- Sort Score
- Result 10 results
- Languages All
Results 1 - 3 of 3 for 1x7x7x16xf32 (0.2 sec)
-
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.return %0 : tensor<1x1x1x16xf32> } // ----- func.func @testAvgPoolNoStrides(tensor<1x7x7x16xf32>) -> tensor<1x1x1x16xf32> { ^bb0(%arg0: tensor<1x7x7x16xf32>): // expected-error @+1 {{requires attribute 'strides'}} %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", ksize = [1, 7, 7, 1], padding = "VALID"} : (tensor<1x7x7x16xf32>) -> tensor<1x1x1x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// Unsupported strides %2 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [1, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 3]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> %5 = arith.addf %0, %1 : tensor<1x1x1x16xf32> %6 = arith.addf %2, %5 : tensor<1x1x1x16xf32> func.return %6 : tensor<1x1x1x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// ----- // test invalid MaxPool2D func.func @testMaxPool2DWrongOperandResultType(tensor<1x7x7x16xi32>) -> tensor<1x7x7x16xi32> { ^bb0(%arg0: tensor<1x7x7x16xi32>): // expected-error @+1 {{'tfl.max_pool_2d' op operand #0 must be tensor of 32-bit float or QUI8 type or QI8 type or QI16 type or TFLite quint8 type values, but got 'tensor<1x7x7x16xi32>'}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)