/aosp_15_r20/external/pytorch/torch/ao/quantization/backend_config/ |
H A D | onednn.py | 76 def _fuse_linear_bn_leaky_relu(is_qat, linear, bn, leaky_relu): argument 134 def _fuse_conv_add_left(is_qat, add, conv, _): argument 158 def _fuse_conv_bn_add_left(is_qat, add, bn_conv, _): argument 220 def _fuse_conv_add_right(is_qat, add, _, conv): argument 244 def _fuse_conv_bn_add_right(is_qat, add, _, bn_conv): argument 318 def _fuse_conv_add_relu_left(is_qat, relu, add_pattern): argument 347 def _fuse_conv_bn_add_relu_left(is_qat, relu, add_pattern): argument 414 def _fuse_conv_add_relu_right(is_qat, relu, add_pattern): argument 443 def _fuse_conv_bn_add_relu_right(is_qat, relu, add_pattern): argument
|
/aosp_15_r20/external/executorch/backends/mediatek/quantizer/ |
H A D | qconfig.py | 67 is_qat, argument 94 dtype, is_symmetric, is_per_channel, is_qat, quant_min=None, quant_max=None argument 125 def get_a16w16_quant_config(is_per_channel, is_qat) -> QuantizationConfig: argument 134 def get_a16w8_quant_config(is_per_channel, is_qat) -> QuantizationConfig: argument 143 def get_a16w4_quant_config(is_per_channel, is_qat) -> QuantizationConfig: argument 154 def get_a8w8_quant_config(is_per_channel, is_qat) -> QuantizationConfig: argument 163 def get_a8w4_quant_config(is_per_channel, is_qat) -> QuantizationConfig: argument
|
/aosp_15_r20/external/pytorch/torch/ao/quantization/ |
H A D | fuser_method_mappings.py | 20 def fuse_conv_bn(is_qat, conv, bn): argument 64 def fuse_conv_bn_relu(is_qat, conv, bn, relu): argument 119 def fuse_linear_bn(is_qat, linear, bn): argument 153 def fuse_convtranspose_bn(is_qat, convt, bn): argument 188 def fuser_method(is_qat, m1, m2): argument 231 def reversed(is_qat, x, y): argument 238 def reversed(is_qat, x, w): argument
|
H A D | fuse_modules.py | 43 def fuse_known_modules(mod_list, is_qat, additional_fuser_method_mapping=None): argument 86 is_qat, argument 110 is_qat, argument
|
/aosp_15_r20/external/pytorch/test/quantization/pt2e/ |
H A D | test_x86inductor_quantizer.py | 546 is_qat=False, argument 1218 is_qat=False, argument 1359 def _test_linear_binary_helper(self, is_qat=False, is_dynamic=False): argument 1532 def _test_linear_binary_unary_helper(self, is_qat=False, is_dynamic=False): argument
|
/aosp_15_r20/external/pytorch/test/inductor/ |
H A D | test_mkldnn_pattern_matcher.py | 76 def get_default_quantizer(is_qat, is_dynamic): argument 133 self, mod, inputs, is_qat=False, is_dynamic=False, quantizer=None argument 164 is_qat=False, argument 1440 is_qat=False, argument
|
/aosp_15_r20/external/pytorch/test/quantization/eager/ |
H A D | test_fuse_eager.py | 372 def custom_fuse_func(module, is_qat, add_fuser_mapping): argument
|
/aosp_15_r20/external/executorch/backends/qualcomm/quantizer/ |
H A D | quantizer.py | 170 self, quant_dtype: QuantDtype, is_qat=False, act_observer=None argument
|
/aosp_15_r20/external/executorch/examples/qualcomm/ |
H A D | utils.py | 232 is_qat=False, argument
|
/aosp_15_r20/external/pytorch/torch/ao/quantization/quantizer/ |
H A D | xnnpack_quantizer_utils.py | 57 is_qat: bool = False variable in QuantizationConfig
|
/aosp_15_r20/external/pytorch/torch/testing/_internal/ |
H A D | common_quantization.py | 1248 is_qat=False, argument 2942 mod, inputs, is_qat=False, is_dynamic=False, quantizer=None argument 2945 def get_default_quantizer(is_qat, is_dynamic): argument
|
/aosp_15_r20/external/pytorch/torch/ao/quantization/fx/ |
H A D | prepare.py | 369 is_qat, argument
|
/aosp_15_r20/external/pytorch/test/quantization/fx/ |
H A D | test_quantize_fx.py | 746 def fuse_conv_bn_relu(is_qat, relu, add_pattern): argument 793 def fuse_conv_bn_relu(is_qat, relu, add_pattern): argument 862 def fuse_conv_relu(is_qat, conv, relu): argument 865 def fuse_conv_res_relu(is_qat, relu, add_pattern): argument
|