Move TensorboardWriter function from core runner

model_compression_toolkit/core/common/visualization/tensorboard_writer.py

@@ -16,6 +16,7 @@
 from copy import deepcopy
 
 import io
+import os
 import numpy as np
 from PIL import Image
 from matplotlib.figure import Figure
@@ -34,6 +35,9 @@
 from model_compression_toolkit.core import FrameworkInfo
 from model_compression_toolkit.core.common import Graph, BaseNode
 from model_compression_toolkit.core.common.collectors.statistics_collector import BaseStatsCollector
+from model_compression_toolkit.logger import Logger
+from model_compression_toolkit.core.common.visualization.final_config_visualizer import \
+    WeightsFinalBitwidthConfigVisualizer, ActivationFinalBitwidthConfigVisualizer
 
 DEVICE_STEP_STATS = "/device:CPU:0"
 
@@ -486,3 +490,45 @@ def add_figure(self,
         er = self.__get_event_writer_by_tag_name(main_tag_name)
         er.add_event(event)
         er.flush()
+
+
+def init_tensorboard_writer(fw_info: FrameworkInfo) -> TensorboardWriter:
+    """
+    Create a TensorBoardWriter object initialized with the logger dir path if it was set,
+    or None otherwise.
+
+    Args:
+        fw_info: FrameworkInfo object.
+
+    Returns:
+        A TensorBoardWriter object.
+    """
+    tb_w = None
+    if Logger.LOG_PATH is not None:
+        tb_log_dir = os.path.join(os.getcwd(), Logger.LOG_PATH, 'tensorboard_logs')
+        Logger.info(f'To use Tensorboard, please run: tensorboard --logdir {tb_log_dir}')
+        tb_w = TensorboardWriter(tb_log_dir, fw_info)
+    return tb_w
+
+
+def finalize_bitwidth_in_tb(tb_w: TensorboardWriter,
+                            weights_conf_nodes_bitwidth: List,
+                            activation_conf_nodes_bitwidth: List):
+    """
+    Set the final bit-width configuration of the quantized model in the provided TensorBoard object.
+
+    Args:
+        tb_w: A TensorBoard object.
+        weights_conf_nodes_bitwidth: Final weights bit-width configuration.
+        activation_conf_nodes_bitwidth: Final activation bit-width configuration.
+
+    """
+
+    if len(weights_conf_nodes_bitwidth) > 0:
+        visual = WeightsFinalBitwidthConfigVisualizer(weights_conf_nodes_bitwidth)
+        figure = visual.plot_config_bitwidth()
+        tb_w.add_figure(figure, f'Weights final bit-width config')
+    if len(activation_conf_nodes_bitwidth) > 0:
+        visual = ActivationFinalBitwidthConfigVisualizer(activation_conf_nodes_bitwidth)
+        figure = visual.plot_config_bitwidth()
+        tb_w.add_figure(figure, f'Activation final bit-width config')

model_compression_toolkit/core/runner.py

@@ -14,11 +14,9 @@
 # ==============================================================================
 
 
-import os
 from typing import Callable, Tuple, Any, List, Dict
 
 import numpy as np
-from tqdm import tqdm
 
 from model_compression_toolkit.core.common import FrameworkInfo
 from model_compression_toolkit.core.common.hessian.hessian_info_service import HessianInfoService
@@ -33,20 +31,14 @@
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi_functions_mapping import kpi_functions_mapping
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi_methods import MpKpiMetric
 from model_compression_toolkit.core.common.mixed_precision.mixed_precision_search_facade import search_bit_width
-from model_compression_toolkit.core.common.model_collector import ModelCollector
 from model_compression_toolkit.core.common.network_editors.edit_network import edit_network_graph
 from model_compression_toolkit.core.common.quantization.core_config import CoreConfig
-from model_compression_toolkit.core.common.quantization.quantization_analyzer import analyzer_graph
-from model_compression_toolkit.core.common.quantization.quantization_params_generation.qparams_computation import \
-    calculate_quantization_params
-from model_compression_toolkit.core.common.statistics_correction.statistics_correction import \
-    statistics_correction_runner
-from model_compression_toolkit.core.common.substitutions.apply_substitutions import substitute
 from model_compression_toolkit.target_platform_capabilities.target_platform.targetplatform2framework import TargetPlatformCapabilities
 from model_compression_toolkit.core.common.visualization.final_config_visualizer import \
     WeightsFinalBitwidthConfigVisualizer, \
     ActivationFinalBitwidthConfigVisualizer
-from model_compression_toolkit.core.common.visualization.tensorboard_writer import TensorboardWriter
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import TensorboardWriter, \
+    finalize_bitwidth_in_tb
 
