lhutton1 commented on a change in pull request #9508:
URL: https://github.com/apache/tvm/pull/9508#discussion_r756916762
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File path: tests/python/contrib/test_ethosu/test_codegen.py
##########
@@ -48,123 +47,184 @@ def get_shape_expr(in_expr, out_expr):
return shape
[email protected](
- "accel_type",
- ACCEL_TYPES,
-)
-def test_ethosu_conv2d(accel_type):
- def create_graph_single(input_tensor_name, input_tensor_shape,
input_tensor_dtype):
- c1_params = relay_ir_builder.QnnConv2DParams(input_tensor_dtype)
- c1_params.ifm.shape = input_tensor_shape
- c1_params.kernel.shape = (3, 3, c1_params.ifm.shape[3], 32)
- c1_params.kernel.sc = relay.const(np.random.rand(32) * 2, "float32")
- c1_params.strides = (1, 1)
- c1_params.pad = "VALID"
- c1_params.update_output_qnn_params(
- input_tensor_dtype, input_tensor_dtype, input_tensor_dtype
- )
- input0 = relay.var(input_tensor_name, shape=c1_params.ifm.shape,
dtype=c1_params.ifm.dtype)
- c1, new_params = relay_ir_builder.create_qnn_conv2d(c1_params, input0)
- c1_params.ofm.shape = get_shape_expr(input0, c1)
[email protected]("ifm_shape", [(1, 299, 299, 3), (1, 55, 55, 3)])
[email protected]("kernel_shape", [(3, 2), (1, 3)])
[email protected]("strides, dilation", [((1, 1), (2, 1)), ((3, 2), (1,
1))])
[email protected]("padding", ["SAME", "VALID"])
[email protected]("accel_type", ACCEL_TYPES)
[email protected]("activation", None, "relu")
Review comment:
Nit: Lets use `"RELU"` to be consistent with other tests
##########
File path: tests/python/contrib/test_ethosu/test_legalize.py
##########
@@ -221,135 +221,135 @@ def get_shape_expr(in_expr, out_expr):
return shape
+def compute_ofm_shape(ifm_shape, padding, kernel_shape, strides, dilation):
+ if padding.lower() == "valid":
+ h = math.ceil((ifm_shape[1] - (kernel_shape[0] - 1) * dilation[0]) /
strides[0])
+ w = math.ceil((ifm_shape[2] - (kernel_shape[1] - 1) * dilation[1]) /
strides[1])
+ if padding.lower() == "same":
+ h = math.ceil(ifm_shape[1] / strides[0])
+ w = math.ceil(ifm_shape[2] / strides[1])
+ ofm_shape = [ifm_shape[0], h, w, kernel_shape[3]]
+ return ofm_shape
Review comment:
Just wondering if there was a reason the function in `infra.py` didn't
work?
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