| /external/tensorflow/tensorflow/lite/tools/optimize/calibration/ |
| calibration_logger.h | 25 class MinMax {
73 const std::unordered_map<int, MinMax>& GetCalibrationValues() const {
78 std::unordered_map<int, MinMax> tensor_id_to_stats_map_;
|
| /external/gemmlowp/meta/ |
| transform_kernels.h | 48 struct MinMax {
126 class Transform1DKernel<InType, OutType, MinMax<Type>, kernel_size, leftovers> {
128 static void Transform(const InType* in, const MinMax<Type>& params,
132 std::cout << "MinMax::Transform(" << std::string(typeid(InType).name())
137 std::cerr << "FATAL: MinMax::Transform not implemented." << std::endl;
218 class Transform1DUtil<InType, OutType, MinMax<MinMaxType>> {
220 static int EstimateComputeCost(const MinMax<MinMaxType>& params) {
224 static const InType* OffsetInput(const MinMax<MinMaxType>& params,
229 static OutType* OffsetOutput(const MinMax<MinMaxType>& params,
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| transform_kernels_arm_32.h | [all...] |
| transform_kernels_arm_64.h | [all...] |
| test_transform_correctness.cc | 39 typedef Transform1DParams<std::uint8_t, std::uint8_t, MinMax<std::uint8_t>> MinMaxParams;
143 std::cout << "MinMax: OK" << std::endl;
|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| resolve_fake_quant_args_from_vars.cc | 39 if (fakequant_op->minmax) {
58 fakequant_op->minmax.reset(new MinMax);
59 MinMax& minmax = *fakequant_op->minmax; local
60 minmax.min = min_array.GetBuffer<ArrayDataType::kFloat>().data[0];
61 minmax.max = max_array.GetBuffer<ArrayDataType::kFloat>().data[0];
63 if (minmax.min > 0 || minmax.max < 0)
[all...] |
| read_array_minmax_and_narrow_range_from_fake_quant.cc | 35 if (!annotated_array.minmax) {
36 const MinMax& minmax = *fq_op.minmax; local
37 annotated_array.GetOrCreateMinMax() = minmax;
40 minmax.min, minmax.max);
64 if (!fq_op->minmax) {
69 // At this point, this FakeQuantOperator should have a MinMax
72 CHECK(fq_op->minmax);
[all...] |
| hardcode_min_max.cc | 34 if (im2col_array.minmax) {
38 if (!input_array.minmax) {
42 CHECK(!im2col_array.minmax);
51 if (output_array.minmax) {
55 if (!input_array.minmax) {
59 CHECK(!output_array.minmax);
68 if (input.minmax) {
69 const auto* minmax = input.minmax.get(); local
70 if (minmax) {
76 const auto* minmax = model->GetArray(op->outputs[0]).minmax.get(); local
94 const auto* minmax = model->GetArray(input).minmax.get(); local
104 const auto* minmax = model->GetArray(op->outputs[0]).minmax.get(); local
341 auto& minmax = input_activations.GetOrCreateMinMax(); local
350 auto& minmax = prev_output_activations.GetOrCreateMinMax(); local
359 auto& minmax = output_concat_temp.GetOrCreateMinMax(); local
368 auto& minmax = output_activations.GetOrCreateMinMax(); local
385 auto& minmax = output_activations_temp.GetOrCreateMinMax(); local
[all...] |
| graph_transformations.h | 223 MinMax minmax; local
224 minmax.min = min;
225 minmax.max = max;
226 type_ranges_.emplace_back(data_type, minmax);
231 std::vector<std::pair<ArrayDataType, MinMax>> type_ranges_;
|
| propagate_fake_quant_num_bits.cc | 32 const MinMax* new_minmax) {
40 if (array->minmax && array->quantization_params) {
56 // Compute new minmax values.
80 if (!array->minmax && new_minmax) {
81 transformation->AddMessageF("Forcing new minmax to %g,%g (%s)",
154 const MinMax& new_minmax) {
273 // quantize.cc about minmax ranges being determined by the contents of constant
305 const auto& final_minmax = *fakequant_op->minmax;
|
| resolve_constant_concatenation.cc | 113 // If the minmax is already set, use it
114 if (concatenated_array->minmax) return;
120 // If any of the input arrays minmax is not set, return.
121 // TODO(ghodrat): shall we add the logic to compute the minmax?
