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authorGravatar Pete Warden <petewarden@google.com>2018-10-04 15:20:56 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-10-04 15:26:22 -0700
commitfeda8c786948b1c7cc6bd9fe447781ceaff6b3d3 (patch)
tree50fb44339afb3ca8001f715a17234cb129d130ad /tensorflow/contrib/lite/experimental
parentbd99ed794264668ce77ed7527bc41df7aba3927b (diff)
Fix for memory issue in micro test code, spotted by asan checks
PiperOrigin-RevId: 215813259
Diffstat (limited to 'tensorflow/contrib/lite/experimental')
-rw-r--r--tensorflow/contrib/lite/experimental/micro/kernels/softmax_test.cc8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/lite/experimental/micro/kernels/softmax_test.cc b/tensorflow/contrib/lite/experimental/micro/kernels/softmax_test.cc
index df7d87d623..694456d8ac 100644
--- a/tensorflow/contrib/lite/experimental/micro/kernels/softmax_test.cc
+++ b/tensorflow/contrib/lite/experimental/micro/kernels/softmax_test.cc
@@ -160,7 +160,7 @@ void TestSoftmaxQuantized(std::initializer_list<int> input_dims_data,
TF_LITE_MICRO_TESTS_BEGIN
TF_LITE_MICRO_TEST(SimpleTest) {
- const int output_dims_count = 6;
+ const int output_dims_count = 10;
float output_data[output_dims_count];
tflite::testing::TestSoftmaxFloat( //
{2, 2, 5}, // Input shape.
@@ -181,7 +181,7 @@ TF_LITE_MICRO_TEST(SimpleTest) {
0.031684921,
0.011656231,
},
- {2, 2, 3}, // Output shape.
+ {2, 2, 5}, // Output shape.
output_data);
}
@@ -192,7 +192,7 @@ TF_LITE_MICRO_TEST(SimpleTestQuantized) {
const float input_max = 64.0f;
const float output_min = 0.0f;
const float output_max = (255.0f / 256.0f);
- const int output_dims_count = 6;
+ const int output_dims_count = 5;
uint8_t output_data[output_dims_count];
tflite::testing::TestSoftmaxQuantized( //
{2, 1, 5}, // Input shape.
@@ -212,7 +212,7 @@ TF_LITE_MICRO_TEST(SimpleTestQuantized) {
F2Q(0.234121657, output_min, output_max),
F2Q(0.636408647, output_min, output_max),
},
- {2, 1, 3}, // Output shape.
+ {2, 1, 5}, // Output shape.
output_min, output_max, // Output quantized range.
output_data);
}