 
 def core_runner(in_model: Any,
@@ -150,37 +142,11 @@ def core_runner(in_model: Any,
             f'Final activation bit-width configuration: {[node_b[1] for node_b in activation_conf_nodes_bitwidth]}')
 
         if tb_w is not None:
-            if len(weights_conf_nodes_bitwidth) > 0:
-                visual = WeightsFinalBitwidthConfigVisualizer(weights_conf_nodes_bitwidth)
-                figure = visual.plot_config_bitwidth()
-                tb_w.add_figure(figure, f'Weights final bit-width config')
-            if len(activation_conf_nodes_bitwidth) > 0:
-                visual = ActivationFinalBitwidthConfigVisualizer(activation_conf_nodes_bitwidth)
-                figure = visual.plot_config_bitwidth()
-                tb_w.add_figure(figure, f'Activation final bit-width config')
+            finalize_bitwidth_in_tb(tb_w, weights_conf_nodes_bitwidth, activation_conf_nodes_bitwidth)
 
     return tg, bit_widths_config, hessian_info_service
 
 
-def _init_tensorboard_writer(fw_info: FrameworkInfo) -> TensorboardWriter:
-    """
-    Create a TensorBoardWriter object initialized with the logger dir path if it was set,
-    or None otherwise.
-
-    Args:
-        fw_info: FrameworkInfo object.
-
-    Returns:
-        A TensorBoardWriter object.
-    """
-    tb_w = None
-    if Logger.LOG_PATH is not None:
-        tb_log_dir = os.path.join(os.getcwd(), Logger.LOG_PATH, 'tensorboard_logs')
-        Logger.info(f'To use Tensorboard, please run: tensorboard --logdir {tb_log_dir}')
-        tb_w = TensorboardWriter(tb_log_dir, fw_info)
-    return tb_w
-
-
 def _set_final_kpi(graph: Graph,
                    final_bit_widths_config: List[int],
                    kpi_functions_dict: Dict[KPITarget, Tuple[MpKpiMetric, MpKpiAggregation]],

model_compression_toolkit/gptq/keras/quantization_facade.py

@@ -16,6 +16,7 @@
 from typing import Callable, Tuple
 from packaging import version
 
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import TENSORFLOW, FOUND_TF
 from model_compression_toolkit.core.common.user_info import UserInformation
@@ -24,7 +25,7 @@
 from model_compression_toolkit.core.common.framework_info import FrameworkInfo
 from model_compression_toolkit.core.common.mixed_precision.mixed_precision_quantization_config import MixedPrecisionQuantizationConfigV2
 from model_compression_toolkit.core import CoreConfig
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.gptq.runner import gptq_runner
 from model_compression_toolkit.core.exporter import export_model
 from model_compression_toolkit.core.analyzer import analyzer_model_quantization
@@ -202,7 +203,7 @@ def keras_gradient_post_training_quantization_experimental(in_model: Model,
             Logger.info("Using experimental mixed-precision quantization. "
                                "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = GPTQKerasImplemantation()
 

