/external/XNNPACK/test/ |
D | qs8-requantization.cc | 36 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 52 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 68 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 84 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 130 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 146 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 162 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 178 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 224 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 240 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local [all …]
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D | qu8-requantization.cc | 36 for (int32_t zero_point = 1; zero_point < 256; zero_point++) { in TEST() local 49 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 62 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 75 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 119 for (int32_t zero_point = 1; zero_point < 256; zero_point++) { in TEST() local 132 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 145 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 158 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local 202 for (int32_t zero_point = 1; zero_point < 256; zero_point++) { in TEST() local 215 for (int32_t zero_point = 0; zero_point < 256; zero_point++) { in TEST() local [all …]
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D | qu8-avgpool-minmax.cc | 71 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 95 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 218 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 246 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 380 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 408 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 542 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 570 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 704 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local 732 for (int32_t zero_point = 0; zero_point <= 255; zero_point += 51) { in TEST() local [all …]
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D | static-reshape.cc | 28 const int32_t zero_point = i8dist(rng); in TEST_F() local 66 const int32_t zero_point = u8dist(rng); in TEST_F() local 138 const int32_t zero_point = i8dist(rng); in TEST_F() local 201 const int32_t zero_point = u8dist(rng); in TEST_F() local
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D | requantization-tester.h | 42 inline RequantizationTester& zero_point(int32_t zero_point) { in zero_point() argument 47 inline int32_t zero_point() const { in zero_point() function 452 for (int32_t zero_point = 0; zero_point <= std::numeric_limits<uint8_t>::max(); zero_point++) { in TestSpecialCases() local 491 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TestSpecialCases() local 748 uint8_t zero_point, in RequantizeApproximate() 761 int8_t zero_point, in RequantizeApproximate()
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/external/pytorch/aten/src/ATen/native/quantized/ |
D | AffineQuantizerBase.cpp | 18 void checkZeroPoint(const std::string& fn_name, int64_t zero_point) { in checkZeroPoint() 38 T quantize_val(double scale, int64_t zero_point, float value) { in quantize_val() 59 int64_t zero_point, in quantize_vec() 77 const int32_t zero_point, in quantize_val_arm() 99 inline float dequantize_val(double scale, int64_t zero_point, T value) { in dequantize_val() 123 T quantize_val(double scale, int64_t zero_point, float value) { in quantize_val() 144 const int32_t zero_point, in quantize_val_arm() 168 int64_t zero_point, in quantize_vec() 187 TORCH_API float dequantize_val(double scale, int64_t zero_point, T value) { in dequantize_val() 200 int quantize_val_float_qparams(float scale, float zero_point, float value, int qmin, int qmax) { in quantize_val_float_qparams() [all …]
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D | FakeQuantPerTensorAffine.cpp | 34 int64_t zero_point, in fake_quantize_per_tensor_affine() 45 const Tensor& zero_point, in fake_quantize_per_tensor_affine() 72 int64_t zero_point, in fake_quantize_per_tensor_affine_cachemask() 95 const Tensor& zero_point, in _fake_quantize_per_tensor_affine_cachemask_tensor_qparams() 137 const Tensor& zero_point, in _get_zero_point_from_tensor() 151 const Tensor& zero_point, in _fake_quantize_learnable_per_tensor_affine() 165 const Tensor& zero_point, in _fake_quantize_learnable_per_tensor_affine_backward()
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D | FakeQuantPerChannelAffine.cpp | 35 const Tensor& zero_point, in fake_quantize_per_channel_affine() 47 const Tensor& zero_point, in fake_quantize_per_channel_affine_cachemask() 134 const Tensor& zero_point, in _get_rounded_zero_point() 144 const Tensor& zero_point, in _fake_quantize_learnable_per_channel_affine() 158 const Tensor& zero_point, in _fake_quantize_learnable_per_channel_affine_backward()
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/external/XNNPACK/eval/ |
D | f32-qs8-cvt.cc | 34 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 66 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 98 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 126 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 156 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 188 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 220 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 248 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 276 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local 306 for (int32_t zero_point = std::numeric_limits<int8_t>::min(); in TEST() local [all …]
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D | f32-qu8-cvt.cc | 34 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 66 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 98 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 126 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 156 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 188 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 220 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 248 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 276 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local 306 for (int32_t zero_point = std::numeric_limits<uint8_t>::min(); in TEST() local [all …]
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/external/XNNPACK/src/xnnpack/ |
