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src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/fully_connected.cpp
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| // Copyright (C) 2024 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| #include "snippets/matmul.hpp" | ||
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| #include "common_test_utils/test_constants.hpp" | ||
| #include "openvino/runtime/system_conf.hpp" | ||
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| namespace ov { | ||
| namespace test { | ||
| namespace snippets { | ||
| namespace { | ||
| static inline std::vector<std::vector<element::Type>> quantized_precisions() { | ||
| std::vector<std::vector<element::Type>> prc = {}; | ||
| // In Snippets MatMul INT8 is supported only on VNNI/AMX platforms | ||
| if (ov::with_cpu_x86_avx512_core_vnni() || ov::with_cpu_x86_avx512_core_amx_int8()) { | ||
| prc.emplace_back(std::vector<element::Type>{element::i8, element::i8}); | ||
| prc.emplace_back(std::vector<element::Type>{element::u8, element::i8}); | ||
| } | ||
| return prc; | ||
| } | ||
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| static inline std::vector<std::vector<element::Type>> precisions(bool only_fp32 = true) { | ||
| std::vector<std::vector<element::Type>> prc = { | ||
| {element::f32, element::f32}, | ||
| }; | ||
| // Note: TPP doesn't support low precisions yet | ||
| #ifndef SNIPPETS_LIBXSMM_TPP | ||
| if (!only_fp32) { | ||
| auto quant = quantized_precisions(); | ||
| std::copy(quant.begin(), quant.end(), std::back_inserter(prc)); | ||
| // In Snippets MatMul BF16 is supported only on bf16/AMX platforms | ||
| if (ov::with_cpu_x86_bfloat16() || ov::with_cpu_x86_avx512_core_amx_bf16()) { | ||
| prc.emplace_back(std::vector<element::Type>{element::bf16, element::bf16}); | ||
| } | ||
| } | ||
| #endif | ||
| return prc; | ||
| } | ||
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| std::vector<std::vector<ov::test::InputShape>> fc_input_shapes{ | ||
| { | ||
| {PartialShape{-1, -1, -1, 2500}, {{2, 1, 32, 2500}, {1, 3, 80, 2500}}}, | ||
| {{}, {{2500, 256}}} | ||
| }, | ||
| }; | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnected, MatMul, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_input_shapes), | ||
| ::testing::ValuesIn(precisions(false)), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // MatMul | ||
| ::testing::Values(1), // Tokenized MatMul | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
|
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedFQ, MatMulFQ, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_input_shapes), | ||
| ::testing::ValuesIn(precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // MatMul; | ||
| ::testing::Values(1), // Tokenized MatMul | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedEltwiseChain, MatMulEltwiseChain, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_input_shapes), | ||
| ::testing::ValuesIn(precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // MatMul | ||
| ::testing::Values(1), // Tokenized MatMul | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
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| std::vector<std::vector<ov::test::InputShape>> fc_cascade_shapes{ | ||
| { | ||
| {PartialShape{-1, -1, -1, 2500}, {{2, 1, 32, 2500}, {1, 3, 80, 2500}, {2, 1, 32, 2500}}}, | ||
| {PartialShape{}, {{2500, 128}}}, | ||
| {PartialShape{}, {{128, 64}}}, | ||
| }, | ||
| }; | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedEltwiseChainCascade, MatMulEltwiseChainCascade, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_cascade_shapes), | ||
| ::testing::ValuesIn(precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), | ||
| ::testing::Values(1), | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
|
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| std::vector<std::vector<ov::test::InputShape>> fc_transpose_b_shapes{ | ||
| { | ||
| {PartialShape{-1, -1, -1, 2500}, {{2, 1, 32, 2500}, {1, 3, 80, 2500}}}, | ||
| {{}, {{256, 2500}}} | ||
| }, | ||
| }; | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedTransposeB, MatMulTransposeB, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_transpose_b_shapes), | ||
| ::testing::ValuesIn(precisions(false)), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // MatMul | ||
| ::testing::Values(1), // Tokenized MatMul | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
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| std::vector<std::vector<ov::test::InputShape>> fc_bias_shapes{ | ||
| { | ||
| {PartialShape{-1, -1, -1, 2500}, {{2, 1, 32, 2500}, {1, 3, 80, 2500}}}, | ||
| {{}, {{2500, 256}}}, | ||
| {PartialShape{-1, -1, -1, 256}, {{1, 1, 32, 256}, {1, 1, 80, 256}}} | ||
| }, | ||
| }; | ||
|
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedBias, MatMulBias, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_bias_shapes), | ||
| ::testing::ValuesIn(precisions(false)), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // Subgraph; | ||
| ::testing::Values(1), // Tokenized MatMul+Bias | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedBiasQuantized, MatMulBiasQuantized, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_bias_shapes), | ||
| ::testing::ValuesIn(quantized_precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // Subgraph | ||
| ::testing::Values(1), // Tokenized MatMul+Bias | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
|
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| std::vector<std::vector<ov::test::InputShape>> fc_quantized_shapes{ | ||
| { | ||
| {PartialShape{-1, -1, -1, 2500}, {{2, 1, 32, 2500}, {1, 3, 80, 2500}}}, | ||
| {{}, {{2500, 256}}}, | ||
| {{}, {{256, 64}}} | ||
| }, | ||
| }; | ||
|
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedsQuantized, MatMulsQuantized, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_quantized_shapes), | ||
| ::testing::ValuesIn(quantized_precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // Reshape on weights is folded => only 1 Subgraph remains | ||
| ::testing::Values(1), // Tokenized [MatMul+FQ+Matmul] | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
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| INSTANTIATE_TEST_SUITE_P(smoke_Snippets_FullyConnectedsQuantizedSoftmax, MatMulsQuantizedSoftmax, | ||
| ::testing::Combine( | ||
| ::testing::ValuesIn(fc_quantized_shapes), | ||
| ::testing::ValuesIn(quantized_precisions()), | ||
| ::testing::Values(MatMulType::FullyConnected), | ||
| ::testing::Values(1), // Reshape on weights is folded => only 1 Subgraph remains | ||
| ::testing::Values(1), // Tokenized [MatMul+FQ+Matmul] | ||
| ::testing::Values(ov::test::utils::DEVICE_CPU)), | ||
| MatMul::getTestCaseName); | ||
| } // namespace | ||
| } // namespace snippets | ||
| } // namespace test | ||
| } // namespace ov |
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