experiments/STT-tensorflow
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Merge pull request #26646 from amitsrivastava78:error_4

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PiperOrigin-RevId: 238732653
This commit is contained in:
TensorFlower Gardener 2019-03-15 16:45:17 -07:00
commit 8b5a7c680b
3 changed files with 2 additions and 14 deletions
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2
tensorflow/lite/arena_planner.cc
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@ -135,7 +135,7 @@ TfLiteStatus ArenaPlanner::PlanAllocations() {
} }
// Count references to node input tensors. // Count references to node input tensors.
for (int i = 0; i < graph_info_->num_nodes(); ++i) { for (size_t i = 0; i < graph_info_->num_nodes(); ++i) {
const TfLiteNode& node = graph_info_->node(i); const TfLiteNode& node = graph_info_->node(i);
TfLiteIntArray* node_inputs = node.inputs; TfLiteIntArray* node_inputs = node.inputs;
for (int j = 0; j < node_inputs->size; ++j) { for (int j = 0; j < node_inputs->size; ++j) {

2
tensorflow/lite/kernels/test_util.h
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@ -204,7 +204,7 @@ class SingleOpModel {
const int channel_index = params->quantized_dimension; const int channel_index = params->quantized_dimension;
std::vector<int32_t> shape(t->dims->size); std::vector<int32_t> shape(t->dims->size);
for (int i = 0; i < shape.size(); ++i) { for (size_t i = 0; i < shape.size(); ++i) {
shape[i] = t->dims->data[i]; shape[i] = t->dims->data[i];
} }
const int32_t num_inputs = input_data.size(); const int32_t num_inputs = input_data.size();

12
tensorflow/lite/kernels/transpose_test.cc
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@ -40,18 +40,6 @@ void RunTestPermutation(const std::vector<int>& shape,
input[i] = i; input[i] = i;
} }
// Create reversed and padded perms.
int reversed_perms[4];
for (int output_k = 0, input_k = shape.size() - 1; output_k < shape.size();
output_k++, input_k--) {
reversed_perms[output_k] = shape.size() - perms[input_k] - 1;
}
// Unused dimensions should not be permuted so pad with identity transform
// subset.
for (int k = shape.size(); k < 4; k++) {
reversed_perms[k] = k;
}
// Make input and output shapes. // Make input and output shapes.
const RuntimeShape input_shape = GetTensorShape(shape); const RuntimeShape input_shape = GetTensorShape(shape);
RuntimeShape output_shape(perms.size()); RuntimeShape output_shape(perms.size());