/external/tensorflow/tensorflow/lite/micro/kernels/ |
D | activations_test.cc | 34 constexpr int inputs_size = 1; in TestReluFloat() local 36 constexpr int tensors_size = inputs_size + outputs_size; in TestReluFloat() 67 constexpr int inputs_size = 1; in TestRelu6Float() local 69 constexpr int tensors_size = inputs_size + outputs_size; in TestRelu6Float() 103 constexpr int inputs_size = 1; in TestReluUint8() local 105 constexpr int tensors_size = inputs_size + outputs_size; in TestReluUint8() 144 constexpr int inputs_size = 1; in TestRelu6Uint8() local 146 constexpr int tensors_size = inputs_size + outputs_size; in TestRelu6Uint8() 184 constexpr int inputs_size = 1; in TestReluInt8() local 186 constexpr int tensors_size = inputs_size + outputs_size; in TestReluInt8() [all …]
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D | zeros_like_test.cc | 32 constexpr int inputs_size = 1; in TestZerosLikeFloat() local 34 constexpr int tensors_size = inputs_size + outputs_size; in TestZerosLikeFloat() 64 constexpr int inputs_size = 1; in TestZerosLikeInt32() local 66 constexpr int tensors_size = inputs_size + outputs_size; in TestZerosLikeInt32() 96 constexpr int inputs_size = 1; in TestZerosLikeInt64() local 98 constexpr int tensors_size = inputs_size + outputs_size; in TestZerosLikeInt64()
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D | cast_test.cc | 33 constexpr int inputs_size = 1; in TestCastFloatToInt8() local 35 constexpr int tensors_size = inputs_size + outputs_size; in TestCastFloatToInt8() 65 constexpr int inputs_size = 1; in TestCastInt8ToFloat() local 67 constexpr int tensors_size = inputs_size + outputs_size; in TestCastInt8ToFloat()
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D | transpose_conv_test.cc | 115 constexpr int inputs_size = 4; in TestTransposeConvFloat() local 117 constexpr int tensors_size = inputs_size + outputs_size; in TestTransposeConvFloat() 160 constexpr int inputs_size = 4; in TestTransposeConvQuantized() local 162 constexpr int tensors_size = inputs_size + outputs_size; in TestTransposeConvQuantized() 234 constexpr int inputs_size = 4; in TF_LITE_MICRO_TEST() local 236 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST() 269 constexpr int inputs_size = 4; in TF_LITE_MICRO_TEST() local 271 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST()
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D | maximum_minimum_test.cc | 37 constexpr int inputs_size = 2; in TestMaxMinFloat() local 39 constexpr int tensors_size = inputs_size + outputs_size; in TestMaxMinFloat() 78 constexpr int inputs_size = 2; in TestMaxMinQuantized() local 80 constexpr int tensors_size = inputs_size + outputs_size; in TestMaxMinQuantized() 117 constexpr int inputs_size = 2; in TestMaxMinQuantizedInt32() local 119 constexpr int tensors_size = inputs_size + outputs_size; in TestMaxMinQuantizedInt32()
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D | pad_test.cc | 101 constexpr int inputs_size = 2; in TestPadFloat() local 103 constexpr int tensors_size = inputs_size + outputs_size; in TestPadFloat() 128 constexpr int inputs_size = 3; in TestPadV2Float() local 130 constexpr int tensors_size = inputs_size + outputs_size; in TestPadV2Float() 156 constexpr int inputs_size = 2; in TestPadQuantized() local 158 constexpr int tensors_size = inputs_size + outputs_size; in TestPadQuantized() 195 constexpr int inputs_size = 3; in TestPadV2Quantized() local 197 constexpr int tensors_size = inputs_size + outputs_size; in TestPadV2Quantized()
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D | conv_test_common.cc | 127 constexpr int inputs_size = 3; in TestConvFloat() local 129 constexpr int tensors_size = inputs_size + outputs_size; in TestConvFloat() 160 constexpr int inputs_size = 3; in TestConvQuantizedPerLayer() local 162 constexpr int tensors_size = inputs_size + outputs_size; in TestConvQuantizedPerLayer() 229 constexpr int inputs_size = 3; in TestConvQuantizedPerChannel() local 231 constexpr int tensors_size = inputs_size + outputs_size; in TestConvQuantizedPerChannel()
