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Fix lint errors missed due to new commits (#15558)

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Follow up of #15524
This commit is contained in:
Justin Chu 2023-04-18 12:55:02 -07:00 committed by GitHub
parent 698e9f71cd
commit 831734a46e
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GPG key ID: 4AEE18F83AFDEB23
6 changed files with 17 additions and 18 deletions
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9
onnxruntime/core/providers/cpu/signal/dft.cc
View file

@ -194,10 +194,9 @@ T next_power_of_2(T in) {
template <typename T, typename U>
static Status dft_bluestein_z_chirp(
OpKernelContext* ctx, const Tensor* X, Tensor* Y, Tensor& b_fft, Tensor& chirp, size_t X_offset, size_t X_stride, size_t Y_offset, size_t Y_stride,
int64_t axis, size_t dft_length, const Tensor* window, bool inverse, InlinedVector<std::complex<T>>& V,
InlinedVector<std::complex<T>>& temp_output) {
OpKernelContext* ctx, const Tensor* X, Tensor* Y, Tensor& b_fft, Tensor& chirp, size_t X_offset, size_t X_stride, size_t Y_offset, size_t Y_stride,
int64_t axis, size_t dft_length, const Tensor* window, bool inverse, InlinedVector<std::complex<T>>& V,
InlinedVector<std::complex<T>>& temp_output) {
static constexpr T pi = static_cast<T>(3.14159265);
AllocatorPtr alloc;
@ -300,7 +299,7 @@ static Status dft_bluestein_z_chirp(
// The inverse fft is computed using the same cached vandermonde matrix (V) created by the
// forward fft. This reversal causes the output to be reversed as well.
// Therefore we undo the reversal when writing the output back out.
c_i = *(a_data + M - i);
c_i = *(a_data + M - i);
}
out = c_i * chirp_i * scale;
}

2
onnxruntime/test/contrib_ops/quantize_ops_test.cc
View file

@ -41,7 +41,7 @@ TEST(DequantizeLinearOpTest, DequantizeLinear_per_tensor_float_int8) {
}
#ifdef USE_CUDA
TEST(DequantizeLinearOpTest, DISABLED_DequantizeLinear_per_tensor_half_uint8) { // Op with name (InsertedCast_x_scale) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
TEST(DequantizeLinearOpTest, DISABLED_DequantizeLinear_per_tensor_half_uint8) { // Op with name (InsertedCast_x_scale) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
OpTester test("DequantizeLinear", 1, onnxruntime::kMSDomain);
std::vector<int64_t> dims{4};
test.AddInput<uint8_t>("x", dims, {0, 3, 128, 255});

4
onnxruntime/test/framework/kernel_type_str_resolver_utils_test.cc
View file

@ -26,8 +26,8 @@ static Status LoadLayoutTransformationRequiredOpsFromOpSchemas(KernelTypeStrReso
return Status::OK();
}
TEST(KernelTypeStrResolverUtilsTest, DISABLED_VerifyLayoutTransformationRequiredOpsResolver) { // actual_resolver.GetOpKernelTypeStrMap()
// Which is: { (com.microsoft:QLinearConv:1, { ("y_scale",
TEST(KernelTypeStrResolverUtilsTest, DISABLED_VerifyLayoutTransformationRequiredOpsResolver) { // actual_resolver.GetOpKernelTypeStrMap()
// Which is: { (com.microsoft:QLinearConv:1, { ("y_scale",
KernelTypeStrResolver expected_resolver;
ASSERT_STATUS_OK(LoadLayoutTransformationRequiredOpsFromOpSchemas(expected_resolver));

