| /external/tensorflow/tensorflow/lite/kernels/ |
| D | kernel_util_test.cc | 255 input_params->zero_point = TfLiteIntArrayCreate(1); in TEST_F()
256 input_params->zero_point->data[0] = 5; in TEST_F()
277 filter_params->zero_point = TfLiteIntArrayCreate(3); in TEST_F()
278 filter_params->zero_point->data[0] = 0; in TEST_F()
279 filter_params->zero_point->data[1] = 0; in TEST_F()
280 filter_params->zero_point->data[2] = 0; in TEST_F()
298 bias_params->zero_point = TfLiteIntArrayCreate(3); in TEST_F()
299 bias_params->zero_point->data[0] = 11; in TEST_F()
300 bias_params->zero_point->data[1] = 12; in TEST_F()
301 bias_params->zero_point->data[2] = 15; in TEST_F()
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| D | quantize.cc | 152 op_params.zero_point = output->params.zero_point; in Eval()
183 input->params.zero_point, in Eval()
184 output->params.zero_point, in Eval()
199 data->output_shift, input->params.zero_point, in Eval()
200 output->params.zero_point, in Eval()
205 data->output_shift, input->params.zero_point, in Eval()
206 output->params.zero_point, in Eval()
221 data->output_shift, input->params.zero_point, in Eval()
222 output->params.zero_point, in Eval()
227 data->output_shift, input->params.zero_point, in Eval()
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| D | cpu_backend_gemm_custom_gemv.h | 192 std::uint8_t zero_point) { in Load16AndSubtractZeroPoint() argument
197 int16x8_t zero_point_vec = vdupq_n_s16(zero_point); in Load16AndSubtractZeroPoint()
204 std::int8_t zero_point) { in Load16AndSubtractZeroPoint() argument
209 int16x8_t zero_point_vec = vdupq_n_s16(zero_point); in Load16AndSubtractZeroPoint()
216 std::uint8_t zero_point) { in Load8AndSubtractZeroPoint() argument
219 int16x8_t zero_point_vec = vdupq_n_s16(zero_point); in Load8AndSubtractZeroPoint()
224 std::int8_t zero_point) { in Load8AndSubtractZeroPoint() argument
227 int16x8_t zero_point_vec = vdupq_n_s16(zero_point); in Load8AndSubtractZeroPoint()
367 Load16AndSubtractZeroPoint(rhs_data + in, rhs_params.zero_point);
369 Load16AndSubtractZeroPoint(local_filter_ptr, lhs_params.zero_point);
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| D | pad.cc | 182 TF_LITE_ENSURE(context, op_context.output->params.zero_point >= in Eval()
184 TF_LITE_ENSURE(context, op_context.output->params.zero_point <= in Eval()
186 pad_value = static_cast<uint8_t>(op_context.output->params.zero_point); in Eval()
190 TF_LITE_ENSURE_EQ(context, op_context.output->params.zero_point, in Eval()
191 op_context.constant_values->params.zero_point); in Eval()
215 TF_LITE_ENSURE(context, op_context.output->params.zero_point >= in Eval()
217 TF_LITE_ENSURE(context, op_context.output->params.zero_point <= in Eval()
219 pad_value = static_cast<int8_t>(op_context.output->params.zero_point); in Eval()
223 TF_LITE_ENSURE_EQ(context, op_context.output->params.zero_point, in Eval()
224 op_context.constant_values->params.zero_point); in Eval()
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| D | test_util.h | 51 int32_t zero_point) { in Quantize() argument
57 std::round(zero_point + (f / scale)))))); in Quantize()
64 int32_t zero_point) { in Dequantize() argument
68 f.push_back(scale * (q - zero_point)); in Dequantize()
95 int32_t zero_point = 0, bool per_channel_quantization = false,
104 zero_point(zero_point), in type()
116 int32_t zero_point; member
172 const std::vector<int64_t>& zero_point);
210 auto q = Quantize<T>(data, t->params.scale, t->params.zero_point); in QuantizeAndPopulate()
286 int32_t GetZeroPoint(int id) { return tensor_data_.at(id).zero_point; } in GetZeroPoint()
