diff options
Diffstat (limited to 'ethosu/vela/test/test_tflite_supported_operators.py')
| -rw-r--r-- | ethosu/vela/test/test_tflite_supported_operators.py | 64 |
1 files changed, 58 insertions, 6 deletions
diff --git a/ethosu/vela/test/test_tflite_supported_operators.py b/ethosu/vela/test/test_tflite_supported_operators.py index 04d3cba1..ab12e417 100644 --- a/ethosu/vela/test/test_tflite_supported_operators.py +++ b/ethosu/vela/test/test_tflite_supported_operators.py @@ -306,30 +306,82 @@ def test_constraint_filter_product_height_range(): assert not support.is_operator_supported(op) -def test_constraint_resize(): +def test_constraint_bilinear_resize(): # IFM W and H == 1 op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 1, 1, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [8, 8], np.int32)) assert support.is_operator_supported(op) + # IFM == OFM op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 8, 8, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [8, 8], np.int32)) assert support.is_operator_supported(op) + # IFM x2 == OFM ; align_corners = False op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [8, 8], np.int32)) + assert support.is_operator_supported(op) + + # IFM x4 == OFM ; align_corners = False + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 16, 16, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [16, 16], np.int32)) assert support.is_operator_supported(op) - # IFM x2 -1 == OFM ; align_corners = True + + # IFM x8 == OFM ; align_corners = False + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 32, 32, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [32, 32], np.int32)) + assert support.is_operator_supported(op) + + # IFM -1 x2 == OFM -1 ; align_corners = True op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 7, 7, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [7, 7], np.int32)) op.attrs["align_corners"] = True assert support.is_operator_supported(op) - # Invalid cases - op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 20, 20, 8]) + + # IFM -1 x4 == OFM -1 ; align_corners = True + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 13, 13, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [13, 13], np.int32)) + op.attrs["align_corners"] = True + assert support.is_operator_supported(op) + + # IFM -1 x8 == OFM -1 ; align_corners = True + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 25, 25, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [25, 25], np.int32)) + op.attrs["align_corners"] = True + assert support.is_operator_supported(op) + + # Invalid case - upscale size + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 17, 17, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [17, 17], np.int32)) assert not support.is_operator_supported(op) + + # Invalid case - upscale size with align corners + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 15, 15, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [15, 15], np.int32)) op.attrs["align_corners"] = True assert not support.is_operator_supported(op) +def test_constraint_bilinear_resize_size(): + # Invalid case - size != ofm size + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [7, 7], np.int32)) + assert not support.is_operator_supported(op) + + def test_constraint_bilinear_resize_attrs(): - op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 1, 1, 8], [1, 8, 8, 8]) - assert support.is_operator_supported(op) + # Invalid case - both align corners and half-pixel centers + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [8, 8], np.int32)) + op.attrs["align_corners"] = True + op.attrs["half_pixel_centers"] = True + assert not support.is_operator_supported(op) + + +def test_constraint_bilinear_resize_hpc(): + # Invalid case - half-pixel centers (not supported) + op = testutil.create_op_with_quant_tensors(Op.ResizeBilinear, [1, 4, 4, 8], [1, 8, 8, 8]) + op.add_input_tensor(create_const_tensor("size", [2], DataType.int32, [8, 8], np.int32)) op.attrs["half_pixel_centers"] = True assert not support.is_operator_supported(op) |