86 lines
3.2 KiB
C++
86 lines
3.2 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_TOOLS_OPTIMIZE_TEST_UTIL_H_
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#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_TEST_UTIL_H_
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#include "tensorflow/lite/core/api/error_reporter.h"
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namespace tflite {
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namespace optimize {
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namespace internal {
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// Test model with a single convolution.
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// Floating point weights of the model are all integers and lie in
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// range[-127, 127]. The weights have been put in such a way that each
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// channel has at least one weight as -127 and one weight as 127.
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// The activations are all in range: [-128, 127]
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// This means all bias computations should result in 1.0 scale.
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extern const char* kConvModelWithMinus128Plus127Weights;
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// Test model with single convolution where all weights are integers between
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// [0, 10] weights are randomly distributed. It is not guaranteed that min max
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// for weights are going to appear in each channel.
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// Activations have min = 0, max = 10.
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extern const char* kConvModelWith0Plus10Weights;
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// A floating point model with a single softmax. The input tensor has min
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// and max in range [-5, 5], not necessarily -5 or +5.
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extern const char* kSingleSoftmaxModelMinMinus5MaxPlus5;
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// A floating point model with a single average pool. The input tensor has min
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// and max in range [-5, 5], not necessarily -5 or +5.
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extern const char* kSingleAvgPoolModelMinMinus5MaxPlus5;
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// Test model with a weights variable that is shared between a convolution layer
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// and an add operation.
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extern const char* kModelWithSharedWeights;
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// Test model with Add followed by a reshape. Model has 2 inputs for add.
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extern const char* kMultiInputAddWithReshape;
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// Test gather operation with quantized input.
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extern const char* kQuantizedWithGather;
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// Test model with a tf.constant input to tf.add. Model has 2 inputs one
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// constant and other placeholder.
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extern const char* kConstInputAddModel;
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// A float test model with concat that has [0, 5] and [0, 10] for inputs and [0,
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// 10] as output.
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extern const char* kFloatConcatMax5Max10Max10;
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// Test model with a custom op.
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extern const char* kModelWithCustomOp;
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// Test model with a argmax op.
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extern const char* kModelWithArgMaxOp;
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// Test model with a argmax op.
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extern const char* kModelWithFCOp;
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// Test model with mixed quantizable and un-quantizable ops.
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// reshape->custom->custom->squeeze.
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extern const char* kModelMixed;
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// An error reporter that fails on testing.
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class FailOnErrorReporter : public ErrorReporter {
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public:
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int Report(const char* format, va_list args) override;
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};
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} // namespace internal
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} // namespace optimize
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_OPTIMIZE_TEST_UTIL_H_
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