[Injective Schedule] make injective ops's opt schedule applied to every output tensor

[crazydemo]

Modify the schedule for injective ops. All outputs of injective ops should share the same schedule optimization, e.g. outputs of OP split are all supposed to be lowered into parallel for.

new ir:
IRModule({GlobalVar(tvmgen_default_fused_split): PrimFunc([placeholder, T_split_sections, T_split_sections]) attrs={"from_legacy_te_schedule": (bool)1, "global_symbol": "tvmgen_default_fused_split", "tir.noalias": (bool)1} {
  buffer_realize T_split_sections([0, 1], [0, 64], [0, 56], [0, 56]) {
    parallel (ax0.ax1.fused, 0, 64) {
      for (ax2, 0, 56) {
        for (ax3.outer, 0, 4) {
          vectorized (ax3.inner, 0, 16) {
            if (tir.likely(((ax3.inner + (ax3.outer*16)) < 56))) {
              T_split_sections[floordiv(ax0.ax1.fused, 64), floormod(ax0.ax1.fused, 64), ax2, (ax3.inner + (ax3.outer*16))] = placeholder[floordiv(ax0.ax1.fused, 64), floormod(ax0.ax1.fused, 64), ax2, (ax3.inner + (ax3.outer*16))]
            }
          }
        }
      }
    }
    buffer_realize T_split_sections([0, 1], [0, 64], [0, 56], [0, 56]) {
      parallel (ax0.ax1.fused, 0, 64) {
        for (ax2, 0, 56) {
          for (ax3.outer, 0, 4) {
            vectorized (ax3.inner, 0, 16) {
              if (tir.likely(((ax3.inner + (ax3.outer*16)) < 56))) {
                T_split_sections[floordiv(ax0.ax1.fused, 64), floormod(ax0.ax1.fused, 64), ax2, (ax3.inner + (ax3.outer*16))] = placeholder[floordiv(ax0.ax1.fused, 64), (floormod(ax0.ax1.fused, 64) + 64), ax2, (ax3.inner + (ax3.outer*16))]
              }
            }
          }
        }
      }
    }
  }
}
})

old ir:
IRModule({GlobalVar(tvmgen_default_fused_split): PrimFunc([placeholder, T_split_sections, T_split_sections]) attrs={"from_legacy_te_schedule": (bool)1, "global_symbol": "tvmgen_default_fused_split", "tir.noalias": (bool)1} {
  buffer_realize T_split_sections([0, 1], [0, 64], [0, 56], [0, 56]) {
    parallel (ax0.ax1.fused, 0, 64) {
      for (ax2, 0, 56) {
        for (ax3.outer, 0, 4) {
          vectorized (ax3.inner, 0, 16) {
            if (tir.likely(((ax3.inner + (ax3.outer*16)) < 56))) {
              T_split_sections[floordiv(ax0.ax1.fused, 64), floormod(ax0.ax1.fused, 64), ax2, (ax3.inner + (ax3.outer*16))] = placeholder[floordiv(ax0.ax1.fused, 64), floormod(ax0.ax1.fused, 64), ax2, (ax3.inner + (ax3.outer*16))]
            }
          }
        }
      }
    }
    buffer_realize T_split_sections([0, 1], [0, 64], [0, 56], [0, 56]) {
      for (ax1, 0, 64) {
        for (ax2, 0, 56) {
          for (ax3, 0, 56) {
            T_split_sections[0, ax1, ax2, ax3] = placeholder[0, (ax1 + 64), ax2, ax3]
          }
        }
      }
    }
  }
}
})

[crazydemo]

@masahi Could you please help review this PR?