| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/qnn/op/ |
| H A D | qnn.py | 31 output_zero_point, argument
89 def quantize(data, output_scale, output_zero_point, axis=-1, out_dtype="int8"): argument
144 def concatenate(data, input_scales, input_zero_points, output_scale, output_zero_point, axis): argument
298 lhs, rhs, lhs_scale, lhs_zero_point, rhs_scale, rhs_zero_point, output_scale, output_zero_point argument
404 lhs, rhs, lhs_scale, lhs_zero_point, rhs_scale, rhs_zero_point, output_scale, output_zero_point argument
453 lhs, rhs, lhs_scale, lhs_zero_point, rhs_scale, rhs_zero_point, output_scale, output_zero_point argument
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| /dports/misc/tvm/incubator-tvm-0.6.1/python/tvm/relay/qnn/op/ |
| H A D | qnn.py | 29 output_zero_point, argument
81 output_zero_point, argument
144 output_zero_point, argument
288 output_zero_point): argument
383 output_scale, output_zero_point): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/python/tvm/relay/qnn/op/ |
| H A D | qnn.py | 29 output_zero_point, argument
81 output_zero_point, argument
144 output_zero_point, argument
288 output_zero_point): argument
383 output_scale, output_zero_point): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/src/relay/qnn/op/ |
| H A D | quantize.cc | 73 Expr MakeQuantize(Expr data, Expr output_scale, Expr output_zero_point, int axis, in MakeQuantize()
86 const Expr& output_zero_point, const Array<IndexExpr>& input_shape, in QuantizeLower()
119 auto& output_zero_point = new_args[2]; in QuantizeQnnCanonicalize() local
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| H A D | requantize.cc | 134 const Expr& output_zero_point, const RequantizeAttrs* param, in RequantizeLower()
222 auto& output_zero_point = new_args[4]; in RequantizeQnnCanonicalize() local
298 Expr output_zero_point, int axis, String rounding, DataType out_dtype) { in MakeRequantize()
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| H A D | concatenate.cc | 111 Expr output_zero_point, int axis) { in MakeQnnConcatenate()
134 auto& output_zero_point = new_args[4]; in ConcatenateQnnCanonicalize() local
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| /dports/misc/tvm/incubator-tvm-0.6.1/include/tvm/relay/qnn/ |
| H A D | attrs.h | 39 int32_t output_zero_point; member
70 int32_t output_zero_point; member
102 int32_t output_zero_point; member
197 int32_t output_zero_point; member
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/include/tvm/relay/qnn/ |
| H A D | attrs.h | 39 int32_t output_zero_point; member
70 int32_t output_zero_point; member
102 int32_t output_zero_point; member
197 int32_t output_zero_point; member
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/src/relay/qnn/op/ |
| H A D | concatenate.cc | 41 int32_t output_zero_point, int axis) { in MakeQnnConcatenate()
69 auto output_zero_point = concatenate_attrs->output_zero_point; in ConcatenateQnnCanonicalize() local
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| H A D | quantize.cc | 59 int32_t output_zero_point, in MakeQuantize()
74 const auto output_zero_point = MakeConstantScalar(Float(32), attrs->output_zero_point); in QuantizeLower() local
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| H A D | mul.cc | 55 auto output_zero_point = binary_op_attrs->output_zero_point; in QnnMulCanonicalize() local
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| H A D | add.cc | 55 auto output_zero_point = binary_op_attrs->output_zero_point; in QnnAddCanonicalize() local
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| H A D | requantize.cc | 162 int32_t output_zero_point, std::string rounding, DataType out_dtype) { in MakeRequantize()
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| /dports/misc/tvm/incubator-tvm-0.6.1/src/relay/qnn/op/ |
| H A D | concatenate.cc | 41 int32_t output_zero_point, int axis) { in MakeQnnConcatenate()
69 auto output_zero_point = concatenate_attrs->output_zero_point; in ConcatenateQnnCanonicalize() local
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| H A D | quantize.cc | 59 int32_t output_zero_point, in MakeQuantize()
74 const auto output_zero_point = MakeConstantScalar(Float(32), attrs->output_zero_point); in QuantizeLower() local
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| H A D | add.cc | 55 auto output_zero_point = binary_op_attrs->output_zero_point; in QnnAddCanonicalize() local
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| H A D | mul.cc | 55 auto output_zero_point = binary_op_attrs->output_zero_point; in QnnMulCanonicalize() local
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| H A D | requantize.cc | 162 int32_t output_zero_point, std::string rounding, DataType out_dtype) { in MakeRequantize()
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/frontend/ |
| H A D | qnn_torch.py | 413 output, bias, input_scale, weight_scale, output_scale, output_zero_point, with_relu argument
566 output_zero_point, argument
593 output_zero_point, argument
656 def torch_impl(inputs, input_scales, input_zero_points, output_scale, output_zero_point, axis): argument
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| /dports/misc/tvm/incubator-tvm-0.6.1/tests/python/relay/ |
| H A D | test_op_qnn_requantize.py | 37 input_zero_point=0, output_zero_point=0, rounding="TONEAREST"): argument
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| H A D | test_op_qnn_dense.py | 33 def make_requantize_params(input_scale, output_scale, output_zero_point, out_dtype): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/relay/ |
| H A D | test_op_qnn_requantize.py | 37 input_zero_point=0, output_zero_point=0, rounding="TONEAREST"): argument
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| H A D | test_op_qnn_dense.py | 33 def make_requantize_params(input_scale, output_scale, output_zero_point, out_dtype): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/relay/ |
| H A D | test_op_qnn_requantize.py | 46 output_zero_point=0, argument
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| H A D | test_op_qnn_dense.py | 34 def make_requantize_params(input_scale, output_scale, output_zero_point, out_dtype): argument
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