Home
last modified time | relevance | path

Searched full:quantize_per_tensor_dynamic (Results 1 – 15 of 15) sorted by relevance

/aosp_15_r20/external/pytorch/torch/ao/quantization/fx/
H A D_lower_to_native_backend.py774 Traverse the graph and find quantize_per_tensor_dynamic - dequantize - ref_module patterns
792 or input_dynamic_q_node.target != torch.quantize_per_tensor_dynamic
952 quantize_per_tensor_dynamic - dequantize - functional linear --> linear_dynamic
961 # (quantize_per_tensor_dynamic - dequantize - dynamically quantized op)
998 or input_dynamic_q_node.target != torch.quantize_per_tensor_dynamic
H A DREADME.md382 …se from right now are: (quantize_per_tensor, quantize_per_channel, to, quantize_per_tensor_dynamic)
431 quantize_per_tensor_dynamic -> dequantize -> float_op
H A Dconvert.py453 quantize_op = torch.quantize_per_tensor_dynamic
/aosp_15_r20/external/pytorch/test/expect/
H A DHasDecompTest.test_has_decomposition.expect1042 aten::quantize_per_tensor_dynamic
1043 aten::quantize_per_tensor_dynamic.out
/aosp_15_r20/external/pytorch/aten/src/ATen/native/quantized/
H A DQTensor.cpp16 Tensor quantize_per_tensor_dynamic( in quantize_per_tensor_dynamic() function
/aosp_15_r20/external/pytorch/test/mobile/model_test/
H A Dmodel_ops.yaml288 aten::quantize_per_tensor_dynamic: 2
/aosp_15_r20/external/pytorch/torchgen/static_runtime/
H A Dgenerator.py140 "quantize_per_tensor_dynamic",
/aosp_15_r20/external/pytorch/test/quantization/core/
H A Dtest_quantized_module.py1319 qx = torch.quantize_per_tensor_dynamic(x, dtype=torch.quint8, reduce_range=False)
H A Dtest_quantized_tensor.py220 q_d = torch.quantize_per_tensor_dynamic(mat2quant, dtype, reduce_flag)
/aosp_15_r20/external/pytorch/docs/source/
H A Dquantization.rst632 * torch.quantize_per_tensor_dynamic(x, dtype, reduce_range)
/aosp_15_r20/external/pytorch/torch/_dynamo/
H A Dtrace_rules.py2048 "torch.quantize_per_tensor_dynamic",
/aosp_15_r20/external/pytorch/torch/
H A Doverrides.py1034 torch.quantize_per_tensor_dynamic: lambda input, dtype, reduce_range: -1,
H A D_torch_docs.py13009 torch.quantize_per_tensor_dynamic,
13011 quantize_per_tensor_dynamic(input, dtype, reduce_range) -> Tensor
13028 …>>> t = torch.quantize_per_tensor_dynamic(torch.tensor([-1.0, 0.0, 1.0, 2.0]), torch.quint8, False)
/aosp_15_r20/external/pytorch/aten/src/ATen/native/
H A Dnative_functions.yaml7478 - func: quantize_per_tensor_dynamic(Tensor self, ScalarType dtype, bool reduce_range) -> Tensor
7481 CPU, CUDA: quantize_per_tensor_dynamic
7482 autogen: quantize_per_tensor_dynamic.out
/aosp_15_r20/external/pytorch/test/quantization/fx/
H A Dtest_quantize_fx.py6816 # we will have an extra quantize_per_tensor_dynamic + dequantize for