Searched refs:zero_point_from_min (Results 1 – 8 of 8) sorted by relevance
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | fake_quantize_ops.cc | 33 const float zero_point_from_min = quant_min - min / *scale; in CpuNudge() local
35 if (zero_point_from_min <= quant_min) { in CpuNudge()
37 } else if (zero_point_from_min >= quant_max) { in CpuNudge()
40 nudged_zero_point = std::round(zero_point_from_min); in CpuNudge()
58 xla::XlaOp zero_point_from_min = xla::Sub(quant_min, xla::Div(min, *scale)); in XlaNudge() local
62 xla::Select(xla::Le(zero_point_from_min, quant_min), quant_min, in XlaNudge()
63 xla::Select(xla::Ge(zero_point_from_min, quant_max), in XlaNudge()
64 quant_max, xla::Round(zero_point_from_min))); in XlaNudge()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | fake_quant_ops_functor.h | 47 const float zero_point_from_min = quant_min_float - min / *scale; in Nudge() local
48 const uint16 nudged_zero_point = [zero_point_from_min, quant_min, in Nudge()
51 if (zero_point_from_min < quant_min_float) { in Nudge()
54 if (zero_point_from_min > quant_max_float) { in Nudge()
57 return static_cast<uint16>(StdRound(zero_point_from_min)); in Nudge()
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | quantization_util.cc | 344 const float zero_point_from_min = quant_min_float - min / *nudged_scale; in NudgeQuantizationRange() local
346 if (zero_point_from_min < quant_min_float) { in NudgeQuantizationRange()
348 } else if (zero_point_from_min > quant_max_float) { in NudgeQuantizationRange()
351 nudged_zero_point = static_cast<uint16_t>(TfLiteRound(zero_point_from_min)); in NudgeQuantizationRange()
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| D | quantization_util.h | 64 const double zero_point_from_min = qmin_double - rmin / scale; in ChooseQuantizationParams() local
73 ? zero_point_from_min in ChooseQuantizationParams()
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| /external/tensorflow/tensorflow/lite/tools/optimize/ |
| D | quantization_utils.cc | 71 float zero_point_from_min = quant_min_float; in GetAsymmetricQuantizationParams() local
73 zero_point_from_min = quant_min_float - min / scale; in GetAsymmetricQuantizationParams()
76 if (zero_point_from_min < quant_min_float) { in GetAsymmetricQuantizationParams()
78 } else if (zero_point_from_min > quant_max_float) { in GetAsymmetricQuantizationParams()
81 zero_point = static_cast<int64_t>(std::round(zero_point_from_min)); in GetAsymmetricQuantizationParams()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | portable_tensor_utils.cc | 89 const double zero_point_from_min = qmin_double - rmin / scale; in PortableAsymmetricQuantizeFloats() local
97 ? zero_point_from_min in PortableAsymmetricQuantizeFloats()
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | test_util.h | 727 const float zero_point_from_min = qmin_double - f_min / scale; in QuantizationParams() local
738 ? zero_point_from_min in QuantizationParams()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | neon_tensor_utils.cc | 2375 const double zero_point_from_min = qmin_double - rmin / scale; in NeonAsymmetricQuantizeFloats() local
2383 ? zero_point_from_min in NeonAsymmetricQuantizeFloats()
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