36 lines
1.6 KiB
Diff
36 lines
1.6 KiB
Diff
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From cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0 Mon Sep 17 00:00:00 2001
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From: Mihai Maruseac <mihaimaruseac@google.com>
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Date: Wed, 28 Apr 2021 15:53:48 -0700
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Subject: [PATCH] Prevent divisions by 0
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---
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tensorflow/lite/kernels/depthwise_conv.cc | 4 +++-
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1 file changed, 3 insertions(+), 1 deletion(-)
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diff --git a/tensorflow/lite/kernels/depthwise_conv.cc b/tensorflow/lite/kernels/depthwise_conv.cc
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index 3f75287e..fb031926 100644
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--- a/tensorflow/lite/kernels/depthwise_conv.cc
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+++ b/tensorflow/lite/kernels/depthwise_conv.cc
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@@ -276,6 +276,7 @@ TfLiteStatus ComputeDepthMultiplier(TfLiteContext* context,
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int16* depth_multiplier) {
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int num_filter_channels = SizeOfDimension(filter, 3);
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int num_input_channels = SizeOfDimension(input, 3);
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+ TF_LITE_ENSURE(context, num_input_channels != 0);
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TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0);
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*depth_multiplier = num_filter_channels / num_input_channels;
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@@ -446,8 +447,9 @@ TfLiteStatus EvalHybridPerChannel(TfLiteContext* context, TfLiteNode* node,
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float output_activation_min, output_activation_max;
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CalculateActivationRange(params->activation, &output_activation_min,
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&output_activation_max);
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- const int input_size = NumElements(input) / SizeOfDimension(input, 0);
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const int batch_size = SizeOfDimension(input, 0);
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+ TF_LITE_ENSURE(context, batch_size != 0);
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+ const int input_size = NumElements(input) / batch_size;
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const TfLiteTensor* input_quantized =
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GetTemporary(context, node, data->input_quantized_index);
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int8_t* quantized_input_ptr_batch = input_quantized->data.int8;
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--
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2.23.0
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