dlrm_data_caffe2.py [620:637]:
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    line_accesses, list_sd, cumm_sd, out_trace_len, enable_padding=False
):
    max_sd = list_sd[-1]
    l = len(line_accesses)
    i = 0
    ztrace = []
    for _ in range(out_trace_len):
        sd = generate_stack_distance(list_sd, cumm_sd, max_sd, i, enable_padding)
        mem_ref_within_line = 0  # floor(ra.rand(1)*cache_line_size) #0
        # generate memory reference
        if sd == 0:  # new reference #
            line_ref = line_accesses.pop(0)
            line_accesses.append(line_ref)
            mem_ref = np.uint64(line_ref * cache_line_size + mem_ref_within_line)
            i += 1
        else:  # existing reference #
            line_ref = line_accesses[l - sd]
            mem_ref = np.uint64(line_ref * cache_line_size + mem_ref_within_line)
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dlrm_data_pytorch.py [1096:1113]:
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    line_accesses, list_sd, cumm_sd, out_trace_len, enable_padding=False
):
    max_sd = list_sd[-1]
    l = len(line_accesses)  # !!!Unique,
    i = 0
    ztrace = []
    for _ in range(out_trace_len):
        sd = generate_stack_distance(list_sd, cumm_sd, max_sd, i, enable_padding)
        mem_ref_within_line = 0  # floor(ra.rand(1)*cache_line_size) #0
        # generate memory reference
        if sd == 0:  # new reference #
            line_ref = line_accesses.pop(0)
            line_accesses.append(line_ref)
            mem_ref = np.uint64(line_ref * cache_line_size + mem_ref_within_line)
            i += 1
        else:  # existing reference #
            line_ref = line_accesses[l - sd]
            mem_ref = np.uint64(line_ref * cache_line_size + mem_ref_within_line)
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