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[GPU] Fix fusions indexes calculation in b_fs_yx_fsv32 pooling kernel (#9756)

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Sergey Shlyapnikov 2022-01-19 11:18:53 +03:00 committed by GitHub
parent 690e7a5958
commit 0a225c2d84
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 4 additions and 2 deletions
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2
src/plugins/intel_gpu/src/kernel_selector/core/actual_kernels/pooling/pooling_kernel_gpu_fs_b_yx_fsv32.cpp
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@ -78,7 +78,7 @@ JitConstants PoolingKerneGPU_fs_b_yx_fsv32::GetJitConstants(const pooling_params
if (!params.fused_ops.empty()) {
auto input_dt = GetActivationType(params);
FusedOpsConfiguration conf = {"",
{"b", "fs", "out_y", "out_x"},
{"b", "((fs * 32) + sglid)", "out_y", "out_x"},
"pool_result",
input_dt,
2,

4
src/plugins/intel_gpu/tests/fusions/pooling_fusion_test.cpp
View File

@ -112,6 +112,7 @@ public:
#define CASE_POOLING_F16_8 { 16, 32, 10, 10 }, data_types::f16, format::b_fs_yx_fsv16, data_types::f32, format::bfyx
#define CASE_POOLING_F16_9 { 16, 32, 10, 10, 10 }, data_types::f32, format::b_fs_zyx_fsv16, data_types::f32, format::bfyx
#define CASE_POOLING_F16_10 { 16, 32, 10, 10, 10 }, data_types::f32, format::bs_fs_zyx_bsv16_fsv16, data_types::f32, format::bfyx
#define CASE_POOLING_F16_11 { 1, 64, 10, 10 }, data_types::f16, format::fs_b_yx_fsv32, data_types::f32, format::bfyx
#define CASE_POOLING_F16_FP16_1 { 1, 32, 10, 10 }, data_types::f16, format::bfyx, data_types::f16, format::bfyx
#define CASE_POOLING_F16_FP16_2 { 1, 32, 10, 10 }, data_types::f16, format::fs_b_yx_fsv32, data_types::f16, format::bfyx
@ -343,7 +344,7 @@ TEST_P(pooling_scale_activation, eltwise_mul) {
create_topologies(
input_layout("input", get_input_layout(p)),
data("scale_data", get_mem(get_per_channel_layout(p), 1.0f / tensor{ 1, 1, 4, 4 }.count())),
data("scale_data", get_mem(get_per_channel_layout(p))),
pooling("pooling", "input", "", p.pool_mode, tensor(1, 1, 4, 4), tensor(1, 1, 2, 2)),
eltwise("scale", { "pooling", "scale_data" }, eltwise_mode::prod, p.default_type),
activation("activation", "scale", activation_func::relu),
@ -410,6 +411,7 @@ INSTANTIATE_TEST_SUITE_P(fusings_gpu, pooling_scale_activation, ::testing::Value
pooling_test_params{ CASE_POOLING_F16_9, 2, 4, pooling_mode::max, "pooling_gpu_ref" },
pooling_test_params{ CASE_POOLING_F16_10, 2, 4, pooling_mode::average, "pooling_gpu_bsv16_fsv16" },
pooling_test_params{ CASE_POOLING_F16_10, 2, 4, pooling_mode::max, "pooling_gpu_bsv16_fsv16" },
pooling_test_params{ CASE_POOLING_F16_11, 2, 4, pooling_mode::max, "pooling_gpu_fs_b_yx_fsv32" },
// Input type: FP16
pooling_test_params{ CASE_POOLING_F16_FP16_1, 2, 4, pooling_mode::average, "pooling_gpu_bfyx_block_opt" },