D | requantization.h | 38 int8_t zero_point, in xnn_qs8_requantize_fp32() 59 uint8_t zero_point, in xnn_qu8_requantize_fp32() 80 int8_t zero_point, in xnn_qs8_requantize_rndna() 118 uint8_t zero_point, in xnn_qu8_requantize_rndna() 156 int8_t zero_point, in xnn_qs8_requantize_rndnu() 183 uint8_t zero_point, in xnn_qu8_requantize_rndnu() 239 inline static int8_t xnn_qs8_quantize(float val, float scale, int32_t zero_point) in xnn_qs8_quantize() 244 inline static uint8_t xnn_qu8_quantize(float val, float scale, int32_t zero_point) in xnn_qu8_quantize()
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/external/pytorch/torch/distributed/algorithms/ddp_comm_hooks/ |
D | quantization_hooks.py | 7 def _quantize_per_tensor_cuda(x, scale, zero_point): argument 13 def _dequantize_per_tensor_cuda(y, scale, zero_point): argument 18 def _quantize_per_channel_cuda(x, scale, zero_point): argument 26 def _dequantize_per_channel_cuda(y, scale, zero_point): argument
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/external/executorch/backends/cadence/reference/kernels/ |
D | kernels.cpp | 22 T quantize(const float x, float scale, int32_t zero_point) { in quantize() 35 int32_t zero_point, in quantize() 44 float dequantize(const T x, float scale, int32_t zero_point) { in dequantize() 54 int32_t zero_point, in dequantize()
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/external/pytorch/aten/src/ATen/native/vulkan/ops/ |
D | QuantizedTensor.cpp | 34 const int64_t zero_point, in quantize_per_tensor() 56 int32_t zero_point; in quantize_per_tensor() member 96 const at::Tensor& zero_point, in quantize_per_tensor_tensor_qparams() 109 const int64_t zero_point, in dequantize_helper() 129 int32_t zero_point; in dequantize_helper() member 179 int64_t zero_point = convert(self).get_zero_point(); in dequantize() local
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/external/executorch/kernels/quantized/cpu/ |
D | op_quantize.cpp | 93 int64_t zero_point, in quantize_val() 111 int64_t zero_point, in quantize_per_tensor_out() 168 const Tensor& zero_point, in quantize_per_tensor_tensor_args_out() 212 const Tensor& zero_point, in quantize_per_tensor_tensor_args_out() 228 int64_t zero_point, in quantize_per_tensor_out() 243 const Tensor& zero_point, in quantize_per_channel_out() 365 const Tensor& zero_point, in quantize_per_channel_out() 384 const Tensor& zero_point, in quantize_per_token_out() 433 const Tensor& zero_point, in quantize_per_token_out()
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/external/pytorch/torch/ao/nn/quantized/modules/ |
D | normalization.py | 29 zero_point, argument 76 def from_reference(cls, mod, scale, zero_point): argument 105 zero_point, argument 163 zero_point, argument 203 def from_reference(cls, mod, scale, zero_point): argument 230 zero_point, argument 270 def from_reference(cls, mod, scale, zero_point): argument 297 zero_point, argument 337 def from_reference(cls, mod, scale, zero_point): argument
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D | activation.py | 67 def __init__(self, scale, zero_point, device=None, dtype=None): argument 85 def from_reference(cls, mod, scale, zero_point): argument 98 def __init__(self, scale, zero_point, alpha=1.0): argument 117 def from_reference(cls, mod, scale, zero_point): argument 158 def from_reference(cls, mod, scale, zero_point): argument 198 def __init__(self, dim=None, scale=1.0, zero_point=0): argument 224 def from_reference(cls, mod, scale, zero_point): argument 329 def from_reference(cls, mod, scale, zero_point): argument
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/external/executorch/backends/xnnpack/runtime/utils/ |
D | utils.h | 29 int32_t zero_point; member 58 T quantize_val(double scale, int64_t zero_point, float value) { in quantize_val() 89 const int32_t zero_point) { in quantize_tensor_arm64_q8() 133 int zero_point) { in QuantizePerTensor()
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/external/executorch/kernels/quantized/test/ |
D | quantized_ops_aot_register.cpp | 34 const Tensor& zero_point, in quantize_per_token_out_no_context() 49 const at::Tensor& zero_point, in quantize_per_token_aten() 75 const Tensor& zero_point, in dequantize_per_token_out_no_context() 99 const at::Tensor& zero_point, in dequantize_per_token_aten()
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D | op_dequantize_test.cpp | 39 int64_t zero_point = 30; in test_dtype() local 76 int64_t zero_point = 30; in TEST() local 105 Tensor zero_point = tf_long.make({1}, {30}); in TEST() local 134 Tensor zero_point = tf_long.make({2}, {30, 60}); in TEST() local
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D | op_quantize_test.cpp | 38 int64_t zero_point = 108; in test_dtype() local 68 Tensor zero_point = tf_long.make({1}, {127}); in TEST() local 100 Tensor zero_point = tf_long.make({1}, {0}); in TEST() local 130 Tensor zero_point = tf_long.make({2}, {127, 63}); in TEST() local
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/external/pytorch/torch/onnx/ |
D | symbolic_caffe2.py | 71 def linear(g: jit_utils.GraphContext, input, weight, bias, scale, zero_point): argument 103 zero_point, argument 132 zero_point, argument 151 def add(g: jit_utils.GraphContext, input_a, input_b, scale, zero_point): argument 175 def quantize_per_tensor(g: jit_utils.GraphContext, input, scale, zero_point, dtype): argument 196 zero_point, argument 331 def cat(g: jit_utils.GraphContext, tensor_list, dim, scale=None, zero_point=None): argument
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/external/libtextclassifier/native/tensorflow_models/seq_flow_lite/tflite_ops/ |
D | quantization_util.h | 43 const int32_t zero_point = tensor.params.zero_point; in PodDequantizeValue() local 56 inline uint8_t PodQuantize(float value, int32_t zero_point, in PodQuantize()
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/external/pytorch/benchmarks/operator_benchmark/pt/ |
D | quantization_test.py | 181 input, scale, zero_point, quant_min: int, quant_max: int argument 189 input, scale, zero_point, quant_min: int, quant_max: int argument 265 def forward(self, input, scale, zero_point, quant_min: int, quant_max: int): argument 283 input, scale, zero_point, axis: int, quant_min: int, quant_max: int argument 291 input, scale, zero_point, axis: int, quant_min: int, quant_max: int argument 362 self, input, scale, zero_point, axis: int, quant_min: int, quant_max: int argument
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/external/pytorch/aten/src/ATen/native/quantized/cuda/ |
D | FakeQuantizeCore.cu | 27 int64_t zero_point, in fake_quantize_tensor_cachemask_kernel_cuda() 59 const Tensor& zero_point, in fake_quantize_tensor_cachemask_tensor_qparams_kernel_cuda() 96 int64_t zero_point, in _fake_quantize_grad_learnable_tensor_kernel_cuda()
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