4
onnxruntime/test/providers/xnnpack/xnnpack_basic_test.cc
View file

@ -264,7 +264,7 @@ TEST(XnnpackEP, TestQDQConvS8S8_per_channel) {
RunModelTestWithPath(ort_model_path, "xnnpack_qdq_test_graph_conv_s8s8_perchannel", graph_verify, 0.2f);
}
TEST(XnnpackEP, DISABLED_TestAveragePool) { // [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for AveragePool(19) node with name 'node'
TEST(XnnpackEP, DISABLED_TestAveragePool) { // [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for AveragePool(19) node with name 'node'
const std::vector<int64_t> input_shape = {1, 2, 3, 3};
auto modelBuilder = [&input_shape](ModelTestBuilder& builder) {
auto* input_arg = builder.MakeInput<float>(input_shape, -1.f, 1.f);
@ -517,7 +517,7 @@ TEST(XnnpackEP, DISABLED_TestResize_u8_and_s8_NHWC_half_pixel) { // [ONNXRuntim
"xnnpack_qdq_test_graph_resize",
{ExpectedEPNodeAssignment::Some, 1e-2f /* fp32_abs_err */});
}
TEST(XnnpackEP, DISABLED_TestResize_u8_and_s8_NHWC_align_corners) { // [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for Resize(19) node with name 'node_token_5'
TEST(XnnpackEP, DISABLED_TestResize_u8_and_s8_NHWC_align_corners) { // [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for Resize(19) node with name 'node_token_5'
RunModelTest(BuildQDQResizeTestCase({1, 64, 64, 3} /* input_shape */,
{1, 32, 32, 3} /* sizes_data */,
"linear" /* mode */,

4
orttraining/orttraining/test/training_ops/cuda/cross_entropy_test.cc
View file

@ -753,7 +753,7 @@ TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_TinySizeTensor_half)
TestSoftmaxCrossEntropyLossGrad({8}, log_prob_dims, index_dims, dX_dims, "none", 0, true, 5e-2);
}
TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_SmallSizeTensor_half) { // [E:onnxruntime:Default, compare_provider_test_utils.cc:105 CompareWithCPU] Initialize failed with status: Could not find an implementation for Equal(19) node with name ''
TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_SmallSizeTensor_half) { // [E:onnxruntime:Default, compare_provider_test_utils.cc:105 CompareWithCPU] Initialize failed with status: Could not find an implementation for Equal(19) node with name ''
std::vector<int64_t> dY_dims{};
std::vector<int64_t> log_prob_dims{8, 20, 10};
std::vector<int64_t> index_dims{8, 10};
@ -763,7 +763,7 @@ TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_SmallSizeTensor_half
TestSoftmaxCrossEntropyLossGrad({8, 10}, log_prob_dims, index_dims, dX_dims, "none", -1, true, 5e-2);
}
TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_LargeSizeTensor_half) { // [E:onnxruntime:Default, compare_provider_test_utils.cc:105 CompareWithCPU] Initialize failed with status: Could not find an implementation for Equal(19) node with name ''
TEST(CrossEntropyTest, DISABLED_SoftmaxCrossEntropyLossGrad_LargeSizeTensor_half) { // [E:onnxruntime:Default, compare_provider_test_utils.cc:105 CompareWithCPU] Initialize failed with status: Could not find an implementation for Equal(19) node with name ''
std::vector<int64_t> dY_dims{};
std::vector<int64_t> log_prob_dims{2, 512, 30528};
std::vector<int64_t> index_dims{2, 30528};

12
orttraining/orttraining/test/training_ops/cuda/layer_norm_test.cc
View file

@ -253,8 +253,8 @@ TEST(CudaKernelTest, InvertibleLayerNormGrad_LargeSizeTensor) {
TestInvertibleLayerNormGrad(X_dims, -1, 5e-3);
}
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_SmallSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_SmallSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
const std::vector<int64_t> X_dims{4, 20, 128};
TestInvertibleLayerNormGrad(X_dims, -1, 2e-3, true);
}
@ -266,14 +266,14 @@ TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_SmallSizeTensor_Intermedia
TestInvertibleLayerNormGrad(X_dims, axis, 2e-3, true);
}
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_MidSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_MidSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version
const std::vector<int64_t> X_dims{8, 80, 768};
TestInvertibleLayerNormGrad(X_dims, -1, 2e-3, true);
}
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_LargeSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
TEST(CudaKernelTest, DISABLED_InvertibleLayerNormGrad_LargeSizeTensor_FP16) { // Failed to find kernel for Cast(19) (node InsertedCast_Y_grad). Op with name (InsertedCast_Y_grad) and type (Cast) kernel is not supported in CPUExecutionProvider. Encountered following errors: (Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 6 kernel_end_version: 12
// Op with name (InsertedCast_Y_grad) and type (Cast) Version mismatch. node_version: 19 kernel start version: 13 kernel_end_version:
const std::vector<int64_t> X_dims{16, 512, 1024};
TestInvertibleLayerNormGrad(X_dims, -1, 2e-3, true);
}