update

Signed-off-by: isdanni <leedanni@gmail.com>
onnx · May 7, 2024 · a29a276 · a29a276
1 parent 34821ae
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diff --git a/docs/Changelog.md b/docs/Changelog.md
diff --git a/docs/Operators.md b/docs/Operators.md
diff --git a/docs/TestCoverage.md b/docs/TestCoverage.md
@@ -6,7 +6,7 @@
 * [Overall Test Coverage](#overall-test-coverage)
 # Node Test Coverage
 ## Summary
-Node tests have covered 180/193 (93.26%, 5 generators excluded) common operators.
+Node tests have covered 179/192 (93.23%, 5 generators excluded) common operators.
 
 Node tests have covered 0/0 (N/A) experimental operators.
 
@@ -3773,7 +3773,7 @@ There are 1 test cases, listed as following:
 <summary>concat</summary>
 
 ```python
-test_cases: dict[str, Sequence[Any]] = {
+test_cases: Dict[str, Sequence[Any]] = {
     "1d": ([1, 2], [3, 4]),
     "2d": ([[1, 2], [3, 4]], [[5, 6], [7, 8]]),
     "3d": (
@@ -5449,7 +5449,7 @@ node = onnx.helper.make_node(
 # scalar zero point and scale
 x = make_tensor("x", TensorProto.INT4, [5], [0, 1, 7, -4, -8])
 x_scale = np.float32(2)
-x_zero_point = make_tensor("x_zero_point", TensorProto.INT4, (1,), [1])
+x_zero_point = make_tensor("zero_point", TensorProto.INT4, (1,), [1])
 y = np.array([-2, 0, 12, -10, -18], dtype=np.float32)
 
 expect(
@@ -5499,7 +5499,7 @@ node = onnx.helper.make_node(
 # scalar zero point and scale
 x = make_tensor("x", TensorProto.UINT4, [5], [0, 1, 7, 10, 15])
 x_scale = np.float32(2)
-x_zero_point = make_tensor("x_zero_point", TensorProto.UINT4, (1,), [1])
+x_zero_point = make_tensor("zero_point", TensorProto.UINT4, (1,), [1])
 y = np.array([-2, 0, 12, 18, 28], dtype=np.float32)
 
 expect(
@@ -9665,7 +9665,7 @@ node = onnx.helper.make_node(
 )
 
 trip_count = np.array(5).astype(np.int64)
-seq_empty: list[Any] = []
+seq_empty: List[Any] = []
 seq_res = [x[: int(i)] for i in x]
 cond = np.array(1).astype(bool)
 expect(
@@ -9860,7 +9860,7 @@ node = onnx.helper.make_node(
 trip_count = np.array(5).astype(np.int64)
 cond = np.array(1).astype(bool)
 seq_res = compute_loop_outputs(x, [x0], trip_count)
-opt_seq_in: list[Any] = [x0]
+opt_seq_in: List[Any] = [x0]
 expect(
     node,
     inputs=[trip_count, cond, opt_seq_in],
@@ -13955,7 +13955,7 @@ node = onnx.helper.make_node(
 
 x = np.array([0.0, 1.0, 2.0, 100000.0, 200.0]).astype(np.float32)
 y_scale = np.float32(2)
-y_zero_point = make_tensor("y_zero_point", TensorProto.FLOAT8E4M3FN, [1], [0])
+y_zero_point = make_tensor("zero_point", TensorProto.FLOAT8E4M3FN, [1], [0])
 y = make_tensor("y", TensorProto.FLOAT8E4M3FN, [5], [0, 0.5, 1, 448, 96])
 
 expect(
@@ -13979,7 +13979,7 @@ node = onnx.helper.make_node(
 
 x = np.array([0.0, 1.0, 2.0, 100000.0, 200.0]).astype(np.float32)
 y_scale = np.float32(2)
-y_zero_point = make_tensor("y_zero_point", TensorProto.FLOAT8E5M2, [1], [0.0])
+y_zero_point = make_tensor("zero_point", TensorProto.FLOAT8E5M2, [1], [0.0])
 y = make_tensor("y", TensorProto.FLOAT8E5M2, [5], [0, 0.5, 1, 49152, 96])
 
 expect(
@@ -14074,7 +14074,7 @@ x = np.array(
 
 y_scale = np.asarray([2.0, 3.0, 4.0], dtype=np.float32)
 y_zero_point = make_tensor(
-    "y_zero_point", TensorProto.INT4, y_scale.shape, np.ones_like(y_scale)
+    "zero_point", TensorProto.INT4, y_scale.shape, np.ones_like(y_scale)
 )
 y = make_tensor(
     "y", TensorProto.INT4, x.shape, [1, 2, 3, 5, -8, -6, 3, 4, 4, 5, 5, 7]
@@ -14188,7 +14188,7 @@ x = np.array(
 
 y_scale = np.asarray([2.0, 3.0, 4.0], dtype=np.float32)
 y_zero_point = make_tensor(
-    "y_zero_point", TensorProto.UINT4, y_scale.shape, np.ones_like(y_scale)
+    "zero_point", TensorProto.UINT4, y_scale.shape, np.ones_like(y_scale)
 )
 y = make_tensor(
     "y", TensorProto.UINT4, x.shape, [1, 2, 3, 5, -1, -1, 3, 4, 4, 5, 5, 11]
@@ -22880,27 +22880,6 @@ expect(
 </details>
 
 
-### Swish
-There are 1 test cases, listed as following:
-<details>
-<summary>swish</summary>
-
-```python
-node = onnx.helper.make_node(
-    "Swish",
-    inputs=["x"],
-    outputs=["y"],
-)
-
-x = np.array([3, 4, 5]).astype(np.float32)
-y = swish(x, alpha=1.0)
-
-expect(node, inputs=[x], outputs=[y], name="test_swish")
-```
-
-</details>
-
-
 ### Tan
 There are 1 test cases, listed as following:
 <details>

diff --git a/onnx/backend/test/data/node/test_dequantizelinear_int4/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_dequantizelinear_int4/test_data_set_0/input_2.pb
@@ -1 +1,2 @@
-*Bx_zero_point
+*B
+zero_point
diff --git a/onnx/backend/test/data/node/test_dequantizelinear_uint4/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_dequantizelinear_uint4/test_data_set_0/input_2.pb
@@ -1 +1,2 @@
-*Bx_zero_point
+*B
+zero_point
diff --git a/onnx/backend/test/data/node/test_quantizelinear_e4m3fn/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_quantizelinear_e4m3fn/test_data_set_0/input_2.pb
diff --git a/onnx/backend/test/data/node/test_quantizelinear_e5m2/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_quantizelinear_e5m2/test_data_set_0/input_2.pb
diff --git a/onnx/backend/test/data/node/test_quantizelinear_int4/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_quantizelinear_int4/test_data_set_0/input_2.pb
@@ -1 +1,2 @@
-*By_zero_point
+*B
+zero_point
diff --git a/onnx/backend/test/data/node/test_quantizelinear_uint4/test_data_set_0/input_2.pb b/onnx/backend/test/data/node/test_quantizelinear_uint4/test_data_set_0/input_2.pb
@@ -1 +1,2 @@
-*By_zero_point
+*B
+zero_point