Merge branch 'develop' of https://github.com/ROCmSoftwarePlatform/AMDMIGraphX into gather_op

src/tf/tf.cpp

@@ -160,12 +160,14 @@ struct tf_parser
 
         add_binary_op("Add", op::add{});
         add_binary_op("Mul", op::mul{});
+        add_binary_op("Pow", op::pow{});
         add_binary_op("SquaredDifference", op::sqdiff{});
         add_binary_op("Sub", op::sub{});
 
         add_mem_op("AvgPool", &tf_parser::parse_pooling);
         add_mem_op("BatchMatMul", &tf_parser::parse_matmul, false);
         add_mem_op("BiasAdd", &tf_parser::parse_biasadd);
+        add_mem_op("Cast", &tf_parser::parse_cast, false);
         add_mem_op("ConcatV2", &tf_parser::parse_concat, false);
         add_mem_op("Const", &tf_parser::parse_constant);
         add_mem_op("Conv2D", &tf_parser::parse_conv);
@@ -308,6 +310,13 @@ struct tf_parser
         return prog.add_instruction(op::add{}, args[0], l0);
     }
 
+    instruction_ref
+    parse_cast(const std::string&, attribute_map attributes, std::vector<instruction_ref> args)
+    {
+        shape::type_t type = parse_type(attributes.at("DstT").type());
+        return prog.add_instruction(op::convert{type}, std::move(args));
+    }
+
     instruction_ref
     parse_concat(const std::string&, attribute_map attributes, std::vector<instruction_ref> args)
     {

test/tf/pow_test.pb

+
+:
+
0Placeholder*
+dtype0
*
+shape:

+:
+
1Placeholder*
+dtype0
*
+shape:

+
+pow1Pow
0
1*
+
T0
"
\ No newline at end of file

test/tf/tf_test.cpp

@@ -118,6 +118,16 @@ TEST_CASE(concat_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(cast_test)
+{
+    migraphx::program p;
+    auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
+    p.add_instruction(migraphx::op::convert{migraphx::shape::int32_type}, l0);
+    auto prog = optimize_tf("cast_test.pb", false);
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(const_test)
 {
     migraphx::program p;
@@ -343,12 +353,22 @@ TEST_CASE(pooling_test)
     avg_pool_op.lengths      = {2, 2};
     max_pool_op.lengths      = {2, 2};
     p.add_instruction(max_pool_op, l0);
-    // p.add_instruction(avg_pool_op, l0);
     auto prog = optimize_tf("pooling_test.pb", true);
 
     EXPECT(p == prog);
 }
 
+TEST_CASE(pow_test)
+{
+    migraphx::program p;
+    auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
+    auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
+    p.add_instruction(migraphx::op::pow{}, l0, l1);
+    auto prog = optimize_tf("pow_test.pb", false);
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(relu_test)
 {
     migraphx::program p;