diff options
Diffstat (limited to 'ethosu/vela/test/test_tflite_supported_operators.py')
| -rw-r--r-- | ethosu/vela/test/test_tflite_supported_operators.py | 160 |
1 files changed, 82 insertions, 78 deletions
diff --git a/ethosu/vela/test/test_tflite_supported_operators.py b/ethosu/vela/test/test_tflite_supported_operators.py index ab12e417..89c27997 100644 --- a/ethosu/vela/test/test_tflite_supported_operators.py +++ b/ethosu/vela/test/test_tflite_supported_operators.py @@ -306,84 +306,88 @@ def test_constraint_filter_product_height_range(): assert not support.is_operator_supported(op) -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 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) - - # 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(): - # 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) +def test_constraint_resize(): + for resize_op in Op.op_set(Op.is_resize_op): + # IFM W and H == 1 + op = testutil.create_op_with_quant_tensors(resize_op, [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(resize_op, [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(resize_op, [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(resize_op, [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 x8 == OFM ; align_corners = False + op = testutil.create_op_with_quant_tensors(resize_op, [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(resize_op, [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) + + # IFM -1 x4 == OFM -1 ; align_corners = True + op = testutil.create_op_with_quant_tensors(resize_op, [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(resize_op, [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(resize_op, [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(resize_op, [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_resize_size(): + for resize_op in Op.op_set(Op.is_resize_op): + # Invalid case - size != ofm size + op = testutil.create_op_with_quant_tensors(resize_op, [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_resize_attrs(): + for resize_op in Op.op_set(Op.is_resize_op): + # Invalid case - both align corners and half-pixel centers + op = testutil.create_op_with_quant_tensors(resize_op, [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_resize_half_pixel_centers(): + for resize_op in Op.op_set(Op.is_resize_op): + # Invalid case - half-pixel centers (not supported) + op = testutil.create_op_with_quant_tensors(resize_op, [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) def test_constraint_concat_pass(): |