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Results 1 - 3 of 3 for 1x1x1x256xf32 (0.25 sec)
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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// Unsupported strides %2 = "tf.MaxPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [1, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 3]} : (tensor<1x1x1x16xf32>) -> tensor<1x1x1x16xf32> %5 = arith.addf %0, %1 : tensor<1x1x1x16xf32> %6 = arith.addf %2, %5 : tensor<1x1x1x16xf32> func.return %6 : tensor<1x1x1x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
^bb0(%arg0: tensor<1x7x7x16xf32>): // expected-error @+1 {{requires attribute 'padding'}} %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", ksize = [1, 7, 7, 1], strides = [1, 1, 1, 1]} : (tensor<1x7x7x16xf32>) -> tensor<1x1x1x16xf32> func.return %0 : tensor<1x1x1x16xf32> } // ----- func.func @testAvgPoolWrongPadding(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/ops.mlir
// ----- func.func @testConv2D4DBias(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<1x1x1x16xf32>) -> tensor<256x32x32x16xf32> { ^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<1x1x1x16xf32>): // expected-error @+1 {{'tfl.conv_2d' op operand #2 must be 1D tensor of any type values or none type, but got 'tensor<1x1x1x16xf32>'}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)