# Owner(s): ["oncall: quantization"] from .common import AOMigrationTestCase class TestAOMigrationQuantization(AOMigrationTestCase): r"""Modules and functions related to the `torch/quantization` migration to `torch/ao/quantization`. """ def test_function_import_quantize(self): function_list = [ "_convert", "_observer_forward_hook", "_propagate_qconfig_helper", "_remove_activation_post_process", "_remove_qconfig", "_add_observer_", "add_quant_dequant", "convert", "_get_observer_dict", "_get_unique_devices_", "_is_activation_post_process", "prepare", "prepare_qat", "propagate_qconfig_", "quantize", "quantize_dynamic", "quantize_qat", "_register_activation_post_process_hook", "swap_module", ] self._test_function_import("quantize", function_list) def test_function_import_stubs(self): function_list = [ "QuantStub", "DeQuantStub", "QuantWrapper", ] self._test_function_import("stubs", function_list) def test_function_import_quantize_jit(self): function_list = [ "_check_is_script_module", "_check_forward_method", "script_qconfig", "script_qconfig_dict", "fuse_conv_bn_jit", "_prepare_jit", "prepare_jit", "prepare_dynamic_jit", "_convert_jit", "convert_jit", "convert_dynamic_jit", "_quantize_jit", "quantize_jit", "quantize_dynamic_jit", ] self._test_function_import("quantize_jit", function_list) def test_function_import_fake_quantize(self): function_list = [ "_is_per_channel", "_is_per_tensor", "_is_symmetric_quant", "FakeQuantizeBase", "FakeQuantize", "FixedQParamsFakeQuantize", "FusedMovingAvgObsFakeQuantize", "default_fake_quant", "default_weight_fake_quant", "default_fixed_qparams_range_neg1to1_fake_quant", "default_fixed_qparams_range_0to1_fake_quant", "default_per_channel_weight_fake_quant", "default_histogram_fake_quant", "default_fused_act_fake_quant", "default_fused_wt_fake_quant", "default_fused_per_channel_wt_fake_quant", "_is_fake_quant_script_module", "disable_fake_quant", "enable_fake_quant", "disable_observer", "enable_observer", ] self._test_function_import("fake_quantize", function_list) def test_function_import_fuse_modules(self): function_list = [ "_fuse_modules", "_get_module", "_set_module", "fuse_conv_bn", "fuse_conv_bn_relu", "fuse_known_modules", "fuse_modules", "get_fuser_method", ] self._test_function_import("fuse_modules", function_list) def test_function_import_quant_type(self): function_list = [ "QuantType", "_get_quant_type_to_str", ] self._test_function_import("quant_type", function_list) def test_function_import_observer(self): function_list = [ "_PartialWrapper", "_with_args", "_with_callable_args", "ABC", "ObserverBase", "_ObserverBase", "MinMaxObserver", "MovingAverageMinMaxObserver", "PerChannelMinMaxObserver", "MovingAveragePerChannelMinMaxObserver", "HistogramObserver", "PlaceholderObserver", "RecordingObserver", "NoopObserver", "_is_activation_post_process", "_is_per_channel_script_obs_instance", "get_observer_state_dict", "load_observer_state_dict", "default_observer", "default_placeholder_observer", "default_debug_observer", "default_weight_observer", "default_histogram_observer", "default_per_channel_weight_observer", "default_dynamic_quant_observer", "default_float_qparams_observer", ] self._test_function_import("observer", function_list) def test_function_import_qconfig(self): function_list = [ "QConfig", "default_qconfig", "default_debug_qconfig", "default_per_channel_qconfig", "QConfigDynamic", "default_dynamic_qconfig", "float16_dynamic_qconfig", "float16_static_qconfig", "per_channel_dynamic_qconfig", "float_qparams_weight_only_qconfig", "default_qat_qconfig", "default_weight_only_qconfig", "default_activation_only_qconfig", "default_qat_qconfig_v2", "get_default_qconfig", "get_default_qat_qconfig", "_assert_valid_qconfig", "QConfigAny", "_add_module_to_qconfig_obs_ctr", "qconfig_equals", ] self._test_function_import("qconfig", function_list) def test_function_import_quantization_mappings(self): function_list = [ "no_observer_set", "get_default_static_quant_module_mappings", "get_static_quant_module_class", "get_dynamic_quant_module_class", "get_default_qat_module_mappings", "get_default_dynamic_quant_module_mappings", "get_default_qconfig_propagation_list", "get_default_compare_output_module_list", "get_default_float_to_quantized_operator_mappings", "get_quantized_operator", "_get_special_act_post_process", "_has_special_act_post_process", ] dict_list = [ "DEFAULT_REFERENCE_STATIC_QUANT_MODULE_MAPPINGS", "DEFAULT_STATIC_QUANT_MODULE_MAPPINGS", "DEFAULT_QAT_MODULE_MAPPINGS", "DEFAULT_DYNAMIC_QUANT_MODULE_MAPPINGS", # "_INCLUDE_QCONFIG_PROPAGATE_LIST", "DEFAULT_FLOAT_TO_QUANTIZED_OPERATOR_MAPPINGS", "DEFAULT_MODULE_TO_ACT_POST_PROCESS", ] self._test_function_import("quantization_mappings", function_list) self._test_dict_import("quantization_mappings", dict_list) def test_function_import_fuser_method_mappings(self): function_list = [ "fuse_conv_bn", "fuse_conv_bn_relu", "fuse_linear_bn", "get_fuser_method", ] dict_list = ["_DEFAULT_OP_LIST_TO_FUSER_METHOD"] self._test_function_import("fuser_method_mappings", function_list) self._test_dict_import("fuser_method_mappings", dict_list) def test_function_import_utils(self): function_list = [ "activation_dtype", "activation_is_int8_quantized", "activation_is_statically_quantized", "calculate_qmin_qmax", "check_min_max_valid", "get_combined_dict", "get_qconfig_dtypes", "get_qparam_dict", "get_quant_type", "get_swapped_custom_module_class", "getattr_from_fqn", "is_per_channel", "is_per_tensor", "weight_dtype", "weight_is_quantized", "weight_is_statically_quantized", ] self._test_function_import("utils", function_list)