::matcher_result& r) const
{
EXPECT(bool{r.result != ins});
EXPECT(r.result->name() == "@literal");
......
test/onnx/acos_test.onnx 0 → 100644
View file @ a5c1c7f6
 acos-example:;
xy"Acos test_acosZ
x


b
y


B
\ No newline at end of file
test/onnx/add_bcast_test.onnx 0 → 100644
View file @ a5c1c7f6
add_bcast-example:
-
0
12"Add*
axis*
broadcasttest-add_bcastZ
0




Z
1


b
2




B
\ No newline at end of file
test/onnx/asin_test.onnx 0 → 100644
View file @ a5c1c7f6
 asin-example:;
xy"Asin test_asinZ
x


b
y


B
\ No newline at end of file
test/onnx/atan_test.onnx 0 → 100644
View file @ a5c1c7f6
 atan-example:;
xy"Atan test_atanZ
x


b
y


B
\ No newline at end of file
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