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[GPU] Fix strided slice kernel with begin/end/stride as inputs (#16302)

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Vladimir Paramuzov 2023-03-15 16:25:45 +04:00 committed by GitHub
parent d59d8ba3a2
commit 28d3e1087e
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 79 additions and 28 deletions
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48
src/plugins/intel_gpu/src/kernel_selector/cl_kernels/strided_slice_ref.cl
View File

@ -10,17 +10,15 @@ inline void FUNC(get_slice_step)(OPTIONAL_SHAPE_INFO_ARG
int* step_batch, int* step_feature, int* step_batch, int* step_feature,
int* step_z, int* step_y, int* step_x) int* step_z, int* step_y, int* step_x)
{ {
const uint batch_index = 0;
const uint feature_index = 1;
#ifdef OUTPUT_LAYOUT_BFYX #ifdef OUTPUT_LAYOUT_BFYX
const uint batch_index = STRIDE_GET_INDEX(0, 0, 0, 0); const uint y_index = 2;
const uint feature_index = STRIDE_GET_INDEX(1, 0, 0, 0); const uint x_index = 3;
const uint y_index = STRIDE_GET_INDEX(2, 0, 0, 0);
const uint x_index = STRIDE_GET_INDEX(3, 0, 0, 0);
#elif OUTPUT_LAYOUT_BFZYX #elif OUTPUT_LAYOUT_BFZYX
const uint batch_index = STRIDE_GET_INDEX(0, 0, 0, 0, 0); const uint z_index = 2;
const uint feature_index = STRIDE_GET_INDEX(1, 0, 0, 0, 0); const uint y_index = 3;
const uint z_index = STRIDE_GET_INDEX(2, 0, 0, 0, 0); const uint x_index = 4;
const uint y_index = STRIDE_GET_INDEX(3, 0, 0, 0, 0);
const uint x_index = STRIDE_GET_INDEX(4, 0, 0, 0, 0);
#endif #endif
*step_batch = batch_index < STRIDE_DIMS ? stride[batch_index] : 1; *step_batch = batch_index < STRIDE_DIMS ? stride[batch_index] : 1;
@ -59,17 +57,15 @@ inline void FUNC(get_slice_end)(OPTIONAL_SHAPE_INFO_ARG
const uint out_z_num = INPUT0_SIZE_Z; const uint out_z_num = INPUT0_SIZE_Z;
const uint out_y_num = INPUT0_SIZE_Y; const uint out_y_num = INPUT0_SIZE_Y;
const uint out_x_num = INPUT0_SIZE_X; const uint out_x_num = INPUT0_SIZE_X;
const uint batch_index = 0;
const uint feature_index = 1;
#ifdef OUTPUT_LAYOUT_BFYX #ifdef OUTPUT_LAYOUT_BFYX
const uint batch_index = END_GET_INDEX(0, 0, 0, 0); const uint y_index = 2;
const uint feature_index = END_GET_INDEX(1, 0, 0, 0); const uint x_index = 3;
const uint y_index = END_GET_INDEX(2, 0, 0, 0);
const uint x_index = END_GET_INDEX(3, 0, 0, 0);
#elif OUTPUT_LAYOUT_BFZYX #elif OUTPUT_LAYOUT_BFZYX
const uint batch_index = END_GET_INDEX(0, 0, 0, 0, 0); const uint z_index = 2;
const uint feature_index = END_GET_INDEX(1, 0, 0, 0, 0); const uint y_index = 3;
const uint z_index = END_GET_INDEX(2, 0, 0, 0, 0); const uint x_index = 4;
const uint y_index = END_GET_INDEX(3, 0, 0, 0, 0);
const uint x_index = END_GET_INDEX(4, 0, 0, 0, 0);
#endif #endif
END_TYPE batch = batch_index < END_DIMS ? end[batch_index] : 0; END_TYPE batch = batch_index < END_DIMS ? end[batch_index] : 0;
END_TYPE feature = feature_index < END_DIMS ? end[feature_index] : 0; END_TYPE feature = feature_index < END_DIMS ? end[feature_index] : 0;
@ -176,17 +172,15 @@ inline void FUNC(get_slice_begin)(OPTIONAL_SHAPE_INFO_ARG
const uint out_z_num = INPUT0_SIZE_Z; const uint out_z_num = INPUT0_SIZE_Z;
const uint out_y_num = INPUT0_SIZE_Y; const uint out_y_num = INPUT0_SIZE_Y;
const uint out_x_num = INPUT0_SIZE_X; const uint out_x_num = INPUT0_SIZE_X;
const uint batch_index = 0;
const uint feature_index = 1;
#ifdef OUTPUT_LAYOUT_BFYX #ifdef OUTPUT_LAYOUT_BFYX
const uint batch_index = STRIDE_GET_INDEX(0, 0, 0, 0); const uint y_index = 2;
const uint feature_index = STRIDE_GET_INDEX(1, 0, 0, 0); const uint x_index = 3;
const uint y_index = STRIDE_GET_INDEX(2, 0, 0, 0);
const uint x_index = STRIDE_GET_INDEX(3, 0, 0, 0);
#elif OUTPUT_LAYOUT_BFZYX #elif OUTPUT_LAYOUT_BFZYX
const uint batch_index = STRIDE_GET_INDEX(0, 0, 0, 0, 0); const uint z_index = 2;
const uint feature_index = STRIDE_GET_INDEX(1, 0, 0, 0, 0); const uint y_index = 3;
const uint z_index = STRIDE_GET_INDEX(2, 0, 0, 0, 0); const uint x_index = 4;
const uint y_index = STRIDE_GET_INDEX(3, 0, 0, 0, 0);
const uint x_index = STRIDE_GET_INDEX(4, 0, 0, 0, 0);
#endif #endif
BEGIN_TYPE batch = batch_index < BEGIN_DIMS ? begin[batch_index] : 0; BEGIN_TYPE batch = batch_index < BEGIN_DIMS ? begin[batch_index] : 0;
BEGIN_TYPE feature = feature_index < BEGIN_DIMS ? begin[feature_index] : 0; BEGIN_TYPE feature = feature_index < BEGIN_DIMS ? begin[feature_index] : 0;

