| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/c/ |
| A D | common.c | 93 void TfLiteQuantizationFree(TfLiteQuantization* quantization) { in TfLiteQuantizationFree() argument
94 if (quantization->type == kTfLiteAffineQuantization) { in TfLiteQuantizationFree()
96 (TfLiteAffineQuantization*)(quantization->params); in TfLiteQuantizationFree()
107 quantization->params = NULL; in TfLiteQuantizationFree()
108 quantization->type = kTfLiteNoQuantization; in TfLiteQuantizationFree()
154 TfLiteQuantizationFree(&t->quantization); in TfLiteTensorFree()
160 TfLiteQuantizationParams quantization, char* buffer, in TfLiteTensorReset() argument
168 tensor->params = quantization; in TfLiteTensorReset()
175 tensor->quantization.type = kTfLiteNoQuantization; in TfLiteTensorReset()
176 tensor->quantization.params = NULL; in TfLiteTensorReset()
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| A D | common.h | 444 TfLiteQuantization quantization; member
516 TfLiteQuantization quantization; member
602 void TfLiteQuantizationFree(TfLiteQuantization* quantization);
612 TfLiteQuantizationParams quantization, char* buffer,
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/ |
| A D | interpreter.h | 156 const std::vector<int>& dims, TfLiteQuantization quantization,
162 const std::vector<int>& dims, TfLiteQuantizationParams quantization,
166 dims.data(), quantization, buffer, bytes,
172 const int* dims, TfLiteQuantizationParams quantization,
182 TfLiteQuantization quantization,
188 const std::vector<int>& dims, TfLiteQuantizationParams quantization,
198 tensor_index, type, name, dims.size(), dims.data(), quantization,
203 const int* dims, TfLiteQuantizationParams quantization,
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| A D | interpreter_builder.h | 113 TfLiteQuantization* quantization,
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| /AliOS-Things-master/components/SDL2/src/image/external/jpeg-9b/ |
| A D | wizard.txt | 21 jcparam.c. At very low quality settings, some quantization table entries
22 can get scaled up to values exceeding 255. Although 2-byte quantization
26 quantization values to no more than 255 by giving the -baseline switch.
30 You can substitute a different set of quantization values by using the
33 -qtables file Use the quantization tables given in the named file.
35 The specified file should be a text file containing decimal quantization
44 duplicates the default quantization tables:
72 the quantization values are constrained to the range 1-255.
78 -qslots N[,...] Select which quantization table to use for
81 The -qslots switch specifies a quantization table number for each color
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| A D | usage.txt | 70 -quality N[,...] Scale quantization tables to adjust image quality.
200 quantization tables can be adjusted accordingly.
257 -baseline Force baseline-compatible quantization tables to be
258 generated. This clamps quantization values to 8 bits
264 -qtables file Use the quantization tables given in the specified
356 -dither fs Use Floyd-Steinberg dithering in color quantization.
357 -dither ordered Use ordered dithering in color quantization.
358 -dither none Do not use dithering in color quantization.
364 no effect unless color quantization is being done.
376 -onepass Use one-pass instead of two-pass color quantization.
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| A D | filelist.txt | 95 jquant1.c One-pass color quantization using a fixed-spacing colormap.
96 jquant2.c Two-pass color quantization using a custom-generated colormap.
97 Also handles one-pass quantization to an externally given map.
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| A D | structure.txt | 68 and color quantization. This code can be omitted if not needed.
130 * MCU assembly, DCT, quantization.
149 * Optional color quantization (e.g., reduction to 256 colors).
161 conversion, and color quantization might all be done at once when using a
365 the conversion to zigzag order within the quantization step.)
421 |-- Color quantization
457 * Postprocessing controller: buffer controller for the color quantization
458 input buffer, when quantization is in use. (Without quantization, this
459 controller just calls the upsampler.) For two-pass quantization, this
475 * Color quantization: reduce the data to colormapped form, using either an
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| A D | libjpeg.txt | 79 library automatically invokes color quantization.
821 Constructs JPEG quantization tables appropriate for the indicated
859 Allows an arbitrary quantization table to be created. which_tbl
1013 Pointers to coefficient quantization tables, one per table slot,
1016 is general enough to define any quantization table. The other
2128 quantization method is used.
2133 1. Single-pass quantization to a fixed color cube.
2135 2. Single-pass quantization to an application-supplied colormap.
2327 for an example of copying quantization tables.
2334 to load a fixed quantization table into table slot "n":
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| A D | change.log | 182 quantization table slot).
