forked from microsoft/onnxruntime
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
127b30b
commit 53411e8
Showing
6 changed files
with
113 additions
and
18 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,85 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
|
|
||
| #ifndef ORT_MINIMAL_BUILD | ||
|
|
||
| #include "core/common/span_utils.h" | ||
| #include "core/framework/tensor.h" | ||
| #include "core/mlas/inc/mlas_q4.h" | ||
| #include "core/session/inference_session.h" | ||
| #include "test/common/tensor_op_test_utils.h" | ||
| #include "test/framework/test_utils.h" | ||
| #include "test/optimizer/graph_transform_test_builder.h" | ||
| #include "test/providers/provider_test_utils.h" | ||
| #include "test/util/include/default_providers.h" | ||
| #include "core/util/qmath.h" | ||
|
|
||
| #include <chrono> | ||
| #include <random> | ||
|
|
||
| #include "gtest/gtest.h" | ||
| #include "gmock/gmock.h" | ||
|
|
||
| namespace onnxruntime { | ||
| namespace test { | ||
|
|
||
| TEST(MatMulNBitsCPU, MatMul2DSymPerN) { | ||
| // (100 x 52) X (52 x 288) | ||
| constexpr int64_t M = 100; | ||
| constexpr int64_t N = 288; | ||
| constexpr int64_t K = 52; | ||
|
|
||
| const auto buf_size = MlasQ4GemmPackBSize(BlkQ4Sym, (size_t)N, (size_t)K); | ||
| if (buf_size == 0) { | ||
| GTEST_SKIP(); // operation not supported on this hardware platform yet. | ||
| } | ||
|
|
||
| OpTester test("MatMulNBitsCPU", 1, kMSDomain); | ||
| test.AddAttribute<int64_t>("blk_quant_type", BlkQ4SymPerN); | ||
| test.AddAttribute<int64_t>("compute_type", 1); | ||
|
|
||
| std::vector<float> input0_vals(M * K); | ||
| float fv = -135.f; | ||
| for (auto& f : input0_vals) { | ||
| f = fv / 128; | ||
| fv++; | ||
| if (fv > 135.f) { | ||
| fv = -135.f; | ||
| } | ||
| } | ||
|
|
||
| std::vector<float> input1_f_vals(N * K); | ||
| int v = -2; | ||
| for (size_t i = 0; i < N * K; i++) { | ||
| if (v == 0 || v == -3 || v == 3) v++; | ||
| input1_f_vals[i] = (float)v; | ||
| if (++v >= 8) { | ||
| v = -8; | ||
| } | ||
| } | ||
| std::vector<uint8_t> input1_vals(buf_size); | ||
| MlasQ4GemmPackB(BlkQ4SymPerN, input1_vals.data(), input1_f_vals.data(), (size_t)N, (size_t)K, (size_t)N); | ||
|
|
||
| std::vector<float> expected_vals(M * N); | ||
| for (int64_t m = 0; m < M; m++) { | ||
| for (int64_t n = 0; n < N; n++) { | ||
| float sum = 0.0f; | ||
| for (int64_t k = 0; k < K; k++) { | ||
| sum += input0_vals[m * K + k] * input1_f_vals[k * N + n]; | ||
| } | ||
| expected_vals[m * N + n] = sum; | ||
| } | ||
| } | ||
|
|
||
| test.AddInput<float>("A", {M, K}, input0_vals, false); | ||
| test.AddInput<uint8_t>("B", {(int64_t)input1_vals.size()}, input1_vals, true); | ||
| test.AddInput<int64_t>("B_shape", {(int64_t)2}, {(int64_t)K, (int64_t)N}, true); | ||
|
|
||
| test.AddOutput<float>("Y", {M, N}, expected_vals); | ||
|
|
||
| test.Run(); | ||
| } | ||
| } // namespace test | ||
| } // namespace onnxruntime | ||
|
|
||
| #endif // ORT_MINIMAL_BUILD |