- Sort Score
- Result 10 results
- Languages All
Results 21 - 27 of 27 for max_pool (0.24 sec)
-
tensorflow/compiler/mlir/tfr/tests/decompose.mlir
%explicit_paddings = tfr.constant [] -> !tfr.attr %data_format = tfr.constant "NHWC" -> !tfr.attr %MaxPool = tfr.call @tf__max_pool(%input_, %stride, %filter, %padding, %explicit_paddings, %data_format) : (!tfr.tensor, !tfr.attr, !tfr.attr, !tfr.attr, !tfr.attr, !tfr.attr) -> (!tfr.tensor) tfr.return %MaxPool : !tfr.tensor // CHECK: tf__max_pool } // CHECK-LABEL: @tf__cast_float
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 16.7K bytes - Viewed (0) -
pkg/proxy/winkernel/hns_test.go
if err != nil { t.Error(err) } } func createTestNetwork() (*hcn.HostComputeNetwork, error) { network := &hcn.HostComputeNetwork{ Type: NETWORK_TYPE_OVERLAY, Name: "TestOverlay", MacPool: hcn.MacPool{ Ranges: []hcn.MacRange{ { StartMacAddress: "00-15-5D-52-C0-00", EndMacAddress: "00-15-5D-52-CF-FF", }, }, }, Ipams: []hcn.Ipam{ { Type: "Static",
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Apr 25 14:24:16 UTC 2024 - 15.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: %1 = "tf.MaxPool"(%arg0) // CHECK: %2 = "tf.MaxPool"(%arg0) } func.func @maxPool2DChannelFirst(%arg0: tensor<1x16x6x6xf32>) -> tensor<1x16x1x1xf32> { // OK
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/jit/flags.cc
" RED: All reduction operations." " MISC: Mixed operations." " PWRED: TF operations that get converted to PW+RED operation in XLA." " REDUCEWINDOW: TF operations like MaxPool/AvgPool that get " "converted to ReduceWindow in XLA." " REDUCEWINDOWPW: Operation that get converted to ReduceWindow + PW " "(LRN, LRNGrad)." " BN: TF FusedBatchNorm* operations."
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 24.5K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"MatrixDiagV3", "MatrixInverse", "MatrixSetDiag", "MatrixSetDiagV2", "MatrixSetDiagV3", "MatrixSolve", "MatrixTriangularSolve", "MaxPool", "MaxPool3D", "MaxPool3DGrad", "MaxPool3DGradGrad", "MaxPoolGrad", "MaxPoolGradGrad", "MaxPoolGradGradV2", "MaxPoolGradV2", "MaxPoolV2",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
RELEASE.md
* Fixes a `CHECK` fail in `tf.linalg.matrix_rank` ([CVE-2022-35988](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35988)) * Fixes a `CHECK` fail in `MaxPool` ([CVE-2022-35989](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35989)) * Fixes a `CHECK` fail in `Conv2DBackpropInput` ([CVE-2022-35999](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35999))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
} // CHECK-LABEL: func @convert_maxpool_valid( // CHECK-SAME: %[[VAL_0:.*]]: tensor<4x16x16x8xf32>) -> tensor<4x7x7x8xf32> { // CHECK: %[[VAL_1:.*]] = "tf.MaxPool"(%[[VAL_0]]) <{data_format = "NHWC", explicit_paddings = [], ksize = [1, 3, 3, 1], padding = "VALID", strides = [1, 2, 2, 1]}> : (tensor<4x16x16x8xf32>) -> tensor<4x7x7x8xf32> // CHECK: return %[[VAL_1]] : tensor<4x7x7x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)