clear extra attrs of quantize op in opmaker (#46418)

paddle/fluid/operators/fake_quantize_op.cc

@@ -432,24 +432,6 @@ class FakeQuantOrWithDequantAbsMaxOpMaker
                                 "the received is %d",
                                 bit_length));
         });
-    AddAttr<int>(
-        "round_type",
-        "(int, default 1) The round type of fp32 to int."
-        "0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
-        "1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
-        "round(2.5)=3")
-        .SetDefault(1)
-        .AddCustomChecker([](const int &round_type) {
-          PADDLE_ENFORCE_EQ(
-              round_type == 0 || round_type == 1,
-              true,
-              platform::errors::InvalidArgument(
-                  "'round_type' should be 0 or 1, 0 rounding to "
-                  "nearest ties to even and 1 is rounding to nearest "
-                  "ties away from zero.but the received is %d",
-                  round_type));
-        })
-        .AsExtra();
     AddComment(R"DOC(
 This is a Base Op which supports FakeQuantAbsMaxOpMaker and FakeQuantDequantAbsMaxOpMaker.
 FakeQuantAbsMaxOp operator is used in the dynamic quantization.
@@ -529,24 +511,6 @@ class FakeChannelWiseQuantizeAbsMaxOpMaker
                                 "the received is %d",
                                 bit_length));
         });
-    AddAttr<int>(
-        "round_type",
-        "(int, default 1) The round type of fp32 to int."
-        "0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
-        "1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
-        "round(2.5)=3")
-        .SetDefault(1)
-        .AddCustomChecker([](const int &round_type) {
-          PADDLE_ENFORCE_EQ(
-              round_type == 0 || round_type == 1,
-              true,
-              platform::errors::InvalidArgument(
-                  "'round_type' should be 0 or 1, 0 rounding to "
-                  "nearest ties to even and 1 is rounding to nearest "
-                  "ties away from zero.but the received is %d",
-                  round_type));
-        })
-        .AsExtra();
     AddAttr<bool>("is_test",
                   "(bool, default false) Set to true for inference only, false "
                   "for training. Some layers may run faster when this is true.")
@@ -628,24 +592,6 @@ class FakeChannelWiseQuantizeDequantizeAbsMaxOpMaker
                                 "the received is %d",
                                 bit_length));
         });
-    AddAttr<int>(
-        "round_type",
-        "(int, default 1) The round type of fp32 to int."
-        "0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
-        "1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
-        "round(2.5)=3")
-        .SetDefault(1)
-        .AddCustomChecker([](const int &round_type) {
-          PADDLE_ENFORCE_EQ(
-              round_type == 0 || round_type == 1,
-              true,
-              platform::errors::InvalidArgument(
-                  "'round_type' should be 0 or 1, 0 rounding to "
-                  "nearest ties to even and 1 is rounding to nearest "
-                  "ties away from zero.but the received is %d",
-                  round_type));
-        })
-        .AsExtra();
     AddComment(R"DOC(
 The scale of FakeChannelWiseQuantize operator is a vector.
 In detail, each channel of the input X has a scale value.
@@ -715,24 +661,6 @@ class FakeQuantizeRangeAbsMaxOpMaker
                                 "the received is %d",
                                 bit_length));
         });
-    AddAttr<int>(
-        "round_type",
-        "(int, default 1) The round type of fp32 to int."
-        "0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
-        "1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
-        "round(2.5)=3")
-        .SetDefault(1)
-        .AddCustomChecker([](const int &round_type) {
-          PADDLE_ENFORCE_EQ(
-              round_type == 0 || round_type == 1,
-              true,
-              platform::errors::InvalidArgument(
-                  "'round_type' should be 0 or 1, 0 rounding to "
-                  "nearest ties to even and 1 is rounding to nearest "
-                  "ties away from zero.but the received is %d",
-                  round_type));
-        })
-        .AsExtra();
     AddAttr<bool>("is_test",
                   "(bool, default false) Set to true for inference only, false "
                   "for training. Some layers may run faster when this is true.")
@@ -815,24 +743,6 @@ class FakeQuantOrWithDequantMovingAverageAbsMaxOpMaker
                                 "the received is %d",
                                 bit_length));
         });
-    AddAttr<int>(
-        "round_type",
-        "(int, default 1) The round type of fp32 to int."
-        "0: rounding to nearest ties to even. Eg: round(1.5)=2, round(2.5)=2"
-        "1: rounding to nearest ties away from zero. Eg: round(1.5)=2, "
-        "round(2.5)=3")
-        .SetDefault(1)
-        .AddCustomChecker([](const int &round_type) {
-          PADDLE_ENFORCE_EQ(
-              round_type == 0 || round_type == 1,
-              true,
-              platform::errors::InvalidArgument(
-                  "'round_type' should be 0 or 1, 0 rounding to "
-                  "nearest ties to even and 1 is rounding to nearest "
-                  "ties away from zero.but the received is %d",
-                  round_type));
-        })
-        .AsExtra();
     AddAttr<bool>("is_test",
                   "(bool, default false) Set to true for inference only, false "
                   "for training. Some layers may run faster when this is true.")

paddle/fluid/operators/quantize_linear_op.cc

@@ -134,10 +134,6 @@ class QuantizeLinearOpMaker : public framework::OpProtoAndCheckerMaker {
     AddOutput("OutScale", "(Tensor) Current scale")
         .AsDispensable()
         .AsExtra();  // only qat use
-    AddAttr<float>("moving_rate",
-                   "(float, default 0.9) moving rate.")  // only qat use
-        .SetDefault(0.9)
-        .AsExtra();
     AddAttr<int>("quant_axis",
                  "(int, default 0) The axis for quantization. "
                  "For conv2d, depthwise_conv2d, conv2d_transpose "

paddle/phi/api/yaml/op_compat.yaml

@@ -179,6 +179,10 @@
              str fuse_activation = "", float fuse_alpha = 0.0f, float fuse_beta = 0.0f,
              int workspace_size_MB = platform::GetDefaultConvWorkspaceSizeLimitMB()]
 
+- op : dequantize_linear
+  extra :
+    attrs : [float moving_rate = 0.9]
+
 - op : diag (diag_v2)
   backward : diag_grad (diag_v2_grad)
   inputs :
@@ -271,6 +275,34 @@
   extra :
     attrs : [bool use_mkldnn = false, bool use_cudnn = false]
 
+- op : fake_channel_wise_quantize_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_channel_wise_quantize_dequantize_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_quantize_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_quantize_dequantize_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_quantize_dequantize_moving_average_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_quantize_moving_average_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
+- op : fake_quantize_range_abs_max
+  extra :
+    attrs : [int round_type = 1]
+
 - op : fft_c2c
   inputs: {x: X}
   outputs: {out: Out}
@@ -495,6 +527,10 @@
   extra :
     attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32", bool is_test = false]
 
+- op : quantize_linear
+  extra :
+    attrs : [float moving_rate = 0.9]
+
 - op : reciprocal
   backward : reciprocal_grad
   extra :