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| D | cpu_backend_gemm_gemmlowp.h | 96 scale_stage.result_offset_after_shift = dst_params.zero_point;
114 &gemmlowp_dst, -lhs_params.zero_point, -rhs_params.zero_point,
121 &gemmlowp_dst, -lhs_params.zero_point, -rhs_params.zero_point,
161 scale_stage.result_offset_after_shift = dst_params.zero_point;
177 -lhs_params.zero_point, -rhs_params.zero_point, output_pipeline);
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| D | activations.cc | 104 TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0); in CheckOutputQuantParams()
106 TF_LITE_ENSURE_EQ(context, output->params.zero_point, -128); in CheckOutputQuantParams()
121 input->params.scale * (val - input->params.zero_point); in PopulateLookupTable()
125 static_cast<int32_t>(rescaled + output->params.zero_point); in PopulateLookupTable()
197 output->params.zero_point + in QuantizedReluX()
204 output->params.zero_point + in QuantizedReluX()
206 params.input_offset = input->params.zero_point; in QuantizedReluX()
207 params.output_offset = output->params.zero_point; in QuantizedReluX()
329 params->input_zero_point = input->params.zero_point; in HardSwishPrepare()
330 params->output_zero_point = output->params.zero_point; in HardSwishPrepare()
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| D | reduce.cc | 304 input->params.zero_point, input->params.scale, in EvalMean()
307 op_context.output->params.zero_point, in EvalMean()
324 input->params.zero_point, input->params.scale, in EvalMean()
327 op_context.output->params.zero_point, in EvalMean()
412 GetTensorData<int8_t>(input), op_context.input->params.zero_point, in EvalMean()
415 op_context.output->params.zero_point); in EvalMean()
416 } else if (input->params.zero_point == in EvalMean()
417 op_context.output->params.zero_point && in EvalMean()
433 GetTensorData<int8_t>(input), input->params.zero_point, in EvalMean()
436 op_context.output->params.zero_point, in EvalMean()
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| D | sub.cc | 97 input1_quantization_params.zero_point >= integer_type_min); in Prepare8BitSubOp()
99 input1_quantization_params.zero_point <= integer_type_max); in Prepare8BitSubOp()
101 input2_quantization_params.zero_point >= integer_type_min); in Prepare8BitSubOp()
103 input2_quantization_params.zero_point <= integer_type_max); in Prepare8BitSubOp()
105 output_quantization_params.zero_point >= integer_type_min); in Prepare8BitSubOp()
107 output_quantization_params.zero_point <= integer_type_max); in Prepare8BitSubOp()
109 op_params->input1_offset = -input1_quantization_params.zero_point; in Prepare8BitSubOp()
110 op_params->input2_offset = -input2_quantization_params.zero_point; in Prepare8BitSubOp()
111 op_params->output_offset = output_quantization_params.zero_point; in Prepare8BitSubOp()
153 TF_LITE_ENSURE_EQ(context, input1->params.zero_point, 0); in PrepareInt16SubOp()
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| /external/tensorflow/tensorflow/lite/micro/kernels/ |
| D | quantize_test.cc | 30 T* golden_quantized, float scale, int zero_point, in TestQuantize() argument
39 output_data, output_dims, scale, zero_point, "output_tensor"); in TestQuantize()
43 int zero_points[] = {1, zero_point}; in TestQuantize()
45 quant.zero_point = IntArrayFromInts(zero_points); in TestQuantize()
100 zero_point); in TestQuantize()
118 const int zero_point = 127; in TF_LITE_MICRO_TEST() local
122 scale, zero_point, output); in TF_LITE_MICRO_TEST()
131 const int zero_point = 127; in TF_LITE_MICRO_TEST() local
135 scale, zero_point, output); in TF_LITE_MICRO_TEST()
144 const int zero_point = -1; in TF_LITE_MICRO_TEST() local
