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[GPU] Fixed invalid is_dynamic flag value for scalar inputs (#16565)

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Vladimir Paramuzov 2023-03-28 10:03:51 +04:00 committed by GitHub
parent d06a22f4e4
commit 906939a1f1
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 64 additions and 2 deletions
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4
src/plugins/intel_gpu/src/graph/program_node.cpp
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@ -359,11 +359,11 @@ bool program_node::is_dynamic() {
}
bool program_node::is_dynamic_output_layout(size_t idx) const {
return (output_layouts[idx].is_dynamic()) || (output_layouts[idx].get_partial_shape().size() == 0);
return output_layouts[idx].is_dynamic();
}
bool program_node::is_dynamic_output_layout(size_t idx) {
return (output_layouts[idx].is_dynamic()) || (output_layouts[idx].get_partial_shape().size() == 0);
return output_layouts[idx].is_dynamic();
}
bool program_node::has_padded_dependency() {

62
src/plugins/intel_gpu/tests/module_tests/network_test.cpp Normal file
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@ -0,0 +1,62 @@
// Copyright (C) 2023 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "test_utils.h"
#include "intel_gpu/graph/network.hpp"
#include "intel_gpu/primitives/input_layout.hpp"
#include "intel_gpu/primitives/data.hpp"
#include "intel_gpu/primitives/broadcast.hpp"
#include "intel_gpu/primitives/concatenation.hpp"
#include <memory>
using namespace cldnn;
using namespace ::tests;
TEST(network_test, model_with_scalar_input_is_not_dynamic) {
auto& engine = get_test_engine();
ov::PartialShape input_shape = {};
layout in_layout{input_shape, data_types::f32, format::bfyx};
topology topology;
topology.add(input_layout("input", in_layout));
topology.add(broadcast("output", input_info("input"), {1, 2}, ov::AxisSet{}));
network net(engine, topology);
ASSERT_FALSE(net.is_dynamic());
}
TEST(network_test, model_with_empty_input_is_not_dynamic) {
auto& engine = get_test_engine();
ov::PartialShape input_shape = {1, 0};
layout in_layout{input_shape, data_types::f32, format::bfyx};
auto const_mem = engine.allocate_memory({{1, 2}, data_types::f32, format::bfyx});
topology topology;
topology.add(input_layout("input0", in_layout));
topology.add(data("input1", const_mem));
topology.add(concatenation("output", { input_info("input0"), input_info("input1") }, 1));
network net(engine, topology, {ov::intel_gpu::allow_new_shape_infer(true)});
ASSERT_FALSE(net.is_dynamic());
}
TEST(network_test, model_with_dynamic_input_is_dynamic) {
auto& engine = get_test_engine();
ov::PartialShape input_shape = {1, -1};
layout in_layout{input_shape, data_types::f32, format::bfyx};
auto const_mem = engine.allocate_memory({{1, 2}, data_types::f32, format::bfyx});
topology topology;
topology.add(input_layout("input0", in_layout));
topology.add(data("input1", const_mem));
topology.add(concatenation("output", { input_info("input0"), input_info("input1") }, 1));
network net(engine, topology, {ov::intel_gpu::allow_new_shape_infer(true)});
ASSERT_TRUE(net.is_dynamic());
}