Merge branch 'master' into fp16

test/dead_code_elimination_test.cpp

@@ -43,6 +43,22 @@ void simple_test_nop()
     EXPECT(result != migraph::literal{4});
 }
 
+void simple_test_nop2()
+{
+    migraph::program p;
+
+    auto one = p.add_literal(1);
+    auto two = p.add_literal(2);
+    p.add_instruction(nop{});
+    p.add_instruction(sum_op{}, one, two);
+    p.add_instruction(nop{});
+    p.compile(dce_target{});
+    EXPECT(std::distance(p.begin(), p.end()) == 2);
+    auto result = p.eval({});
+    EXPECT(result == migraph::literal{});
+    EXPECT(result != migraph::literal{4});
+}
+
 void duplicate_test1()
 {
     migraph::program p;
@@ -99,6 +115,7 @@ int main()
 {
     simple_test();
     simple_test_nop();
+    simple_test_nop2();
     duplicate_test1();
     duplicate_test2();
     depth_test();

test/gpu/miopen.cpp

@@ -175,6 +175,33 @@ struct test_add
     }
 };
 
+struct test_mul
+{
+    migraph::program create_program() const
+    {
+        migraph::program p;
+        migraph::shape s{migraph::shape::float_type, {3}};
+        auto x = p.add_parameter("x", s);
+        auto y = p.add_parameter("y", s);
+        p.add_instruction(migraph::op::mul{}, x, y);
+        return p;
+    }
+};
+
+struct test_scale
+{
+    migraph::program create_program() const
+    {
+        migraph::program p;
+        migraph::shape s{migraph::shape::float_type, {3}};
+        auto x     = p.add_parameter("x", s);
+        auto y     = p.add_parameter("y", migraph::shape::float_type);
+        auto scale = p.add_instruction(migraph::op::scalar{s}, y);
+        p.add_instruction(migraph::op::mul{}, x, scale);
+        return p;
+    }
+};
+
 struct test_triadd
 {
     migraph::program create_program() const
@@ -653,6 +680,8 @@ int main()
     verify_program<test_concat>();
     verify_program<test_concat2>();
     verify_program<test_add>();
+    verify_program<test_mul>();
+    verify_program<test_scale>();
     verify_program<test_triadd>();
     verify_program<test_triadd2>();
     verify_program<test_add_broadcast>();

test/onnx/onnx_test.cpp

@@ -100,6 +100,24 @@ void leaky_relu_test()
     EXPECT(p == prog);
 }
 
+void imagescaler_test()
+{
+    migraph::program p;
+    migraph::shape s{migraph::shape::float_type, {1, 3, 16, 16}};
+    auto l0        = p.add_parameter("0", s);
+    auto scale_val = p.add_literal(0.5f);
+    auto bias_vals = p.add_literal(
+        migraph::literal{migraph::shape{migraph::shape::float_type, {3}}, {0.01, 0.02, 0.03}});
+    auto scaled_tensor = p.add_instruction(migraph::op::scalar{s}, scale_val);
+    auto img_scaled    = p.add_instruction(migraph::op::mul{}, l0, scaled_tensor);
+    auto bias_bcast    = p.add_instruction(migraph::op::broadcast{1, s}, bias_vals);
+    p.add_instruction(migraph::op::add{}, img_scaled, bias_bcast);
+
+    auto prog = migraph::parse_onnx("imagescaler_test.onnx");
+
+    EXPECT(p == prog);
+}
+
 int main()
 {
     pytorch_conv_bias_test();
@@ -107,4 +125,5 @@ int main()
     pytorch_conv_bn_relu_maxpool();
     pytorch_conv_relu_maxpool_x2();
     leaky_relu_test();
+    imagescaler_test();
 }

test/op_shape_test.cpp

@@ -93,7 +93,7 @@ void contiguous_shape()
     throws_shape(migraph::op::contiguous{}, input, input);
 
     migraph::shape single{migraph::shape::float_type, {2}};
-    throws_shape(migraph::op::contiguous{}, single);
+    expect_shape(single, migraph::op::contiguous{}, single);
 }
 
 void reshape_shape()