299 DCT coefficient quantization tables are now stored in normal array order
301 or otherwise manipulates quantization tables directly, will need to be
424 * JPEG abbreviated datastream formats are supported, ie, quantization and
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| /AliOS-Things-master/components/SDL2/src/image/external/libwebp-1.0.2/src/enc/ |
| A D | predictor_enc.c | 151 uint8_t boundary, int quantization) { in NearLosslessComponent() argument
154 const int lower = residual & ~(quantization - 1); in NearLosslessComponent()
155 const int upper = lower + quantization; in NearLosslessComponent()
165 return lower + (quantization >> 1); in NearLosslessComponent()
174 return lower + (quantization >> 1); in NearLosslessComponent()
192 int quantization; in NearLossless() local
199 quantization = max_quantization; in NearLossless()
200 while (quantization >= max_diff) { in NearLossless()
201 quantization >>= 1; in NearLossless()
210 quantization); in NearLossless()
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/experimental/resource/ |
| A D | resource_variable.cc | 58 tensor_.quantization = tensor->quantization; in AssignFrom()
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/ |
| A D | micro_allocator.cc | 491 const auto* src_quantization = flatbuffer_tensor.quantization(); in InitializeTfLiteTensorFromFlatbuffer()
507 TfLiteAffineQuantization* quantization = in InitializeTfLiteTensorFromFlatbuffer() local
516 if (quantization == nullptr) { in InitializeTfLiteTensorFromFlatbuffer()
525 quantization->zero_point = in InitializeTfLiteTensorFromFlatbuffer()
533 if (quantization->zero_point == nullptr) { in InitializeTfLiteTensorFromFlatbuffer()
541 &quantization->scale)); in InitializeTfLiteTensorFromFlatbuffer()
543 quantization->zero_point->size = channels; in InitializeTfLiteTensorFromFlatbuffer()
544 int* zero_point_data = quantization->zero_point->data; in InitializeTfLiteTensorFromFlatbuffer()
550 quantization->quantized_dimension = src_quantization->quantized_dimension(); in InitializeTfLiteTensorFromFlatbuffer()
552 result->quantization = {kTfLiteAffineQuantization, quantization}; in InitializeTfLiteTensorFromFlatbuffer()
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| A D | test_helpers.h | 169 result.quantization = {kTfLiteNoQuantization, nullptr};
178 result.quantization = {kTfLiteAffineQuantization, nullptr};
189 result.quantization = {kTfLiteAffineQuantization, nullptr};
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| A D | micro_graph.cc | 207 value = tensor->quantization()->zero_point()->Get(0); in ResetVariableTensors()
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| A D | test_helpers.cc | 1042 result.quantization = {kTfLiteAffineQuantization, affine_quant}; in CreatePerChannelQuantizedBiasTensor()
1066 result.quantization = {kTfLiteAffineQuantization, affine_quant}; in CreateSymmetricPerChannelQuantizedTensor()
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/kernels/ |
| A D | quantize_common.cc | 43 TF_LITE_ENSURE_EQ(context, output->quantization.type, in PrepareQuantizeReference()
46 reinterpret_cast<TfLiteAffineQuantization*>(output->quantization.params); in PrepareQuantizeReference()
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| A D | conv_common.cc | 159 TF_LITE_ENSURE_EQ(context, filter->quantization.type, in ConvPrepare()
163 static_cast<TfLiteAffineQuantization*>(filter->quantization.params); in ConvPrepare()
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| A D | depthwise_conv_common.cc | 163 TF_LITE_ENSURE_EQ(context, filter->quantization.type, in DepthwiseConvPrepare()
167 static_cast<TfLiteAffineQuantization*>(filter->quantization.params); in DepthwiseConvPrepare()
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| A D | transpose_conv.cc | 159 TF_LITE_ENSURE_EQ(context, filter->quantization.type, in Prepare()
163 static_cast<TfLiteAffineQuantization*>(filter->quantization.params); in Prepare()
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/ |
| A D | kernel_util.cc | 202 reinterpret_cast<TfLiteAffineQuantization*>(filter->quantization.params); in PopulateConvolutionQuantizationParams()
216 TF_LITE_ENSURE_EQ(context, input->quantization.type, in PopulateConvolutionQuantizationParams()
218 TF_LITE_ENSURE_EQ(context, filter->quantization.type, in PopulateConvolutionQuantizationParams()
228 reinterpret_cast<TfLiteAffineQuantization*>(filter->quantization.params); in PopulateConvolutionQuantizationParams()
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| A D | test_util.h | 406 reinterpret_cast<TfLiteAffineQuantization*>(t->quantization.params); in PerChannelSymmetricQuantizeAndPopulate()
461 reinterpret_cast<TfLiteAffineQuantization*>(t->quantization.params); in PerChannelQuantizeBias()
820 TfLiteQuantizationFree(&t->quantization); in QuantizeTensor()
821 t->quantization.type = kTfLiteAffineQuantization; in QuantizeTensor()
829 t->quantization.params = affine_quantization; in QuantizeTensor()
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| /AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/ |
| A D | depthwise_conv.cc | 73 TF_LITE_ENSURE_EQ(context, filter->quantization.type, in Prepare()
79 filter->quantization.params); in Prepare()
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| /AliOS-Things-master/solutions/tflite_micro_speech_demo/micro_speech/train/speech_commands/ |
| A D | train.py | 130 fingerprint_input = tf.quantization.fake_quant_with_min_max_args(
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| /AliOS-Things-master/solutions/tflite_micro_speech_demo/micro_speech/train/ |
| A D | train_micro_speech_model.ipynb | 465 " input_scale, input_zero_point = input_details[\"quantization\"]\n",
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