Hi NV,

environment: tensorRT 7, cuda10.0, tensorflow 1.13.2

I tried to slice the channel out. But I got this error during uffparser. So how to solve this bug? Thanks!

The snippet code of tensorflow:

net_1 = net[:,:,:,0]

net_2 = net[:,:,:,1]

net_3 = net[:,:,:,2]

theta = tf.nn.sigmoid(net_1) * 3.1415926535 / 6

phi = tf.nn.sigmoid(net_2) * 3.1415926535 * 2

dist = tf.nn.sigmoid(net_3) * self.max_depth

n1_mul = tf.multiply(tf.math.sin(theta), tf.math.cos(phi))

n2_mul = tf.multiply(tf.math.sin(theta), tf.math.sin(phi))

n3_mul = tf.math.cos(theta)

[TensorRT] VERBOSE: UFFParser: Parsing model/decoder/Conv_19/BiasAdd[Op: Binary]. Inputs: model/decoder/Conv_19/Conv2D, model/decoder/Conv_19/biases

[TensorRT] VERBOSE: UFFParser: model/decoder/Conv_19/BiasAdd -> [3,44,152]

[TensorRT] VERBOSE: UFFParser: Applying order forwarding to: model/decoder/Conv_19/BiasAdd

[TensorRT] VERBOSE: UFFParser: Parsing model/decoder/strided_slice_4/stack[Op: Const].

[TensorRT] VERBOSE: UFFParser: model/decoder/strided_slice_4/stack -> [4]

[TensorRT] VERBOSE: UFFParser: Applying order forwarding to: model/decoder/strided_slice_4/stack

[TensorRT] VERBOSE: UFFParser: Parsing model/decoder/strided_slice_4/stack_1[Op: Const].

[TensorRT] VERBOSE: UFFParser: model/decoder/strided_slice_4/stack_1 -> [4]

[TensorRT] VERBOSE: UFFParser: Applying order forwarding to: model/decoder/strided_slice_4/stack_1

[TensorRT] VERBOSE: UFFParser: Parsing model/decoder/strided_slice_4/stack_2[Op: Const].

[TensorRT] VERBOSE: UFFParser: model/decoder/strided_slice_4/stack_2 -> [4]

[TensorRT] VERBOSE: UFFParser: Applying order forwarding to: model/decoder/strided_slice_4/stack_2

[TensorRT] VERBOSE: UFFParser: Parsing model/decoder/strided_slice_4[Op: StridedSlice]. Inputs: model/decoder/Conv_19/BiasAdd, model/decoder/strided_slice_4/stack, model/decoder/strided_slice_4/stack_1, model/decoder/strided_slice_4/stack_2

[TensorRT] ERROR: UffParser: Parser error: model/decoder/strided_slice_4: StridedSlice does not support axis shrinking unless with Constant input node for now