Lines Matching full:if
57 # Check if test is valid, skip otherwise
58 if (params["interpreter"] == "tflite_runtime") and (not tflite_runtime_imported):
61 if (params["interpreter"] == "tflite_micro") and (not tflite_micro_imported):
75 if params["tflite_generator"] == "keras":
84 if "bias_data_type" in params:
120 …minval = Lib.op_utils.get_dtype_min(params["input_data_type"]) if "input_min" not in params else p…
121 …maxval = Lib.op_utils.get_dtype_max(params["input_data_type"]) if "input_max" not in params else p…
128 if "input_tensor" in shape_name:
129 if shape_name in data.tensors:
135 if not input_tensors:
138 if params["interpreter"] == "tensorflow":
143 if "arena_size" in params:
150 if "activation_min" in params:
152 if "activation_max" in params:
166 config_params = {key: val for key, val in params.items() if include_in_config(key)}
172 if name == "output" and "out_activation_min" in params and "out_activation_max" in params:
176 if name in data.aliases:
181 if op_type_string == "lstm":
191 if op_type_string == "pad":
208 if quantize:
210 if shape.get("different_in_shapes") is True:
228 if dtype == "int8_t":
231 if bias_dtype == "int32_t":
294 if isinstance(val, list):
300 if isinstance(val, bool):
301 if val:
320 size = 0 if data is None else data.size
322 if len(values) < size / 2 or max(counts) > size / 2:
324 if size and len(data) > 500:
331 if size > 0:
339 if i % data_shape[-1] == 0:
343 if len(data) - 1 % data_shape[-1] == 0:
368 if process.returncode != 0:
399 if key in line_list:
400 if isinstance(val, bool):
401 if val:
413 if key in line:
430 if not replaced:
438 if process.returncode != 0:
453 if generator == "keras":
464 if process.returncode != 0:
473 if interpreter == "tensorflow":