| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| D | quantization_util.cc | 28 *out_quantized_data_type = ArrayDataType::kUint8; in InferQuantizedDataTypeFromFakeQuant()
43 case ArrayDataType::kUint8: in GetQuantizedDataTypeNumericalRange()
60 case ArrayDataType::kUint8: in GetQuantizedDataType()
92 case ArrayDataType::kUint8: in ChooseQuantizationParamsForArrayAndQuantizedDataType()
94 ArrayDataType::kUint8>(array, quantization_params); in ChooseQuantizationParamsForArrayAndQuantizedDataType()
196 case ArrayDataType::kUint8: in QuantizeArray()
197 return QuantizeArray<ArrayDataType::kUint8>(transformation, model, name, in QuantizeArray()
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| D | resolve_multiply_by_zero.cc | 115 case ArrayDataType::kUint8: { in Run()
117 constant_input_array.GetBuffer<ArrayDataType::kUint8>().data; in Run()
118 if (!AreAllBufferElementsZero<DataType<ArrayDataType::kUint8>>( in Run()
122 FillArrayWithZeros<ArrayDataType::kUint8>(&output_array); in Run()
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| D | shuffle_fc_weights.cc | 46 if (input_array.data_type != ArrayDataType::kUint8 || in Run()
47 weights_array.data_type != ArrayDataType::kUint8 || in Run()
118 weights_array.GetMutableBuffer<ArrayDataType::kUint8>().data; in Run()
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| D | ensure_uint8_weights_safe_for_fast_int8_kernels.cc | 160 if (array.data_type != ArrayDataType::kUint8) { in Run()
163 auto& buffer_data = array.GetMutableBuffer<ArrayDataType::kUint8>().data; in Run()
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| D | resolve_constant_reshape.cc | 74 case ArrayDataType::kUint8: in Run()
75 CopyArrayBuffer<ArrayDataType::kUint8>(input_array, &output_array); in Run()
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| D | resolve_constant_fill.cc | 86 case ArrayDataType::kUint8: in Run()
87 if (!ComputeFillArray<ArrayDataType::kUint8>(model, op)) { in Run()
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| D | resolve_constant_pack.cc | 95 case ArrayDataType::kUint8: in Run()
96 Pack<ArrayDataType::kUint8>(model, *op); in Run()
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| D | resolve_reorder_axes.cc | 109 } else if (input_array.buffer->type == ArrayDataType::kUint8) { in Run()
113 ReorderAxes<uint8, ArrayDataType::kUint8>(reorder_op->input_axes_order, in Run()
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| D | resolve_constant_fake_quant.cc | 41 case ArrayDataType::kUint8: in GetBoundsForQuantizedDataType()
42 return GetBoundsForQuantizedDataType<ArrayDataType::kUint8>(min, max); in GetBoundsForQuantizedDataType()
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| D | quantize.cc | 213 case ArrayDataType::kUint8: in GetQuantizationPoints()
214 return GetQuantizationPoints<ArrayDataType::kUint8>(); in GetQuantizationPoints()
291 *quantized_data_type = GetQuantizedDataType(array, ArrayDataType::kUint8); in ChooseQuantizationForOperatorInput()
313 if (data_type == ArrayDataType::kUint8) { in IsExactlyRepresentable()
418 GetQuantizedDataType(input_array, ArrayDataType::kUint8); in ChooseQuantizationForOperatorOutput()
439 *quantized_data_type = GetQuantizedDataType(array, ArrayDataType::kUint8); in ChooseQuantizationForOperatorOutput()
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| D | resolve_constant_gather.cc | 126 case ArrayDataType::kUint8: in Run()
127 Gather<ArrayDataType::kUint8>(input_array, coords_array, &output_array); in Run()
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| D | resolve_constant_slice.cc | 135 case ArrayDataType::kUint8: in Run()
136 if (!Slice<ArrayDataType::kUint8>(*op, input_array, &output_array)) { in Run()
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| D | resolve_constant_strided_slice.cc | 147 case ArrayDataType::kUint8: in Run()
148 StridedSlice<ArrayDataType::kUint8>(*op, input_array, &output_array); in Run()
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| D | resolve_constant_tile.cc | 141 case ArrayDataType::kUint8: in Run()
142 Tile<ArrayDataType::kUint8>(input_array, multiples_array, &output_array); in Run()
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| D | resolve_constant_transpose.cc | 150 case ArrayDataType::kUint8: in Run()
151 Transpose<ArrayDataType::kUint8>(model, input_array, op->perm, in Run()
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| D | resolve_constant_concatenation.cc | 185 case ArrayDataType::kUint8: in Run()
186 ConcatenateTensorBuffers<ArrayDataType::kUint8>( in Run()
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| D | dequantize.cc | 88 if (array->data_type == ArrayDataType::kUint8) { in DequantizeArray()
89 DequantizeBuffer<ArrayDataType::kUint8>(array); in DequantizeArray()
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| D | propagate_default_min_max.cc | 78 GetQuantizedDataType(*array, ArrayDataType::kUint8); in SetArrayMinMax()
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| D | identify_nearest_upsample.cc | 136 } else if (const_array.data_type == ArrayDataType::kUint8) { in Run()
137 if (!HasSameValues<ArrayDataType::kUint8, uint8_t>(const_array, 255)) in Run()
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| D | convert_matrix_diag_v2_or_v3_to_v1.cc | 63 input_padding_value.GetBuffer<ArrayDataType::kUint8>().data; in Run()
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| D | resolve_constant_unary.cc | 225 } else if (input_array.buffer->type == ArrayDataType::kUint8) { in Run()
227 input_array.GetBuffer<ArrayDataType::kUint8>().data[i]); in Run()
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| /external/tensorflow/tensorflow/lite/toco/tflite/ |
| D | types.cc | 97 case ArrayDataType::kUint8: in Serialize()
125 return ArrayDataType::kUint8; in Deserialize()
150 case ArrayDataType::kUint8: in Serialize()
151 return CopyBuffer<ArrayDataType::kUint8>(array, builder); in Serialize()
178 return CopyBuffer<ArrayDataType::kUint8>(buffer, array); in Deserialize()
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| D | operator_test.cc | 192 op.dst_data_type = ArrayDataType::kUint8; in TEST_F()
572 uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
785 uint8_array.data_type = ArrayDataType::kUint8; in SimpleVersioningTest()
807 uint8_array.data_type = ArrayDataType::kUint8; in SimpleOutputVersioningTest()
868 uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
964 SimpleMulVersioningTest(ArrayDataType::kUint8, 0.5f, 1); in TEST_F()
998 input_uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
1001 weight_uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
1004 output_uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
1069 input_uint8_array.data_type = ArrayDataType::kUint8; in TEST_F()
[all …]
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| D | types_test.cc | 72 {ArrayDataType::kUint8, ::tflite::TensorType_UINT8}, in TEST()
146 Array recovered = ToFlatBufferAndBack<ArrayDataType::kUint8>({127, 244}); in TEST()
147 EXPECT_THAT(recovered.GetBuffer<ArrayDataType::kUint8>().data, in TEST()
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| /external/v8/src/compiler/ |
| D | type-cache.h | 30 Type const kUint8 = CreateRange<uint8_t>(); variable
31 Type const kUint8Clamped = kUint8;
33 Type::Union(kUint8, Type::MinusZeroOrNaN(), zone());
|