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| D | dequantize_test.cc | 29 T* input_data_quantized, float scale, int zero_point, in TestDequantize() argument
39 int zero_points_array[] = {1, zero_point}; in TestDequantize()
42 quant.zero_point = IntArrayFromInts(zero_points_array); in TestDequantize()
46 zero_point, "input_tensor"); in TestDequantize()
116 const int zero_point = 127; in TF_LITE_MICRO_TEST() local
120 zero_point, dims, values, output); in TF_LITE_MICRO_TEST()
129 const int zero_point = -1; in TF_LITE_MICRO_TEST() local
133 zero_point, dims, values, output); in TF_LITE_MICRO_TEST()
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| D | pad.cc | 145 TF_LITE_ENSURE(context, op_context.output->params.zero_point >= in Eval()
147 TF_LITE_ENSURE(context, op_context.output->params.zero_point <= in Eval()
149 pad_value = static_cast<uint8_t>(op_context.output->params.zero_point); in Eval()
153 TF_LITE_ENSURE_EQ(context, op_context.output->params.zero_point, in Eval()
154 op_context.constant_values->params.zero_point); in Eval()
171 TF_LITE_ENSURE(context, op_context.output->params.zero_point >= in Eval()
173 TF_LITE_ENSURE(context, op_context.output->params.zero_point <= in Eval()
175 pad_value = static_cast<int8_t>(op_context.output->params.zero_point); in Eval()
179 TF_LITE_ENSURE_EQ(context, op_context.output->params.zero_point, in Eval()
180 op_context.constant_values->params.zero_point); in Eval()
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| /external/XNNPACK/src/requantization/ |
| D | precise-scalar.c | 22 uint8_t zero_point, in xnn_requantize_precise__scalar_unsigned32() argument
41 const int32_t smin = (int32_t)(uint32_t) qmin - (int32_t)(uint32_t) zero_point; in xnn_requantize_precise__scalar_unsigned32()
42 const int32_t smax = (int32_t)(uint32_t) qmax - (int32_t)(uint32_t) zero_point; in xnn_requantize_precise__scalar_unsigned32()
118 const int32_t x_biased = x_clamped + zero_point; in xnn_requantize_precise__scalar_unsigned32()
119 const int32_t y_biased = y_clamped + zero_point; in xnn_requantize_precise__scalar_unsigned32()
120 const int32_t z_biased = z_clamped + zero_point; in xnn_requantize_precise__scalar_unsigned32()
121 const int32_t w_biased = w_clamped + zero_point; in xnn_requantize_precise__scalar_unsigned32()
135 uint8_t zero_point, in xnn_requantize_precise__scalar_unsigned64() argument
151 const int32_t smin = (int32_t)(uint32_t) qmin - (int32_t)(uint32_t) zero_point; in xnn_requantize_precise__scalar_unsigned64()
152 const int32_t smax = (int32_t)(uint32_t) qmax - (int32_t)(uint32_t) zero_point; in xnn_requantize_precise__scalar_unsigned64()
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| D | fp32-scalar.c | 22 uint8_t zero_point, in xnn_requantize_fp32__scalar_lrintf() argument
31 const long lmin = (long) ((int32_t)(uint32_t) qmin - (int32_t)(uint32_t) zero_point); in xnn_requantize_fp32__scalar_lrintf()
32 const long lmax = (long) ((int32_t)(uint32_t) qmax - (int32_t)(uint32_t) zero_point); in xnn_requantize_fp32__scalar_lrintf()
55 const int32_t x_biased = x_clamped + (int32_t)(uint32_t) zero_point; in xnn_requantize_fp32__scalar_lrintf()
56 const int32_t y_biased = y_clamped + (int32_t)(uint32_t) zero_point; in xnn_requantize_fp32__scalar_lrintf()
57 const int32_t z_biased = z_clamped + (int32_t)(uint32_t) zero_point; in xnn_requantize_fp32__scalar_lrintf()
58 const int32_t w_biased = w_clamped + (int32_t)(uint32_t) zero_point; in xnn_requantize_fp32__scalar_lrintf()
72 uint8_t zero_point, in xnn_requantize_fp32__scalar_magic() argument
81 const float fmin = (float) ((int32_t)(uint32_t) qmin - (int32_t)(uint32_t) zero_point); in xnn_requantize_fp32__scalar_magic()