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D | circular_buffer_test.cc | 59 constexpr int inputs_size = 2; in TF_LITE_MICRO_TEST() local 61 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST() 127 constexpr int inputs_size = 2; in TF_LITE_MICRO_TEST() local 129 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST()
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D | logistic_test.cc | 78 constexpr int inputs_size = 1; in TestLogisticFloat() local 80 constexpr int tensors_size = inputs_size + outputs_size; in TestLogisticFloat() 101 constexpr int inputs_size = 1; in TestLogisticQuantized() local 103 constexpr int tensors_size = inputs_size + outputs_size; in TestLogisticQuantized()
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D | prelu_test.cc | 56 constexpr int inputs_size = 2; in TestPreluFloat() local 58 constexpr int tensors_size = inputs_size + outputs_size; in TestPreluFloat() 84 constexpr int inputs_size = 2; in TestPreluQuantized() local 86 constexpr int tensors_size = inputs_size + outputs_size; in TestPreluQuantized()
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D | tanh_test.cc | 76 constexpr int inputs_size = 1; in TestTanhFloat() local 78 constexpr int tensors_size = inputs_size + outputs_size; in TestTanhFloat() 118 constexpr int inputs_size = 1; in TestTanhQuantized() local 120 constexpr int tensors_size = inputs_size + outputs_size; in TestTanhQuantized()
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D | batch_to_space_nd_test.cc | 76 constexpr int inputs_size = 3; in TestBatchToSpaceNdFloat() local 78 constexpr int tensors_size = inputs_size + outputs_size; in TestBatchToSpaceNdFloat() 103 constexpr int inputs_size = 3; in TestBatchToSpaceNdQuantized() local 105 constexpr int tensors_size = inputs_size + outputs_size; in TestBatchToSpaceNdQuantized()
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D | space_to_batch_nd_test.cc | 76 constexpr int inputs_size = 3; in TestSpaceToBatchNdFloat() local 78 constexpr int tensors_size = inputs_size + outputs_size; in TestSpaceToBatchNdFloat() 103 constexpr int inputs_size = 3; in TestSpaceToBatchNdQuantized() local 105 constexpr int tensors_size = inputs_size + outputs_size; in TestSpaceToBatchNdQuantized()
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D | hard_swish_test.cc | 93 constexpr int inputs_size = 1; in TestHardSwishQuantized() local 95 constexpr int tensors_size = inputs_size + outputs_size; in TestHardSwishQuantized() 172 constexpr int inputs_size = 1; in TestHardSwishQuantizedBias() local 174 constexpr int tensors_size = inputs_size + outputs_size; in TestHardSwishQuantizedBias() 226 constexpr int inputs_size = 1; in TestHardSwishFloat() local 228 constexpr int tensors_size = inputs_size + outputs_size; in TestHardSwishFloat()
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D | ceil_test.cc | 32 constexpr int inputs_size = 1; in TestCeil() local 34 constexpr int tensors_size = inputs_size + outputs_size; in TestCeil()
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D | floor_test.cc | 33 constexpr int inputs_size = 1; in TestFloor() local 35 constexpr int tensors_size = inputs_size + outputs_size; in TestFloor()
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D | exp_test.cc | 33 constexpr int inputs_size = 1; in TestExp() local 35 constexpr int tensors_size = inputs_size + outputs_size; in TestExp()
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D | neg_test.cc | 33 constexpr int inputs_size = 1; in TestNegFloat() local 35 constexpr int tensors_size = inputs_size + outputs_size; in TestNegFloat()
