Merge branch 'develop' into dynamic_reduce

src/include/migraphx/op/argmax.hpp

@@ -30,6 +30,7 @@
 #include <migraphx/config.hpp>
 #include <migraphx/value.hpp>
 #include <migraphx/op/normalize_attribute.hpp>
+#include <migraphx/dyn_output.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {
@@ -56,13 +57,21 @@ struct argmax
 
     shape normalize_compute_shape(std::vector<shape> inputs) const
     {
-        check_shapes{inputs, *this}.has(1);
-        auto lens = inputs[0].lens();
-
+        check_shapes{inputs, *this, true}.has(1);
+        const auto& s0 = inputs[0];
+        if(s0.dynamic())
+        {
+            auto dyn_dims  = s0.dyn_dims();
+            dyn_dims[axis] = {1, 1, 0};
+            return {shape::int64_type, dyn_dims};
+        }
+        else
+        {
+            auto lens  = s0.lens();
             lens[axis] = 1;
-
             return {shape::int64_type, lens};
         }
+    }
 
     template <class T>
     int64_t calc_argmax(T& input, std::vector<std::size_t>& indices, size_t item_num) const
@@ -79,19 +88,18 @@ struct argmax
                 max_index = i;
             }
         }
-
         return max_index;
     }
 
-    argument compute(const shape& output_shape, std::vector<argument> args) const
+    argument compute(const dyn_output& dyn_out, std::vector<argument> args) const
     {
-        argument result{output_shape};
+        argument result{dyn_out.computed_shape};
         auto batch_item_num = args.front().get_shape().lens()[axis];
 
         result.visit([&](auto output) {
             args[0].visit([&](auto input) {
-                par_for(output_shape.elements(), [&](auto i) {
-                    auto data_idx = output_shape.multi(i);
+                par_for(dyn_out.computed_shape.elements(), [&](auto i) {
+                    auto data_idx = dyn_out.computed_shape.multi(i);
                     output[i]     = this->calc_argmax(input, data_idx, batch_item_num);
                 });
             });

test/onnx/gen_onnx.py

@@ -140,6 +140,20 @@ def argmax_test():
     return ([node], [x], [y])
 
 
+@onnx_test
+def argmax_dyn_test():
+    x = helper.make_tensor_value_info('x', TensorProto.FLOAT, [None, 4, 5, 6])
+    y = helper.make_tensor_value_info('y', TensorProto.FLOAT, [None, 4, 6])
+
+    node = onnx.helper.make_node('ArgMax',
+                                 inputs=['x'],
+                                 outputs=['y'],
+                                 axis=2,
+                                 keepdims=0)
+
+    return ([node], [x], [y])
+
+
 @onnx_test
 def argmin_test():
     x = helper.make_tensor_value_info('x', TensorProto.FLOAT, [3, 4, 5, 6])

test/onnx/onnx_test.cpp

@@ -181,6 +181,24 @@ TEST_CASE(argmax_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(argmax_dyn_test)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+    auto l0  = mm->add_parameter(
+        "x",
+        migraphx::shape{migraphx::shape::float_type, {{1, 4, 0}, {4, 4, 0}, {5, 5, 0}, {6, 6, 0}}});
+    auto ins = mm->add_instruction(migraphx::make_op("argmax", {{"axis", 2}}), l0);
+    auto ret = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2}}}), ins);
+    mm->add_return({ret});
+
+    migraphx::onnx_options options;
+    options.default_dyn_dim_value = {1, 4, 0};
+    auto prog                     = parse_onnx("argmax_dyn_test.onnx", options);
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(argmin_test)
 {
     migraphx::program p;

test/op_shape_test.cpp

@@ -81,6 +81,64 @@ void throws_shape(const migraphx::shape&, Ts...)
                   "An expected shape should not be passed to throws_shape function");
 }
 