model_compression_toolkit/gptq/pytorch/quantization_facade.py

@@ -15,12 +15,13 @@
 from typing import Callable
 from model_compression_toolkit.core import common
 from model_compression_toolkit.constants import FOUND_TORCH
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import PYTORCH
 from model_compression_toolkit.gptq.common.gptq_config import GradientPTQConfigV2
 from model_compression_toolkit.target_platform_capabilities.target_platform import TargetPlatformCapabilities
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi import KPI
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.gptq.keras.quantization_facade import GPTQ_MOMENTUM
 from model_compression_toolkit.gptq.runner import gptq_runner
 from model_compression_toolkit.core.exporter import export_model
@@ -161,7 +162,7 @@ def pytorch_gradient_post_training_quantization_experimental(model: Module,
             Logger.info("Using experimental mixed-precision quantization. "
                                "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(DEFAULT_PYTORCH_INFO)
+        tb_w = init_tensorboard_writer(DEFAULT_PYTORCH_INFO)
 
         fw_impl = GPTQPytorchImplemantation()
 

model_compression_toolkit/legacy/keras_quantization_facade.py

@@ -15,6 +15,7 @@
 
 from typing import Callable, List, Tuple
 
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import TENSORFLOW
 from model_compression_toolkit.core.common.user_info import UserInformation
@@ -28,7 +29,7 @@
 from model_compression_toolkit.core.common.quantization.core_config import CoreConfig
 from model_compression_toolkit.core.common.quantization.debug_config import DebugConfig
 from model_compression_toolkit.core.common.quantization.quantization_config import DEFAULTCONFIG
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.gptq.runner import gptq_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 from model_compression_toolkit.core.exporter import export_model
@@ -114,7 +115,7 @@ def keras_post_training_quantization(in_model: Model,
                                                           network_editor=network_editor)
                                  )
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = KerasImplementation()
 
@@ -249,7 +250,7 @@ def keras_post_training_quantization_mixed_precision(in_model: Model,
                                                           network_editor=network_editor)
                                  )
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = KerasImplementation()
 

model_compression_toolkit/legacy/pytorch_quantization_facade.py

@@ -14,6 +14,7 @@
 # ==============================================================================
 from typing import Callable, List, Tuple
 
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import PYTORCH
 from model_compression_toolkit.core.common.user_info import UserInformation
@@ -28,7 +29,7 @@
     MixedPrecisionQuantizationConfig, DEFAULT_MIXEDPRECISION_CONFIG
 from model_compression_toolkit.core.common.quantization.quantization_config import QuantizationConfig
 from model_compression_toolkit.core.common.quantization.quantization_config import DEFAULTCONFIG
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.gptq.runner import gptq_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 from model_compression_toolkit.core.exporter import export_model
@@ -106,7 +107,7 @@ def pytorch_post_training_quantization(in_module: Module,
                                  debug_config=DebugConfig(analyze_similarity=analyze_similarity,
                                                           network_editor=network_editor))
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = PytorchImplementation()
 
@@ -235,7 +236,7 @@ def pytorch_post_training_quantization_mixed_precision(in_model: Module,
                                  debug_config=DebugConfig(analyze_similarity=analyze_similarity,
                                                           network_editor=network_editor))
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = PytorchImplementation()
 

model_compression_toolkit/ptq/keras/quantization_facade.py

@@ -17,14 +17,15 @@
 
 from model_compression_toolkit.core import CoreConfig
 from model_compression_toolkit.core.analyzer import analyzer_model_quantization
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import TENSORFLOW, FOUND_TF
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi import KPI
 from model_compression_toolkit.core.common.mixed_precision.mixed_precision_quantization_config import \
     MixedPrecisionQuantizationConfigV2
 from model_compression_toolkit.target_platform_capabilities.target_platform.targetplatform2framework import TargetPlatformCapabilities
 from model_compression_toolkit.core.exporter import export_model
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 
 if FOUND_TF:
@@ -130,7 +131,7 @@ def keras_post_training_quantization_experimental(in_model: Model,
             Logger.info("Using experimental mixed-precision quantization. "
                                "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = KerasImplementation()
 