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D | round_test.cc | 32 constexpr int inputs_size = 1; in TestRound() local 34 constexpr int tensors_size = inputs_size + outputs_size; in TestRound()
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D | arg_min_max_test.cc | 59 constexpr int inputs_size = 2; in TestArgMinMaxFloat() local 61 constexpr int tensors_size = inputs_size + outputs_size; in TestArgMinMaxFloat() 85 constexpr int inputs_size = 2; in TestArgMinMaxQuantized() local 87 constexpr int tensors_size = inputs_size + outputs_size; in TestArgMinMaxQuantized()
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D | pooling_test.cc | 72 constexpr int inputs_size = 1; in TestAveragePoolFloat() local 74 constexpr int tensors_size = inputs_size + outputs_size; in TestAveragePoolFloat() 103 constexpr int inputs_size = 1; in TestAveragePoolQuantized() local 105 constexpr int tensors_size = inputs_size + outputs_size; in TestAveragePoolQuantized() 130 constexpr int inputs_size = 1; in TestMaxPoolFloat() local 132 constexpr int tensors_size = inputs_size + outputs_size; in TestMaxPoolFloat() 159 constexpr int inputs_size = 1; in TestMaxPoolQuantized() local 161 constexpr int tensors_size = inputs_size + outputs_size; in TestMaxPoolQuantized()
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D | mul_test.cc | 79 constexpr int inputs_size = 2; in TestMulFloat() local 81 constexpr int tensors_size = inputs_size + outputs_size; in TestMulFloat() 106 constexpr int inputs_size = 2; in TestMulQuantized() local 108 constexpr int tensors_size = inputs_size + outputs_size; in TestMulQuantized()
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D | depthwise_conv_test.cc | 98 constexpr int inputs_size = 3; in TestDepthwiseConvFloat() local 100 constexpr int tensors_size = inputs_size + outputs_size; in TestDepthwiseConvFloat() 127 constexpr int inputs_size = 3; in TestDepthwiseConvQuantizedPerLayer() local 129 constexpr int tensors_size = inputs_size + outputs_size; in TestDepthwiseConvQuantizedPerLayer() 213 constexpr int inputs_size = 3; in TestDepthwiseConvQuantizedPerChannel() local 215 constexpr int tensors_size = inputs_size + outputs_size; in TestDepthwiseConvQuantizedPerChannel() 752 constexpr int inputs_size = 3; in TF_LITE_MICRO_TEST() local 754 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST() 833 constexpr int inputs_size = 3; in TF_LITE_MICRO_TEST() local 835 constexpr int tensors_size = inputs_size + outputs_size; in TF_LITE_MICRO_TEST()
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/external/tensorflow/tensorflow/lite/python/optimize/ |
D | calibration_wrapper.cc | 174 const size_t inputs_size = PyList_Size(input_shapes); in Prepare() local 175 if (inputs_size != interpreter_->inputs().size()) { in Prepare() 178 interpreter_->inputs().size(), inputs_size); in Prepare() 182 for (size_t i = 0; i < inputs_size; i++) { in Prepare() 212 const size_t inputs_size = PyList_Size(input_value); in FeedTensor() local 214 if (inputs_size != interpreter_->inputs().size()) { in FeedTensor() 217 interpreter_->inputs().size(), inputs_size); in FeedTensor() 221 for (size_t i = 0; i < inputs_size; i++) { in FeedTensor()
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | gradients_test.py | 72 def lstm_model_fn(batch_size, state_size, steps, inputs_size=None): argument 73 inputs_size = inputs_size or state_size 75 random_ops.random_normal([batch_size, inputs_size]) for _ in range(steps) 111 def create_lstm_batch_jacobian(batch_size, state_size, steps, inputs_size=None): argument 113 inputs_size=inputs_size) 185 def create_lstm_per_eg_grad(batch_size, state_size, steps, inputs_size=None): argument 186 inputs_size = inputs_size or state_size 188 random_ops.random_normal([batch_size, inputs_size]) for _ in range(steps) 495 inputs_size=128) 605 100, 32, 8, inputs_size=128)
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