Mousius commented on code in PR #12006: URL: https://github.com/apache/tvm/pull/12006#discussion_r918257011
########## tests/python/contrib/test_cmsisnn/test_conv2d.py: ########## @@ -540,6 +542,111 @@ def test_depthwise_int8( ) +@tvm.testing.requires_cmsisnn +@pytest.mark.parametrize("padding", ["SAME", "VALID"]) +@pytest.mark.parametrize("strides, dilation", [((1, 1), (1, 1))]) +@pytest.mark.parametrize("relu_type", ["RELU", "NONE"]) +@pytest.mark.parametrize("depth_multiplier", [1, 3]) +@pytest.mark.parametrize( + "input_zero_point, input_scale, kernel_scale", + [ + ( + 10, + 0.0128, + [0.11, 0.22], + ), + ( + -64, + 1, + [1, 0.0256, 1.37], + ), + ], +) +def test_relay_conv2d_cmsisnn_depthwise_int8( + padding, + strides, + dilation, + relu_type, + input_zero_point, + input_scale, + kernel_scale, + depth_multiplier, +): + """Tests QNN Depthwise int8 op via CMSIS-NN""" + interface_api = "c" + use_unpacked_api = True + test_runner = AOT_USMP_CORSTONE300_RUNNER + + dtype = "int8" + in_min, in_max = get_range_for_dtype_str(dtype) + + ifm_shape = (1, 24, 24, 1) + groups = ifm_shape[3] + weight_format = "HWIO" + (kernel_h, kernel_w) = (3, 3) + kernel_shape = (kernel_h, kernel_w, ifm_shape[3], depth_multiplier) + out_channels = ifm_shape[3] * depth_multiplier + enable_bias = True + ks_len = len(kernel_scale) + kernel_zero_point = 0 + kernel_scale = [kernel_scale[i % ks_len] for i in range(out_channels)] + + output_scale, output_zero_point = get_conv2d_qnn_params( + kernel_shape, + input_scale, + input_zero_point, + kernel_scale, + kernel_zero_point, + dtype, + dtype, + dtype, + True, + ) + + model, params = make_model( + ifm_shape, + kernel_shape, + input_zero_point, + input_scale, + kernel_zero_point, + kernel_scale, + output_zero_point, + output_scale, + padding, + strides, + dilation, + groups, + dtype, + dtype, + out_channels, + weight_format, + enable_bias, + relu_type, + ) + orig_mod = make_module(model) + cmsisnn_mod = cmsisnn.partition_for_cmsisnn(orig_mod, params) + + # validate pattern matching + assert_partitioned_function(orig_mod, cmsisnn_mod) Review Comment: Ahh gotcha :+1: -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@tvm.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org