122 if (!input_array->minmax) return;
123 const MinMax& input_minmax = input_array->GetMinMax();
127 MinMax& minmax = concatenated_array->GetOrCreateMinMax(); local
128 minmax.min = concat_min;
129 minmax.max = concat_max
[all...] |
| quantize.cc | 83 const MinMax& GetOrComputeMinMax(Model* model, const string& array_name) {
85 // Normally we should have a MinMax recorded on this Array,
87 if (array.minmax != nullptr) {
88 return *array.minmax;
91 // We don't have a MinMax. That's bad news: we need
92 // the graph to provide MinMax info for all arrays in order
102 // lacks some minmax information.
130 << " lacks MinMax information. To make up for that, we will now "
132 << " the MinMax from actual array elements. That will result in"
139 auto& minmax = array.GetOrCreateMinMax() local
239 const MinMax& minmax = GetOrComputeMinMax(model, input); local
387 const MinMax& minmax = GetOrComputeMinMax(model, output); local
[all...] |
| dequantize.cc | 119 // If there was no minmax info, we can return now. Indeed,
121 // quantized without MinMax (see the CHECK above) and that corresponds to
125 if (!array->minmax) {
160 fakequant_op->minmax.reset(new MinMax);
161 *fakequant_op->minmax = array->GetMinMax();
|
| /external/harfbuzz_ng/src/ |
| hb-ot-layout-base-table.hh | 185 * of MinMax table (may be NULL) */
189 * of MinMax table (may be NULL) */
195 struct MinMax
229 * of MinMax table (may be NULL) */
233 * of MinMax table (may be NULL) */
283 const MinMax &get_min_max () const
284 { return this+minMax; }
290 minMax.sanitize (c, this)));
295 OffsetTo<MinMax>
296 minMax; /* Offset to MinMax table, from beginnin
[all...] |
| /external/tensorflow/tensorflow/lite/toco/ |
| model.h | 921 struct MinMax {
926 inline bool operator==(const MinMax& m1, const MinMax& m2) {
931 // - Annotate its input and output arrays with MinMax information,
934 // values from the min to the max value dictated by its MinMax info.
946 std::unique_ptr<MinMax> minmax; member in struct:toco::FakeQuantOperator
2215 std::unique_ptr<MinMax> minmax; member in struct:toco::Array
[all...] |
| /external/v8/src/asmjs/ |
| asm-types.cc | 233 auto* MinMax = new (zone) AsmMinMaxType(dest, src);
234 return reinterpret_cast<AsmType*>(MinMax);
|
| /external/compiler-rt/lib/sanitizer_common/tests/ |
| sanitizer_printf_test.cc | 118 TEST(Printf, MinMax) {
|
| /external/swiftshader/third_party/llvm-7.0/llvm/tools/llvm-xray/ |
| xray-account.cpp | 237 auto MinMax = std::minmax_element(Timings.begin(), Timings.end());
238 R.Min = *MinMax.first;
239 R.Max = *MinMax.second;
|
| /external/tensorflow/tensorflow/lite/toco/tflite/ |
| import.cc | 85 MinMax& minmax = array.GetOrCreateMinMax(); local
86 minmax.min = quantization->min()->Get(0);
87 minmax.max = quantization->max()->Get(0);
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/ |
| types.h | 683 struct MinMax {
687 static_assert(sizeof(MinMax) == 8, "");
809 MinMax minmax; member in struct:tflite::FakeQuantParams
|
| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| types.h | 699 struct MinMax {
703 static_assert(sizeof(MinMax) == 8, "");
833 MinMax minmax; member in struct:tflite::FakeQuantParams
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| meta_support.cc | 390 gemmlowp::meta::MinMax<uint8_t>>
|
| /external/gemmlowp/meta/generators/ |
| transform_kernels_common.py | 46 emitter.EmitComment('MinMax::Prepare')
59 """Generate the MinMax transform inner loop code."""
61 emitter.EmitComment('MinMax::Transform')
383 class MinMax(BaseTransform):
387 BaseTransform.__init__(self, cc_emitter, 'MinMax<%s>' % numerical_type,
571 minmax = MinMax('uint8_t', cc_emitter, asm_emitter)
586 minmax.SpecializeTransform1DKernel('uint8_t', 'uint8_t', shape[0], shape[1])
|
| /external/v8/src/arm/ |
| simulator-arm.cc | [all...] |
| /external/swiftshader/src/Reactor/ |
| ReactorUnitTests.cpp | 457 TEST(ReactorUnitTests, MinMax)
|
