support paddle elementwise_floordiv

Author: taixiurong

src/core/tests/frontend/paddle/op_fuzzy.cpp

@@ -126,6 +126,12 @@ static const std::vector<std::string> models{
  std::string("elementwise_mul4"),
  std::string("elementwise_pow4"),
  std::string("elementwise_sub4"),
+ std::string("elementwise_floordiv_int32_1"),
+ std::string("elementwise_floordiv_int32_2"),
+ std::string("elementwise_floordiv_int32_3"),
+ std::string("elementwise_floordiv_int64_1"),
+ std::string("elementwise_floordiv_int64_2"),
+ std::string("elementwise_floordiv_int64_3"),
  std::string("embedding_0"),
  std::string("embedding_sparse"),
  std::string("embedding_none_weight"),

src/core/tests/frontend/paddle/test_models/gen_scripts/generate_elementwise_ops.py

@@ -162,6 +162,34 @@ def elementwise_pow(name : str, x, y, axis, in_dtype):
 
  return outs[0]
 
+
+def elementwise_floordiv(name : str, x, y, axis, in_dtype):
+ import paddle
+ paddle.enable_static()
+
+ with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
+ node_x = paddle.static.data(name = 'x', shape = x.shape, dtype = in_dtype)
+ node_y = paddle.static.data(name = 'y', shape = y.shape, dtype = in_dtype)
+ if paddle.__version__ == "1.8":
+ out = paddle.fluid.layers.nn.elementwise_floordiv(node_x, node_y, axis=axis)
+ else:
+ if axis != -1:
+ pass
+ out = paddle.floor_divide(node_x, node_y)
+
+ cpu = paddle.static.cpu_places(1)
+ exe = paddle.static.Executor(cpu[0])
+
+ # startup program will call initializer to initialize the parameters.
+ exe.run(paddle.static.default_startup_program())
+ outs = exe.run(
+ feed={'x': x, 'y': y},
+ fetch_list=[out])
+ saveModel(name, exe, feedkeys=['x', 'y'], fetchlist=[out], inputs=[x, y], outputs=[outs[0]], target_dir=sys.argv[1])
+
+ return outs[0]
+
+
 def elementwise_ops(name : str, data_x, data_y, axis, in_dtype):
  elementwise_add("elementwise_add" + name, data_x, data_y, axis, in_dtype)
  elementwise_sub("elementwise_sub" + name, data_x, data_y, axis, in_dtype)
@@ -193,5 +221,29 @@ def main():
  axis = 0
  elementwise_ops("4", data_x, data_y, axis, in_dtype)
 
+ # test for elementwise_floordiv, support int and int64
+ # paddle1.8 support axis = [0, x_last_dims]
+ # paddle2.x only support axis = -1
+ floordiv_support_dtype = ['int64', 'int32']
+ data_x = np.array([-4, 0, -8])
+ 
+ data_y = np.array([3, 5, 3])
+ axis = -1
+ for dtype in floordiv_support_dtype:
+ elementwise_floordiv("elementwise_floordiv_" + dtype + "_1", 
+ data_x.astype(dtype), data_y.astype(dtype), axis, dtype)
+
+ data_x = np.random.randint(-10, 10, [2, 5, 3, 4])
+ data_y = np.random.randint(1, 5, [3, 4])
+ for dtype in floordiv_support_dtype:
+ elementwise_floordiv("elementwise_floordiv_" + dtype + "_2", 
+ data_x.astype(dtype), data_y.astype(dtype), axis, dtype)
+
+ data_y = np.random.randint(1, 5, [5, 3, 4])
+ for dtype in floordiv_support_dtype:
+ elementwise_floordiv("elementwise_floordiv_" + dtype + "_3", 
+ data_x.astype(dtype), data_y.astype(dtype), axis, dtype)
+
+
 if __name__ == "__main__":
  main()

src/frontends/paddle/src/op/elementwise_ops.cpp

@@ -46,6 +46,21 @@ NamedOutputs elementwise_greater_equal(const NodeContext& node_context) {
  return elementwise_ops<default_opset::GreaterEqual>(node_context);
 }
 
+NamedOutputs elementwise_floordiv(const NodeContext& node_context) {
+ auto x = node_context.get_input("X");
+ auto y = node_context.get_input("Y");
+ auto axis = -1;
+ if (node_context.has_attribute("axis")) {
+ axis = node_context.get_attribute<int>("axis");
+ }
+ return node_context.default_single_output_mapping(
+ {std::make_shared<default_opset::Divide>(x,
+ y,
+ false,
+ ov::op::AutoBroadcastSpec(ov::op::AutoBroadcastType::PDPD, axis))},
+ {"Out"});
+}
+
 } // namespace op
 } // namespace paddle
 } // namespace frontend

src/frontends/paddle/src/op_table.cpp

@@ -25,6 +25,7 @@ OP_CONVERTER(dropout);
 OP_CONVERTER(elementwise_add);
 OP_CONVERTER(elementwise_div);
 OP_CONVERTER(elementwise_equal);
+OP_CONVERTER(elementwise_floordiv);
 OP_CONVERTER(elementwise_greater_equal);
 OP_CONVERTER(elementwise_max);
 OP_CONVERTER(elementwise_min);
@@ -123,6 +124,7 @@ std::map<std::string, CreatorFunction> get_supported_ops() {
  {"dropout", op::dropout},
  {"elementwise_add", op::elementwise_add},
  {"elementwise_div", op::elementwise_div},
+ {"elementwise_floordiv", op::elementwise_floordiv},
  {"elementwise_max", op::elementwise_max},
  {"elementwise_min", op::elementwise_min},
  {"elementwise_mul", op::elementwise_mul},