82 const float fmax = (float) ((int32_t)(uint32_t) qmax - (int32_t)(uint32_t) zero_point); in xnn_requantize_fp32__scalar_magic()
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| D | q31-scalar.c | 22 uint8_t zero_point, in xnn_requantize_q31__scalar() argument
47 const int32_t smin = (int32_t)(uint32_t) qmin - (int32_t)(uint32_t) zero_point; in xnn_requantize_q31__scalar()
48 const int32_t smax = (int32_t)(uint32_t) qmax - (int32_t)(uint32_t) zero_point; in xnn_requantize_q31__scalar()
118 const int32_t x_biased = x_clamped + zero_point; in xnn_requantize_q31__scalar()
119 const int32_t y_biased = y_clamped + zero_point; in xnn_requantize_q31__scalar()
120 const int32_t z_biased = z_clamped + zero_point; in xnn_requantize_q31__scalar()
121 const int32_t w_biased = w_clamped + zero_point; in xnn_requantize_q31__scalar()
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| D | gemmlowp-scalar.c | 24 uint8_t zero_point, in xnn_requantize_gemmlowp__scalar() argument
60 const int32_t x_biased = x_scaled + zero_point; in xnn_requantize_gemmlowp__scalar()
61 const int32_t y_biased = y_scaled + zero_point; in xnn_requantize_gemmlowp__scalar()
62 const int32_t z_biased = z_scaled + zero_point; in xnn_requantize_gemmlowp__scalar()
63 const int32_t w_biased = w_scaled + zero_point; in xnn_requantize_gemmlowp__scalar()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | dequantize.h | 33 int32 zero_point = op_params.zero_point; in Dequantize() local
39 const OutputT result = static_cast<OutputT>(scale * (val - zero_point)); in Dequantize()
51 int32 zero_point = op_params.zero_point; in DequantizeInteger() local
58 static_cast<OutputT>(round(scale * (val - zero_point))); in DequantizeInteger()
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| /external/tensorflow/tensorflow/lite/g3doc/performance/ |
| D | quantization_spec.md | 41 `zero_point` per slice in the `quantized_dimension`. The quantized dimension
44 quantization params: `scale=[1.0, 2.0, 3.0]`, `zero_point=[1, 2, 3]`,
47 t[:, 0, :, :] will have scale[0]=1.0, zero_point[0]=1
48 t[:, 1, :, :] will have scale[1]=2.0, zero_point[1]=2
49 t[:, 2, :, :] will have scale[2]=3.0, zero_point[2]=3
126 restriction: Input and outputs must all have same scale/zero_point
137 restriction: Input and outputs must all have same scale/zero_point
148 restriction: zero_point = 0
153 restriction: (scale, zero_point) = (input0_scale * input1_scale[...], 0)
168 restriction: zero_point = 0
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| /external/tensorflow/tensorflow/lite/tools/optimize/ |
| D | quantization_utils_test.cc | 86 ASSERT_EQ(params.zero_point.size(), 1); in TEST_F()
90 int64_t zero_point = params.zero_point[0]; in TEST_F() local
93 EXPECT_EQ(zero_point, 0); in TEST_F()
110 ASSERT_EQ(params.zero_point.size(), 1); in TEST_F()
113 int64_t zero_point = params.zero_point[0]; in TEST_F() local
116 EXPECT_EQ(zero_point, -128); in TEST_F()
133 ASSERT_EQ(params.zero_point.size(), 1); in TEST_F()
136 int64_t zero_point = params.zero_point[0]; in TEST_F() local
139 EXPECT_EQ(zero_point, 127); in TEST_F()
154 ASSERT_EQ(params.zero_point.size(), 1); in TEST_F()
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| D | quantization_utils.cc | 74 int64_t zero_point; in GetAsymmetricQuantizationParams() local
76 zero_point = static_cast<int64_t>(quant_min); in GetAsymmetricQuantizationParams()
78 zero_point = static_cast<int64_t>(quant_max); in GetAsymmetricQuantizationParams()
80 zero_point = static_cast<int64_t>(std::round(zero_point_from_min)); in GetAsymmetricQuantizationParams()
