lhutton1 commented on a change in pull request #9626:
URL: https://github.com/apache/tvm/pull/9626#discussion_r761254958
##########
File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
##########
@@ -1156,6 +1156,7 @@ def transform_module(
mod = LegalizeReshape()(mod)
mod = LegalizeStridedSlice()(mod)
mod = LegalizeNoOps()(mod)
+ print(mod)
Review comment:
Thanks! Will wait till CI is fixed :)
##########
File path: python/tvm/relay/backend/contrib/ethosu/tir_to_cs_translator.py
##########
@@ -277,27 +276,24 @@ def classify_io(buffer):
raise ValueError(f"Unused IO : {buffer} in tir module.")
scratch_size = 0
- constant_tensor = None
+ constant_hex_data = []
+ total_constant_len = 0
buffer_addresses = dict()
for _buffer, info in buffer_info.items():
if info.values is not None:
- assert np.dtype(info.dtype) == np.uint8
assert info.btype == BufferType.constant
assert len(info.shape) == 1
- if constant_tensor is None:
- buffer_addresses[_buffer] = (0, info.btype)
- assert info.values.dtype == np.uint8
- size_in_bytes = info.values.size
- # Every memory address the NPU access have to be 16 byte
aligned
- size_in_bytes = util.round_up(size_in_bytes, 16)
- constant_tensor = np.resize(info.values, size_in_bytes)
- else:
- buffer_addresses[_buffer] = (constant_tensor.size, info.btype)
- assert info.values.dtype == np.uint8
- size_in_bytes = info.values.size
- # Every memory address the NPU access have to be 16 byte
aligned
- size_in_bytes = util.round_up(size_in_bytes, 16)
- constant_tensor = np.append(constant_tensor,
np.resize(info.values, size_in_bytes))
+ buffer_addresses[_buffer] = (
+ (total_constant_len, info.btype) if constant_hex_data else (0,
info.btype)
+ )
+ dtype_bytes = np.iinfo(np.dtype(info.dtype)).bits // 8
+ size_in_bytes = dtype_bytes * np.prod(list(info.shape))
+ # Every memory address the NPU access have to be 16 byte aligned
+ size_in_bytes = util.round_up(size_in_bytes, 16)
+ constant_tensor = np.resize(info.values, size_in_bytes //
dtype_bytes)
+ constant_tensor = constant_tensor.tobytes().hex()
+ constant_hex_data.append(constant_tensor)
+ total_constant_len += len(constant_tensor) // 2
Review comment:
Each byte is represented by two hex values
##########
File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
##########
@@ -1040,7 +1040,7 @@ def callback(
n = int(filter_height * filter_width)
eps = 1 / (256 * (n + 1)) if n % 2 == 0 else 0
- scalar_tensor = relay.const(np.ones([1, 1, 1, 1], dtype="uint8"),
dtype="uint8")
+ scalar_tensor = relay.const(np.ones([1, 1, 1, 1], dtype="int16"),
dtype="int16")
Review comment:
Simply because the output of the depthwise convolution that comes before
is `int16`, this is just to match the datatype of the other input
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