59
src/plugins/intel_gpu/tests/test_cases/strided_slice_gpu_test.cpp
View File

@ -620,6 +620,59 @@ public:
} }
} }
void test_2x2x2_all_dynamic_bcast() {
auto& engine = get_test_engine();
auto input_lay = layout{ ov::PartialShape::dynamic(3), data_types::f32, format::bfyx };
auto input = engine.allocate_memory({ ov::PartialShape{ 2, 2, 2 }, data_types::f32, format::bfyx });
auto begin = engine.allocate_memory({ ov::PartialShape{ 1 }, data_types::i64, format::bfyx });
auto end = engine.allocate_memory({ ov::PartialShape{ 1 }, data_types::i64, format::bfyx });
auto strides = engine.allocate_memory({ ov::PartialShape{ 1 }, data_types::i64, format::bfyx });
set_values(input, {0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f});
set_values<int64_t>(begin, {1});
set_values<int64_t>(end, {2});
set_values<int64_t>(strides, {1});
topology topology;
topology.add(input_layout("input", input_lay));
topology.add(data("input2", begin));
topology.add(data("input3", end));
topology.add(data("input4", strides));
topology.add(strided_slice("strided_slice", input_info("input"), input_info("input2"), input_info("input3"), input_info("input4"), {}, {}, {}, {}, {}, {}));
ExecutionConfig config;
config.set_property(ov::intel_gpu::allow_new_shape_infer(true));
network network(engine, topology, config);
network.set_input_data("input", input);
auto inst = network.get_primitive("strided_slice");
auto impl = inst->get_impl();
ASSERT_TRUE(impl != nullptr);
ASSERT_TRUE(impl->is_dynamic());
auto outputs = network.execute();
ASSERT_EQ(outputs.size(), size_t(1));
ASSERT_EQ(outputs.begin()->first, "strided_slice");
auto output = outputs.at("strided_slice").get_memory();
ov::PartialShape expected_shape{1, 2, 2};
ASSERT_EQ(output->get_layout().get_partial_shape(), expected_shape);
std::vector<float> answers = {
4.0f, 5.0f, 6.0f, 7.0f
};
cldnn::mem_lock<float> output_ptr(output, get_test_stream());
for (size_t i = 0; i < answers.size(); ++i) {
ASSERT_EQ(answers[i], output_ptr[i]) << " i = " << i;
}
}
void test_2x2x2x1x1_2_negative_all_dynamic_begin() { void test_2x2x2x1x1_2_negative_all_dynamic_begin() {
auto& engine = get_test_engine(); auto& engine = get_test_engine();
auto input = engine.allocate_memory({ ov::PartialShape{ 2, 2, 2 }, data_types::f32, format::bfyx }); auto input = engine.allocate_memory({ ov::PartialShape{ 2, 2, 2 }, data_types::f32, format::bfyx });
@ -1593,7 +1646,7 @@ public:
ASSERT_TRUE(are_equal(answers[i], output_ptr[i])); ASSERT_TRUE(are_equal(answers[i], output_ptr[i]));
} }
} }
}; };
class strided_slice_gpu_i8: public ::testing::Test { class strided_slice_gpu_i8: public ::testing::Test {
public: public:
@ -1822,6 +1875,10 @@ TEST_F(strided_slice_gpu, test_2x2x2x1x1_2_negative_all_dynamic_begin) {
this->test_2x2x2x1x1_2_negative_all_dynamic_begin(); this->test_2x2x2x1x1_2_negative_all_dynamic_begin();
} }
TEST_F(strided_slice_gpu, test_2x2x2_all_dynamic_bcast) {
this->test_2x2x2_all_dynamic_bcast();
}
#ifdef RUN_ALL_MODEL_CACHING_TESTS #ifdef RUN_ALL_MODEL_CACHING_TESTS
TEST_F(strided_slice_gpu, test_2x2x2x2_full_cached) { TEST_F(strided_slice_gpu, test_2x2x2x2_full_cached) {
this->test_2x2x2x2_full(true); this->test_2x2x2x2_full(true);