重命名 pt2tf 为 pt2pb

2020-10-14 08:55:07 +08:00
parent 324ab60a5d
commit 90ae190559
407 changed files with 0 additions and 0 deletions
@@ -0,0 +1,40 @@
+import tensorflow as tf
+
+from onnx_tf.handlers.backend_handler import BackendHandler
+from onnx_tf.handlers.handler import onnx_op
+
+
+@onnx_op("DequantizeLinear")
+class DequantizeLinear(BackendHandler):
+
+  @classmethod
+  def args_check(cls, node, **kwargs):
+    tensor_dict = kwargs["tensor_dict"]
+    if len(node.inputs) == 3:
+      x = tensor_dict[node.inputs[0]]
+      x_scale = tensor_dict[node.inputs[1]]
+      x_zero_point = tensor_dict[node.inputs[2]]
+      if x_scale.shape != x_zero_point.shape:
+        raise ValueError("DequantizeLinear x_scale(shape=" +
+                         str(x_scale.shape) + ") and x_zero_point(shape=" +
+                         str(x_zero_point.shape) +
+                         ") must be in the same shape")
+      if x_zero_point.dtype != x.dtype:
+        raise ValueError("DequantizeLinear x_zero_point(" +
+                         str(x_zero_point.dtype) + ") and x(" + str(x.dtype) +
+                         ") must be in the same dtype")
+
+  @classmethod
+  def version_10(cls, node, **kwargs):
+    tensor_dict = kwargs["tensor_dict"]
+    x = tensor_dict[node.inputs[0]]
+    x = tf.cast(x, tf.float32)
+    x_scale = tensor_dict[node.inputs[1]]
+    if len(node.inputs) == 3 and x.dtype != tf.int32:
+      x_zero_point = tensor_dict[node.inputs[2]]
+      x_zero_point = tf.cast(x_zero_point, tf.float32)
+      x = tf.subtract(x, x_zero_point)
+
+    y = tf.multiply(x, x_scale)
+
+    return [y]