本文整理汇总了Python中Data.n_blocks方法的典型用法代码示例。如果您正苦于以下问题：Python Data.n_blocks方法的具体用法？Python Data.n_blocks怎么用？Python Data.n_blocks使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Data的用法示例。
在下文中一共展示了Data.n_blocks方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: fill_files_buffer
# 需要导入模块: import Data [as 别名]
# 或者: from Data import n_blocks [as 别名]
def fill_files_buffer(self):
self.input_files = []
self.output_files = []
self.srcs = []
buffer_size = 0
index = 0
if self.file_index >= len(self.files_order):
raise StopIteration
# Fill the buffer
while buffer_size < self.max_buffer_size and self.file_index < len(self.files_order): ##TODO add size in bytes
# Get the output and output files
inp = self.dataset.get_input_file(self.files_order[self.file_index])
outp = self.dataset.get_output_values_file(self.files_order[self.file_index])
self.input_files.append(inp)
self.output_files.append(outp)
buffer_size += inp.shape[0] * inp.ctypes.strides[0]
buffer_size += outp.shape[0] * outp.ctypes.strides[0]
inp_src = inp.ctypes.data
outp_src = outp.ctypes.data
times = self.dataset.get_output_times_file(self.files_order[self.file_index])
if self.dataset.has_times:
i = 0
tb0 = 0.5 * (self.dataset.frame_duration + (self.n_frames - 1) * self.dataset.frame_time_shift)
time_step = self.dataset.frame_time_shift * self.frame_shift
for j in xrange(Data.n_blocks(inp.shape[0], self.n_frames, self.frame_shift)):
# Time for the center of the block of frames
t = tb0 + time_step * j
# i is the index in the label file corresponding to that time
while t > times[i][1] and i < len(times) - 1:
i += 1
outp_src += int(self.output_size)
self.srcs.append((inp_src, outp_src))
# Add an entry to the list of addresses
inp_src += int(self.frame_size * self.frame_shift)
else: # Has frame indexes instead of times
i = 0
# for j in xrange(1+self.n_frames//2, Data.n_blocks(inp.shape[0], self.n_frames, self.frame_shift)):
# while j > times[i][1] and i < len(times)-1:
for j in xrange(Data.n_blocks(inp.shape[0], self.n_frames, self.frame_shift)):
# while (self.n_frames//2 + j) > times[i][1] and i < len(times)-1:
while (self.n_frames // 2 + j) >= times[i][1] and i < len(times) - 1:
i += 1
outp_src += int(self.output_size)
self.srcs.append((inp_src, outp_src))
# Add an entry to the list of addresses
inp_src += int(self.frame_size * self.frame_shift)
# Next file and next buffer index
index += 1
self.file_index += 1
if self.shuffle:
random.shuffle(self.srcs)
self.srcs_index = 0示例2: next
# 需要导入模块: import Data [as 别名]
# 或者: from Data import n_blocks [as 别名]
def next(self):
if self.f_index >= self.dataset.get_n_files() or self.f_index > self.max_files:
raise StopIteration
else:
self.f_index += 1
f_number = self.file_order[self.f_index - 1]
acoustics_file = self.dataset.get_input_file(f_number)
acoustics = Data.expand_array_in_blocks(acoustics_file, self.dataset.n_frames, self.dataset.frame_shift)
if self.dataset.has_output():
i = 0
output = []
times = self.dataset.get_output_times_file(f_number)
labels = self.dataset.get_output_values_file(f_number)
for j in xrange(
Data.n_blocks(acoustics_file.shape[0], self.dataset.n_frames, self.dataset.frame_shift)
):
while (self.dataset.n_frames // 2 + j) >= times[i][1] and i < len(times) - 1:
i += 1
output.append(labels[i])
x = [acoustics, np.array(output)] # Get label for each t
else:
x = [acoustics]
if self.return_path:
x.append(self.dataset.get_file_path(f_number))
return tuple(x)