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Searched refs:zeropoint (Results 1 – 6 of 6) sorted by relevance

/external/tensorflow/tensorflow/lite/experimental/acceleration/mini_benchmark/
Dbuild_defs.bzl64 zeropoint = "",
75 zeropoint: the input (de)quantization zeropoint parameter for float models
87 zeropoint_arg = "--zero_point=" + zeropoint
/external/pytorch/test/fx/
Dquantization.py78 scale, zeropoint = self.scale_zeropoint()
83 {"scale": scale, "zero_point": zeropoint},
209 scale, zeropoint = self.scale_zeropoint()
211 Proxy(input), scale, zeropoint, torch.quint8
/external/tensorflow/tensorflow/compiler/mlir/tosa/transforms/
Dlegalize_common.h230 int64_t zeropoint);
237 ArrayRef<float> zeropoint,
Dlegalize_common.cc3158 int64_t zeropoint) { in convertQuantizeOp() argument
3175 getTosaConstTensorSingleF32(rewriter, op, static_cast<float>(zeropoint)); in convertQuantizeOp()
3195 ArrayRef<float> zeropoint, in convertDequantizeOp() argument
3206 if (zeropoint.size() == 1) { in convertDequantizeOp()
3208 static_cast<float>(zeropoint[0])); in convertDequantizeOp()
3212 shape[dim] = zeropoint.size(); in convertDequantizeOp()
3213 zp_val = getConstTensor(rewriter, op, zeropoint, shape); in convertDequantizeOp()
/external/tensorflow/tensorflow/lite/experimental/acceleration/mini_benchmark/metrics/
DBUILD105 zeropoint = "128",
/external/tensorflow/tensorflow/compiler/mlir/tosa/g3doc/
Dlegalization.md419 int64 zeropoint = (int64)std::round((-min) / scale + float64(qmin))
421 %quantized = lower_quantize_op(%inputs.type, %inputs, 1.0 / scale, zeropoint)
423 %dequantized = lower_dequantize_op(output_type, %quantized_op, scale, zeropoint)
458 Value lower_quantize_op(Type output_type, Value %input, float64 scale, int64 zeropoint)
461 %const_zp = tosa.CONST() {value={zeropoint}}
471 Value lower_dequantize_op(Value %input, float64 scale, int64 zeropoint)
474 %const_zp = tosa.CONST() {value={(float64)zeropoint}}