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[CI][Fix] Remove additional qnn.op.transpose_conv2d from docs #10083

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Merged
junrushao merged 1 commit into from
Jan 27, 2022
Merged

[CI][Fix] Remove additional qnn.op.transpose_conv2d from docs #10083

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1 change: 0 additions & 1 deletion docs/reference/langref/relay_op.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -245,4 +245,3 @@ This level supports dialect operators.
tvm.relay.qnn.op.simulated_dequantize
tvm.relay.qnn.op.simulated_quantize
tvm.relay.qnn.op.subtract
tvm.relay.qnn.op.transpose_conv2d
2 changes: 1 addition & 1 deletion python/tvm/relay/op/strategy/generic.py
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Expand Up @@ -482,7 +482,7 @@ def conv2d_transpose_strategy(attrs, inputs, out_type, target):
wrap_topi_schedule(topi.generic.schedule_conv2d_transpose_nchw),
name="conv2d_transpose_nchw.generic",
)
else: # group_transpose_conv2d
else: # group_conv2d_transpose
strategy.add_implementation(
wrap_compute_conv2d_transpose(topi.nn.group_conv2d_transpose_nchw, has_groups=True),
wrap_topi_schedule(topi.generic.schedule_group_conv2d_transpose_nchw),
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4 changes: 2 additions & 2 deletions python/tvm/relay/qnn/op/qnn.py
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Expand Up @@ -527,8 +527,8 @@ def conv2d_transpose(
kernel_scale: tvm.relay.Expr
The scale for the weight tensor. The scale for the weight tensor is
stored for access to this during relay. This information is not
needed in the pass pipeline after qnn.transpose_conv2d is lowered to the
sequence of steps as in nn.transpose_conv2d. See also input_scale in Requantize.
needed in the pass pipeline after qnn.conv2d_transpose is lowered to the
sequence of steps as in nn.conv2d_transpose. See also input_scale in Requantize.

strides : Tuple[int], optional
The strides of convolution.
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