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Merged
veblush merged 1 commit into from
Jan 25, 2026
Merged

[CI] Windows Fixes #3343

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2 changes: 1 addition & 1 deletion tensorflow/lite/micro/kernels/broadcast_args_test.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ TF_LITE_MICRO_TESTS_BEGIN

TF_LITE_MICRO_TEST(BroadcastArgsWithScalar) {
int input1_shape[] = {1, 0};
int32_t input1_data[] = {};
int32_t input1_data[] = {0};

int input2_shape[] = {1, 2};
int32_t input2_data[2] = {2, 4};
Expand Down
2 changes: 1 addition & 1 deletion tensorflow/lite/micro/kernels/reduce_test.cc
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Expand Up @@ -999,7 +999,7 @@ TF_LITE_MICRO_TEST(SumFloatScalar) {
int input_shape[] = {1, 1};
int output_shape[] = {1, 1};
int axis_shape[] = {1, 0};
int32_t axis_data[] = {};
int32_t axis_data[] = {0};
float input_data[] = {1.0};
float expected_output[] = {1.0};
float actual_output_data[1];
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20 changes: 10 additions & 10 deletions tensorflow/lite/micro/kernels/reshape_test.cc
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Expand Up @@ -165,9 +165,9 @@ TF_LITE_MICRO_TEST(ReshapeWithMismatchedDimensionsShouldFail) {
const int32_t shape_int32[] = {2, 1};
int output_dims[] = {2, 2, 1};
const int golden_output_len = 0;
const float golden_output[] = {};
const float golden_output[] = {0.0f};
const int golden_dims_len = 0;
int golden_dims[] = {};
int golden_dims[] = {0};
tflite::testing::TestReshape(
input_dims, input_data, shape_dims, shape_int32, output_dims, output_data,
golden_output, golden_output_len, golden_dims, golden_dims_len, true);
Expand Down Expand Up @@ -197,9 +197,9 @@ TF_LITE_MICRO_TEST(ReshapeWithTooManySpecialDimensionsShouldFail) {
const int32_t shape_int32[] = {-1, -1, 2, 4};
int output_dims[] = {4, -1, -1, 2, 4};
const int golden_output_len = 2;
const float golden_output[] = {};
const float golden_output[] = {0.0f};
const int golden_dims_len = 9;
int golden_dims[] = {};
int golden_dims[] = {0};
tflite::testing::TestReshape(
input_dims, input, shape_dims, shape_int32, output_dims, output_data,
golden_output, golden_output_len, golden_dims, golden_dims_len, true);
Expand All @@ -218,9 +218,9 @@ TF_LITE_MICRO_TEST(ReshapeWithInvalidShapeShouldFail) {
TfLiteIntArray* output_dims =
tflite::testing::IntArrayFromInts(output_dims_data);
auto output_tensor = tflite::testing::CreateTensor(output_data, output_dims);
const int expected_output[] = {};
const int expected_output[] = {0};
const int expected_output_len = 0;
int expected_dims[] = {};
int expected_dims[] = {0};
const int expected_dims_len = 0;
tflite::testing::TestReshapeWithoutShape(
&input_tensor, &output_tensor, expected_output, expected_output_len,
Expand Down Expand Up @@ -314,14 +314,14 @@ TF_LITE_MICRO_TEST(ReshapeWithScalarOutputShouldSucceed) {
const int8_t input_int8[] = {3};
const uint8_t input_uint8[] = {3};
int shape_dims[] = {0};
const int32_t shape_int32[] = {};
const int32_t shape_int32[] = {0};
int output_dims[] = {0};
const int golden_output_len = 1;
const float golden_output_float[] = {3};
const int8_t golden_output_int8[] = {3};
const uint8_t golden_output_uint8[] = {3};
const int golden_dims_len = 0;
int golden_dims[] = {};
int golden_dims[] = {0};
tflite::testing::TestReshape(input_dims, input_float, shape_dims, shape_int32,
output_dims, output_data_float,
golden_output_float, golden_output_len,
Expand Down Expand Up @@ -357,11 +357,11 @@ TF_LITE_MICRO_TEST(ReshapeWithLegacyScalarOutputShouldSucceed) {