85 quantization_params->zero_point = std::vector<int64_t>(1, zero_point); in GetAsymmetricQuantizationParams()
385 tensor->quantization->zero_point = std::vector<int64_t>(1, 0); in SymmetricQuantizeTensorFromMinMax()
423 tensor->quantization->zero_point = std::vector<int64_t>(1, 0); in SymmetricQuantizeTensor()
474 const std::vector<int64_t>& zero_point, in AddQuantizationParams() argument
484 if (zero_point.size() != scales.size()) { in AddQuantizationParams()
488 zero_point.size(), scales.size()); in AddQuantizationParams()
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| D | quantize_model_test.cc | 62 ASSERT_EQ(quantized_quant_params.zero_point.size(), 1); in VerifyAsymmetricQuantizationScale()
293 EXPECT_EQ(subgraph->tensors[input_idx]->quantization->zero_point.size(), 1); in TEST_F()
294 EXPECT_EQ(subgraph->tensors[input_idx]->quantization->zero_point[0], 0); in TEST_F()
300 EXPECT_EQ(subgraph->tensors[output_idx]->quantization->zero_point.size(), in TEST_F()
302 EXPECT_EQ(subgraph->tensors[output_idx]->quantization->zero_point[0], 0); in TEST_F()
381 EXPECT_EQ(subgraph->tensors[0]->quantization->zero_point.size(), 1); in TEST_F()
383 EXPECT_FLOAT_EQ(subgraph->tensors[0]->quantization->zero_point[0], -128); in TEST_F()
387 EXPECT_EQ(subgraph->tensors[1]->quantization->zero_point.size(), 1); in TEST_F()
389 EXPECT_FLOAT_EQ(subgraph->tensors[1]->quantization->zero_point[0], -128); in TEST_F()
393 EXPECT_EQ(subgraph->tensors[2]->quantization->zero_point.size(), 1); in TEST_F()
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| /external/tensorflow/tensorflow/lite/micro/ |
| D | test_helpers.h | 79 float scale, int zero_point,
84 int zero_point, const char* name,
88 float scale, int zero_point,
92 float scale, int zero_point,
97 int zero_point, const char* name,
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| D | micro_utils.h | 30 const int zero_point);
35 const int zero_point);
56 float scale, int zero_point = 0);
59 float scale, int zero_point = 128);
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| D | micro_utils.cc | 55 const int zero_point) { in FloatToAsymmetricQuantizedUInt8() argument
56 int32_t result = round(value / scale) + zero_point; in FloatToAsymmetricQuantizedUInt8()
78 const int zero_point) { in FloatToAsymmetricQuantizedInt8() argument
80 zero_point - kAsymmetricInt8Min) + in FloatToAsymmetricQuantizedInt8()
100 float scale, int zero_point) { in AsymmetricQuantize() argument
102 output[i] = FloatToAsymmetricQuantizedInt8(input[i], scale, zero_point); in AsymmetricQuantize()
107 float scale, int zero_point) { in AsymmetricQuantize() argument
109 output[i] = FloatToAsymmetricQuantizedUInt8(input[i], scale, zero_point); in AsymmetricQuantize()
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| /external/tensorflow/tensorflow/lite/micro/kernels/cmsis-nn/ |
| D | fully_connected.cc | 107 accum_depth, output_depth, batches, -input->params.zero_point, in EvalQuantizedInt8()
108 -filter->params.zero_point, data->output_multiplier, in EvalQuantizedInt8()
109 -data->output_shift, output->params.zero_point, in EvalQuantizedInt8()
118 op_params.input_offset = -input->params.zero_point; in EvalQuantizedInt8()
119 op_params.weights_offset = -filter->params.zero_point; in EvalQuantizedInt8()
120 op_params.output_offset = output->params.zero_point; in EvalQuantizedInt8()
141 const int32_t input_offset = -input->params.zero_point; in EvalQuantized()
142 const int32_t filter_offset = -filter->params.zero_point; in EvalQuantized()
143 const int32_t output_offset = output->params.zero_point; in EvalQuantized()
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