From 3cb06397636c82d518370b38494b45b97df560cb Mon Sep 17 00:00:00 2001
From: Elizabeth <hashim.sharif91@gmail.com>
Date: Sat, 16 Nov 2019 11:32:09 -0600
Subject: [PATCH] Added debug prints
---
.../src/driver_new_config_fp16_repl.py | 19 +++++++++++--------
1 file changed, 11 insertions(+), 8 deletions(-)
diff --git a/llvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py b/llvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
index ad60768cdd..28a883d160 100644
--- a/llvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
+++ b/llvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
@@ -220,6 +220,7 @@ class Driver:
op_type = layer_as_lst[i]
precision_type = layer_as_lst[i + 1]
op_number = layer_as_lst[i + 2]
+ print(' '.join(layer_as_lst[i : i + 3]))
approx_type = None
if line.find("fp16") != -1:
@@ -238,7 +239,7 @@ class Driver:
curr_layer = Driver.PrecisionTypes.FP32
quant_time, quant_energy = self.__quantize(precision_type, op_number, curr_layer, prev_layer, tensor_count, layer_table_data)
if quant_time != 0:
- assert i == 2 and layer_ind == 0
+ assert i == 2 #and layer_ind == 0
conv_time, conv_energy = self.__run_gpu_simulation(curr_layer, layer_name, \
tensor_count, approx_type, op_number)
layer_results.append((quant_time + conv_time, quant_energy + conv_energy, ' '.join(layer_as_lst[i : i + 3])))
@@ -262,9 +263,8 @@ class Driver:
layer_name = layer_table_data["Name"]
for tensor_ind, (op_time, op_energy, tensor_op) in enumerate(layer):
- # for each operation --> include quantization time
quant_time, quant_energy = 0,0
- if layer_ind == 0:
+ if layer_ind == 0: # force quantization
quant_time, quant_energy = self.__quantize("fp16", "1", Driver.PrecisionTypes.FP16, None, 0, layer_table_data)
print("FP16 QUANT: ", quant_time, quant_energy)
tensor_info = self.__tensor_table[layer_name][tensor_ind]
@@ -420,7 +420,7 @@ class Driver:
return curr_time, curr_energy
def get_final_times_energies_conf(curr_conf, curr_conf_name):
- print("_____________ NEW CONFIGURATION ___________")
+ #print("_____________ NEW CONFIGURATION ___________")
final_time = final_energy = 0
final_conf = [] # List (conf) of lists (layers) of tuples (operation data)
@@ -437,12 +437,15 @@ class Driver:
baseline_time = self.fp16_baseline[layer_ind][1][tensor_ind][0]
baseline_energy = self.fp16_baseline[layer_ind][1][tensor_ind][1]
baseline_op = self.fp16_baseline[layer_ind][1][tensor_ind][2]
- print(baseline_time, baseline_energy, baseline_op)
- print(op_time, tensor_op)
+ #print(baseline_time, baseline_energy, baseline_op)
+ #print(op_time, tensor_op)
final_tensor_op = tensor_op
#print(op_time > baseline_time)
if op_time > baseline_time:
print("**************** BIGGER ******************")
+ print(curr_conf_name)
+ print(baseline_time, baseline_energy, baseline_op)
+ print(op_time, tensor_op)
final_time += baseline_time
final_energy += baseline_energy
final_tensor_op = baseline_op
@@ -468,8 +471,8 @@ class Driver:
write_conf_to_file(conf_name, baseline_conf, 1, 1)
else:
curr_conf = self.__conf_results[conf_index] #conf_name]
- final_time, final_energy, = get_baseline_times_energies(curr_conf)
- #final_time, final_energy, curr_conf = get_final_times_energies_conf(curr_conf, conf_name)
+ #final_time, final_energy, = get_baseline_times_energies(curr_conf)
+ final_time, final_energy, curr_conf = get_final_times_energies_conf(curr_conf, conf_name)
write_conf_to_file(conf_name, curr_conf, baseline_total_time / final_time, baseline_total_energy / final_energy)
conf_index += 1
results_file.close()
--
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