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[QNN EP] Increase conv test tolerance for Windows x64 (#16241)
### Description Increases allowable accuracy tolerance for specific Conv op test on QNN CPU backed (Windows x64). ### Motivation and Context Allow QNN NuGet pipeline to run. PR https://github.com/microsoft/onnxruntime/pull/15975 introduced a failing test on Windows x64.
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1 changed files with 24 additions and 4 deletions
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@ -59,7 +59,8 @@ static void RunCPUConvOpTest(const std::vector<int64_t>& input_shape,
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const std::vector<int64_t>& dilations,
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const std::string& auto_pad,
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ExpectedEPNodeAssignment expected_ep_assignment, const char* test_description,
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int opset = 13) {
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int opset = 13,
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float fp32_abs_err = 1e-5f) {
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ProviderOptions provider_options;
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#if defined(_WIN32)
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@ -74,7 +75,8 @@ static void RunCPUConvOpTest(const std::vector<int64_t>& input_shape,
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opset,
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expected_ep_assignment,
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expected_nodes_in_partition,
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test_description);
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test_description,
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fp32_abs_err);
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}
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// Creates a graph with a single Q/DQ Conv operator. Used for testing HTP backend.
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@ -201,7 +203,25 @@ TEST_F(QnnCPUBackendTests, DISABLED_TestCPUConvf32_large_input1_pad_bias_initial
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}
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TEST_F(QnnCPUBackendTests, TestCPUConvf32_large_input2_nopad_bias_initializer) {
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RunCPUConvOpTest({1, 32, 16, 113}, {16, 32, 1, 1}, true, {1, 1}, {0, 0, 0, 0}, {1, 1}, "NOTSET", ExpectedEPNodeAssignment::All, "TestCPUConvf32_large_input2_nopad_bias_initializer");
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#if defined(_WIN32)
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// Tolerance needs to be > 1.52588e-05 on Windows x64
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// TODO: Investigate why
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float fp32_abs_err = 1e-4f;
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#else
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float fp32_abs_err = 1e-5f; // default value
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#endif
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RunCPUConvOpTest({1, 32, 16, 113},
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{16, 32, 1, 1},
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true,
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{1, 1},
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{0, 0, 0, 0},
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{1, 1},
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"NOTSET",
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ExpectedEPNodeAssignment::All,
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"TestCPUConvf32_large_input2_nopad_bias_initializer",
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13, // opset
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fp32_abs_err);
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}
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#if defined(__aarch64__) || defined(_M_ARM64) || defined(__linux__)
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@ -235,4 +255,4 @@ TEST_F(QnnHTPBackendTests, DISABLED_TestQDQConvU8U8S32_large_input2_bias_initial
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} // namespace test
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} // namespace onnxruntime
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#endif
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#endif
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