const int32_t shape_data[] = {0};
auto shape_tensor = tflite::testing::CreateTensor(shape_data, shape_dims);
const float expected_output_with_shape[] = {};
const float expected_output_with_shape[] = {0.0f};
const int expected_output_with_shape_len = 0;
const float expected_output_no_shape[] = {3};
const int expected_output_no_shape_len = 1;
int expected_dims[] = {};
int expected_dims[] = {0};
const int expected_dims_len = 0;
tflite::testing::TestReshapeWithShape<float>(
&input_tensor, &shape_tensor, &output_tensor, expected_output_with_shape,
Expand Down
18 changes: 9 additions & 9 deletions tensorflow/lite/micro/kernels/strided_slice_test.cc
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Expand Up @@ -149,11 +149,11 @@ TF_LITE_MICRO_TEST(UnsupportedInputSize) {
int end_shape[] = {1, 5};
int strides_shape[] = {1, 5};
int output_shape[] = {0};
float input_data[] = {};
int32_t begin_data[] = {};
int32_t end_data[] = {};
int32_t strides_data[] = {};
float golden[] = {};
float input_data[] = {0.0f};
int32_t begin_data[] = {0};
int32_t end_data[] = {0};
int32_t strides_data[] = {0};
float golden[] = {0.0f};
float output_data[4];

TfLiteStridedSliceParams builtin_data = {};
Expand Down Expand Up @@ -195,7 +195,7 @@ TF_LITE_MICRO_TEST(In1D_EmptyOutput) {
int32_t begin_data[] = {10};
int32_t end_data[] = {3};
int32_t strides_data[] = {1};
float golden[] = {};
float golden[] = {0.0f};
float output_data[4];

TfLiteStridedSliceParams builtin_data = {};
Expand Down Expand Up @@ -1243,7 +1243,7 @@ TF_LITE_MICRO_TEST(StrideOutOfBounds) {
int end_shape[] = {1, 1};
int strides_shape[] = {1, 1};
int output_shape[] = {0};
float input_data[] = {};
float input_data[] = {0.0f};
int32_t begin_data[] = {1};
int32_t end_data[] = {4};
int32_t strides_data[] = {7};
Expand All @@ -1264,11 +1264,11 @@ TF_LITE_MICRO_TEST(OutOfBounds) {
int end_shape[] = {1, 1};
int strides_shape[] = {1, 1};
int output_shape[] = {0};
float input_data[] = {};
float input_data[] = {0.0f};
int32_t begin_data[] = {1};
int32_t end_data[] = {2};
int32_t strides_data[] = {1};
float golden[0];
float golden[] = {0.0f};
float output_data[16];

TfLiteStridedSliceParams builtin_data = {0, 0, 0, 0, 1, false};
Expand Down
4 changes: 2 additions & 2 deletions tensorflow/lite/micro/micro_resource_variable_test.cc
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Expand Up @@ -116,7 +116,7 @@ TF_LITE_MICRO_TEST(VerifyAssignAndReadResourceBuffer) {
23, 24, 25, 26, 27, 28, 29, 30, 31, 32};
int dims[] = {1, 32};
TfLiteEvalTensor assign_tensor = {
{reinterpret_cast<float*>(golden)},
{golden},
tflite::testing::IntArrayFromInts(dims),
kTfLiteFloat32,
};
Expand All @@ -126,7 +126,7 @@ TF_LITE_MICRO_TEST(VerifyAssignAndReadResourceBuffer) {

int32_t buffer[32];
TfLiteEvalTensor read_tensor = {
{reinterpret_cast<float*>(buffer)},
{buffer},
tflite::testing::IntArrayFromInts(dims),
kTfLiteInt32,
};
Expand Down
24 changes: 24 additions & 0 deletions tensorflow/lite/micro/tools/BUILD
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Expand Up @@ -82,6 +82,10 @@ pybind_extension(
srcs = [
"tflite_flatbuffer_align_wrapper.cc",
],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
deps = [
"//tensorflow/lite/schema:schema_fbs",
"@flatbuffers",
Expand All @@ -96,6 +100,10 @@ py_binary(
data = [
":tflite_flatbuffer_align_wrapper.so",
],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
deps = [
requirement("absl_py"),
],
Expand All @@ -107,6 +115,10 @@ py_library(
data = [
":tflite_flatbuffer_align_wrapper.so",
],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
visibility = [
":application_friends",
":tflm_tools",
Expand All @@ -123,6 +135,10 @@ py_library(
data = [
":tflite_flatbuffer_align",
],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
visibility = [
":application_friends",
":tflm_tools",
Expand Down Expand Up @@ -163,6 +179,10 @@ cc_binary(
py_binary(
name = "tflm_model_transforms",
srcs = ["tflm_model_transforms.py"],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
deps = [
":tflm_model_transforms_lib",
requirement("absl_py"),
Expand All @@ -181,6 +201,10 @@ py_test(
"nomsan",
"noubsan",
],
target_compatible_with = select({
"@bazel_tools//src/conditions:windows": ["@platforms//:incompatible"],
"//conditions:default": [],
}),
deps = [
":tflm_model_transforms_lib",
requirement("absl_py"),
Expand Down
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