manual merge

src/simplify_reshapes.cpp

@@ -215,12 +215,9 @@ void simplify_reshapes::apply(program& p) const
         // Skip possible dead instructions
         if(ins->outputs().empty() and ins != end)
             continue;
-        match::find_matches(p,
-                            ins,
-                            find_nop_reshapes{},
-                            find_reshaper{},
-                            find_transpose{},
-                            find_concat_transpose{});
+        match::find_matches(p, ins, find_nop_reshapes{}, find_reshaper{}, find_transpose{}
+                            // find_concat_transpose{}
+        );
     }
 }
 

src/tf/tf.cpp

@@ -185,7 +185,7 @@ struct tf_parser
         add_mem_op("Slice", &tf_parser::parse_slice, false);
         add_mem_op("Softmax", &tf_parser::parse_softmax);
         add_mem_op("Squeeze", &tf_parser::parse_squeeze, false);
-        add_mem_op("StridedSlice", &tf_parser::parse_stridedslice);
+        add_mem_op("StridedSlice", &tf_parser::parse_stridedslice, false);
         add_mem_op("Transpose", &tf_parser::parse_transpose, false);
     }
 
@@ -823,19 +823,65 @@ struct tf_parser
         op::slice op;
         auto starts              = args[1]->eval().get<int32_t>().to_vector();
         auto ends                = args[2]->eval().get<int32_t>().to_vector();
-        size_t num_axes = args[0]->get_shape().lens().size();
+        auto l0                  = args[0];
+        size_t num_axes          = l0->get_shape().lens().size();
+        std::vector<size_t> axes = l0->get_shape().lens();
 
         op.starts = std::vector<int64_t>(starts.begin(), starts.end());
         op.ends   = std::vector<int64_t>(ends.begin(), ends.end());
         op.axes   = std::vector<int64_t>(num_axes);
         std::iota(op.axes.begin(), op.axes.end(), 0);
+        uint32_t begin_mask       = 0;
+        uint32_t end_mask         = 0;
         uint32_t shrink_axis_mask = 0;
         uint32_t bitwise_compare  = 1;
+        std::vector<int64_t> begin_axes;
+        std::vector<int64_t> end_axes;
         std::vector<int64_t> squeeze_axes;
 
+        if(contains(attributes, "begin_mask"))
+            begin_mask = static_cast<uint32_t>(attributes.at("begin_mask").i());
+
+        if(contains(attributes, "end_mask"))
+            end_mask = static_cast<uint32_t>(attributes.at("end_mask").i());
+
         if(contains(attributes, "shrink_axis_mask"))
             shrink_axis_mask = static_cast<uint32_t>(attributes.at("shrink_axis_mask").i());
 
+        for(size_t i = 0; i < num_axes; i++)
+        {
+            // the LSB corresponds to axis 0 when determining which axes to begin
+            if(((begin_mask >> i) & bitwise_compare) == 1)
+                begin_axes.push_back(1);
+            else
+                begin_axes.push_back(0);
+        }
+
+        for(size_t i = 0; i < num_axes; i++)
+        {
+            // the LSB corresponds to axis 0 when determining which axes to end
+            if(((end_mask >> i) & bitwise_compare) == 1)
+                end_axes.push_back(1);
+            else
+                end_axes.push_back(0);
+        }
+
+        for(size_t i = 0; i < num_axes; i++)
+        {
+            if(begin_axes.at(i) == 1)
+            {
+                op.starts.at(i) = 0;
+            }
+            if(end_axes.at(i) == 1)
+            {
+                op.ends.at(i) = axes.at(i);
+            }
+        }
+
+        auto l1 = prog.add_instruction(op, l0);
+        if(shrink_axis_mask == 0)
+            return l1;
+
         for(size_t i = 0; i < num_axes; i++)
         {
             // the LSB corresponds to axis 0 when determining which axes to squeeze
@@ -843,8 +889,7 @@ struct tf_parser
                 squeeze_axes.push_back(i);
         }
 
-        auto l0 = prog.add_instruction(op, make_contiguous(args[0]));
-        return to_nhwc(prog.add_instruction(op::squeeze{squeeze_axes}, l0));
+        return prog.add_instruction(op::squeeze{squeeze_axes}, l1);
     }
 
     instruction_ref

test/tf/tf_test.cpp

@@ -516,6 +516,27 @@ TEST_CASE(tanh_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(stridedslice_masks_test)
+{
+    migraphx::program p;
+    auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 10, 3, 3}});
+    std::size_t num_axes = 4;
+    migraphx::op::slice op;
+    op.starts = {0, 0, 1, 1};
+    op.ends   = {1, 10, 3, 3};
+    op.axes   = std::vector<int64_t>(num_axes);
+    std::iota(op.axes.begin(), op.axes.end(), 0);
+    // add literals for starts, ends, and strides in tf (NHWC format)
+    p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{0, 1, 1, 0});
+    p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{0, 0, 0, 0});
+    p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{1, 1, 1, 1});
+
+    p.add_instruction(op, l0);
+    auto prog = migraphx::parse_tf("stridedslice_masks_test.pb", true);
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(transpose_test)
 {
     migraphx::program p;