+TEST_CASE(argmax_axis0)
+{
+    migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
+    expect_shape(migraphx::shape{migraphx::shape::int64_type, {1, 3, 4, 5}},
+                 migraphx::make_op("argmax", {{"axis", 0}}),
+                 input);
+}
+
+TEST_CASE(argmax_axis1)
+{
+    migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
+    expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 1, 4, 5}},
+                 migraphx::make_op("argmax", {{"axis", 1}}),
+                 input);
+}
+
+TEST_CASE(argmax_axis2)
+{
+    migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
+    expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 1, 5}},
+                 migraphx::make_op("argmax", {{"axis", 2}}),
+                 input);
+}
+
+TEST_CASE(argmax_axis_neg)
+{
+    migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
+    expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 1}},
+                 migraphx::make_op("argmax", {{"axis", -1}}),
+                 input);
+}
+
+TEST_CASE(argmax_axis_outofbounds)
+{
+    migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
+    throws_shape(migraphx::make_op("argmax", {{"axis", 4}}), input);
+}
+
+TEST_CASE(argmax_dyn0)
+{
+    migraphx::shape input{migraphx::shape::float_type,
+                          {{1, 4, 0}, {3, 3, 0}, {4, 4, 0}, {5, 5, 0}}};
+    expect_shape(
+        migraphx::shape{migraphx::shape::int64_type, {{1, 4, 0}, {1, 1, 0}, {4, 4, 0}, {5, 5, 0}}},
+        migraphx::make_op("argmax", {{"axis", 1}}),
+        input);
+}
+
+TEST_CASE(argmax_dyn1)
+{
+    migraphx::shape input{migraphx::shape::float_type,
+                          {{1, 4, 0}, {3, 3, 0}, {4, 6, 0}, {4, 6, 0}}};
+    expect_shape(
+        migraphx::shape{migraphx::shape::int64_type, {{1, 4, 0}, {3, 3, 0}, {1, 1, 0}, {4, 6, 0}}},
+        migraphx::make_op("argmax", {{"axis", 2}}),
+        input);
+}
+
 TEST_CASE(binary_dyn_static_error)
 {
     migraphx::shape a_shape{migraphx::shape::float_type, {1, 4, 4}};
@@ -2059,42 +2117,6 @@ TEST_CASE(slice_shape)
 
 TEST_CASE(softmax) { test_softmax_variations<migraphx::op::softmax>(); }
 
-TEST_CASE(test_argmax)
-{
-    {
-        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
-        expect_shape(migraphx::shape{migraphx::shape::int64_type, {1, 3, 4, 5}},
-                     migraphx::make_op("argmax", {{"axis", 0}}),
-                     input);
-    }
-
-    {
-        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
-        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 1, 4, 5}},
-                     migraphx::make_op("argmax", {{"axis", 1}}),
-                     input);
-    }
-
-    {
-        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
-        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 1, 5}},
-                     migraphx::make_op("argmax", {{"axis", 2}}),
-                     input);
-    }
-
-    {
-        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
-        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 1}},
-                     migraphx::make_op("argmax", {{"axis", 3}}),
-                     input);
-    }
-
-    {
-        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
-        throws_shape(migraphx::make_op("argmax", {{"axis", 4}}), input);
-    }
-}
-
 TEST_CASE(test_argmin)
 {
     {

test/ref_ops_test.cpp

@@ -326,6 +326,28 @@ TEST_CASE(argmax_test_neg_2)
     EXPECT(migraphx::verify_range(result_vec, res_gold));
 }
 
+TEST_CASE(argmax_dyn_test)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+    migraphx::shape s{migraphx::shape::float_type, {{2, 2, 0}, {3, 6, 0}, {3, 6, 0}}};
+    auto dl = mm->add_parameter("X", s);
+    mm->add_instruction(migraphx::make_op("argmax", {{"axis", 0}}), dl);
+    p.compile(migraphx::ref::target{});
+
+    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
+                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
+                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
+    migraphx::parameter_map params;
+    migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 3, 4}};
+    params["X"] = migraphx::argument(input_fixed_shape, data.data());
+    auto result = p.eval(params).back();
+    std::vector<int64_t> result_vec;
+    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
+    std::vector<int64_t> res_gold = {0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1};
+    EXPECT(migraphx::verify_range(result_vec, res_gold));
+}
+
 TEST_CASE(argmin_test_0)
 {
     migraphx::program p;