model_compression_toolkit/ptq/pytorch/quantization_facade.py

@@ -15,14 +15,15 @@
 from typing import Callable
 
 from model_compression_toolkit.core import common
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import PYTORCH, FOUND_TORCH
 from model_compression_toolkit.target_platform_capabilities.target_platform import TargetPlatformCapabilities
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi import KPI
 from model_compression_toolkit.core import CoreConfig
 from model_compression_toolkit.core.common.mixed_precision.mixed_precision_quantization_config import \
     MixedPrecisionQuantizationConfigV2
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 from model_compression_toolkit.core.exporter import export_model
 from model_compression_toolkit.core.analyzer import analyzer_model_quantization
@@ -102,7 +103,7 @@ def pytorch_post_training_quantization_experimental(in_module: Module,
             Logger.info("Using experimental mixed-precision quantization. "
                                "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(DEFAULT_PYTORCH_INFO)
+        tb_w = init_tensorboard_writer(DEFAULT_PYTORCH_INFO)
 
         fw_impl = PytorchImplementation()
 

model_compression_toolkit/qat/keras/quantization_facade.py

@@ -17,6 +17,7 @@
 from functools import partial
 
 from model_compression_toolkit.core import CoreConfig
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.constants import FOUND_TF
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi import KPI
@@ -25,7 +26,7 @@
 from mct_quantizers import KerasActivationQuantizationHolder
 from model_compression_toolkit.trainable_infrastructure import KerasTrainableQuantizationWrapper
 from model_compression_toolkit.target_platform_capabilities.target_platform.targetplatform2framework import TargetPlatformCapabilities
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 
 if FOUND_TF:
@@ -177,7 +178,7 @@ def keras_quantization_aware_training_init(in_model: Model,
             Logger.info("Using experimental mixed-precision quantization. "
                                "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = KerasImplementation()
 

model_compression_toolkit/qat/pytorch/quantization_facade.py

@@ -20,14 +20,15 @@
 
 from model_compression_toolkit.core import CoreConfig
 from model_compression_toolkit.core import common
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.logger import Logger
 from model_compression_toolkit.core.common.framework_info import FrameworkInfo
 from model_compression_toolkit.core.common.mixed_precision.kpi_tools.kpi import KPI
 from model_compression_toolkit.core.common.mixed_precision.mixed_precision_quantization_config import \
     MixedPrecisionQuantizationConfigV2
 from model_compression_toolkit.target_platform_capabilities.target_platform.targetplatform2framework import \
     TargetPlatformCapabilities
-from model_compression_toolkit.core.runner import core_runner, _init_tensorboard_writer
+from model_compression_toolkit.core.runner import core_runner
 from model_compression_toolkit.ptq.runner import ptq_runner
 
 if FOUND_TORCH:
@@ -145,7 +146,7 @@ def pytorch_quantization_aware_training_init(in_model: Module,
             Logger.info("Using experimental mixed-precision quantization. "
                         "If you encounter an issue please file a bug.")
 
-        tb_w = _init_tensorboard_writer(fw_info)
+        tb_w = init_tensorboard_writer(fw_info)
 
         fw_impl = PytorchImplementation()
 

tests/common_tests/helpers/prep_graph_for_func_test.py

@@ -21,9 +21,9 @@
 from model_compression_toolkit.core.common.quantization.quantization_analyzer import analyzer_graph
 from model_compression_toolkit.core.common.quantization.quantization_params_generation.qparams_computation import \
     calculate_quantization_params
+from model_compression_toolkit.core.common.visualization.tensorboard_writer import init_tensorboard_writer
 from model_compression_toolkit.core.graph_prep_runner import graph_preparation_runner
 from model_compression_toolkit.core.quantization_prep_runner import quantization_preparation_runner
-from model_compression_toolkit.core.runner import _init_tensorboard_writer
 
 from model_compression_toolkit.target_platform_capabilities.tpc_models.imx500_tpc.latest import generate_tp_model, \
     get_op_quantization_configs
@@ -114,7 +114,7 @@ def prepare_graph_set_bit_widths(in_model,
                              debug_config=DebugConfig(analyze_similarity=analyze_similarity,
                                                       network_editor=network_editor))
 
-    tb_w = _init_tensorboard_writer(fw_info)
+    tb_w = init_tensorboard_writer(fw_info)
 
     # convert old representative dataset generation to a generator
     def _representative_data_gen():