ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942615935
##########
tests/python/contrib/test_cmsisnn/test_conv2d.py:
##########
@@ -403,6 +401,109 @@ def test_conv2d_asymmetric_padding_int8(
)
[email protected]_cmsisnn
[email protected]("ifm_shape", [(1, 25, 25, 12), (1, 64, 100, 4)])
[email protected](
+ "pad_width",
+ [
+ ((0, 0), (0, 1), (1, 2), (0, 0)),
+ ((0, 0), (1, 1), (1, 1), (0, 0)),
+ ((0, 0), (2, 2), (3, 4), (0, 0)),
+ ],
+)
+def test_conv2d_separate_padding_int8(
+ ifm_shape,
+ pad_width,
+):
+ """Tests QNN Conv2D where the padding is asymmetric on different sides of
input"""
+ interface_api = "c"
+ use_unpacked_api = True
+ test_runner = AOT_USMP_CORSTONE300_RUNNER
+
+ ifm_shape = (1, 25, 25, 12)
+ kernel_size = (5, 5)
+ strides = (2, 2)
+ dilation = (1, 1)
+ padding = "SAME"
+ dtype = "int8"
+ enable_bias = True
+ relu_type = "NONE"
+ input_zero_point = 10
+ input_scale = 0.0128
+ kernel_scale = [0.11, 0.22]
+ out_channels = 2
+ groups = 1
+ weight_format = "HWIO"
+ kernel_h = kernel_size[0]
+ kernel_w = kernel_size[1]
+ kernel_shape = (kernel_h, kernel_w, ifm_shape[3] // groups, out_channels)
+ kernel_zero_point = 0
+ in_min, in_max = get_range_for_dtype_str(dtype)
+
+ output_scale, output_zero_point = get_conv2d_qnn_params(
+ kernel_shape,
+ input_scale,
+ input_zero_point,
+ kernel_scale,
+ kernel_zero_point,
+ dtype,
Review Comment:
ACK
##########
tests/python/contrib/test_cmsisnn/test_conv2d.py:
##########
@@ -403,6 +401,109 @@ def test_conv2d_asymmetric_padding_int8(
)
[email protected]_cmsisnn
[email protected]("ifm_shape", [(1, 25, 25, 12), (1, 64, 100, 4)])
[email protected](
+ "pad_width",
+ [
+ ((0, 0), (0, 1), (1, 2), (0, 0)),
+ ((0, 0), (1, 1), (1, 1), (0, 0)),
+ ((0, 0), (2, 2), (3, 4), (0, 0)),
+ ],
+)
+def test_conv2d_separate_padding_int8(
+ ifm_shape,
+ pad_width,
+):
+ """Tests QNN Conv2D where the padding is asymmetric on different sides of
input"""
+ interface_api = "c"
+ use_unpacked_api = True
+ test_runner = AOT_USMP_CORSTONE300_RUNNER
+
+ ifm_shape = (1, 25, 25, 12)
+ kernel_size = (5, 5)
+ strides = (2, 2)
+ dilation = (1, 1)
+ padding = "SAME"
+ dtype = "int8"
+ enable_bias = True
+ relu_type = "NONE"
+ input_zero_point = 10
+ input_scale = 0.0128
+ kernel_scale = [0.11, 0.22]
+ out_channels = 2
+ groups = 1
+ weight_format = "HWIO"
+ kernel_h = kernel_size[0]
+ kernel_w = kernel_size[1]
+ kernel_shape = (kernel_h, kernel_w, ifm_shape[3] // groups, out_channels)
+ kernel_zero_point = 0
+ in_min, in_max = get_range_for_dtype_str(dtype)
+
+ output_scale, output_zero_point = get_conv2d_qnn_params(
+ kernel_shape,
+ input_scale,
+ input_zero_point,
+ kernel_scale,
+ kernel_zero_point,
+ dtype,
+ dtype,
Review Comment:
ACK
##########
tests/python/contrib/test_cmsisnn/test_conv2d.py:
##########
@@ -403,6 +401,109 @@ def test_conv2d_asymmetric_padding_int8(
)
[email protected]_cmsisnn
[email protected]("ifm_shape", [(1, 25, 25, 12), (1, 64, 100, 4)])
[email protected](
+ "pad_width",
+ [
+ ((0, 0), (0, 1), (1, 2), (0, 0)),
+ ((0, 0), (1, 1), (1, 1), (0, 0)),
+ ((0, 0), (2, 2), (3, 4), (0, 0)),
+ ],
+)
+def test_conv2d_separate_padding_int8(
+ ifm_shape,
+ pad_width,
+):
+ """Tests QNN Conv2D where the padding is asymmetric on different sides of
input"""
+ interface_api = "c"
+ use_unpacked_api = True
+ test_runner = AOT_USMP_CORSTONE300_RUNNER
+
+ ifm_shape = (1, 25, 25, 12)
+ kernel_size = (5, 5)
+ strides = (2, 2)
+ dilation = (1, 1)
+ padding = "SAME"
+ dtype = "int8"
+ enable_bias = True
+ relu_type = "NONE"
+ input_zero_point = 10
+ input_scale = 0.0128
+ kernel_scale = [0.11, 0.22]
+ out_channels = 2
+ groups = 1
+ weight_format = "HWIO"
+ kernel_h = kernel_size[0]
+ kernel_w = kernel_size[1]
+ kernel_shape = (kernel_h, kernel_w, ifm_shape[3] // groups, out_channels)
+ kernel_zero_point = 0
+ in_min, in_max = get_range_for_dtype_str(dtype)
+
+ output_scale, output_zero_point = get_conv2d_qnn_params(
+ kernel_shape,
+ input_scale,
+ input_zero_point,
+ kernel_scale,
+ kernel_zero_point,
+ dtype,
+ dtype,
+ dtype,
Review Comment:
ACK
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