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Results 1 - 10 of 35 for Squeeze (0.12 sec)
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tensorflow/compiler/mlir/lite/tests/dilated-conv.mlir
// CHECK-NEXT: [[SQUEEZE:%.*]] = "tf.Squeeze"([[CONV]]) <{squeeze_dims = [3]}> : (tensor<1x128x128x1xf32>) -> tensor<1x128x128xf32> // CHECK-NEXT: [[RESULT:%.*]] = "tf.BiasAdd"([[SQUEEZE]], [[BIAS]]) : (tensor<1x128x128xf32>, tensor<128xf32>) -> tensor<1x128x128xf32> // CHECK-NEXT: return [[RESULT]] : tensor<1x128x128xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 44.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/dilated_conv.h
// extra ops are used, so we detect the following patterns: // // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BatchToSpaceND -> BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> Pad -> BatchToSpaceND -> // BiasAdd // // SpaceToBatchND -> Expand -> Conv2D -> Squeeze -> BiasAdd -> BatchToSpaceND // // SpaceToBatchND -> Conv2D -> Pad -> BatchToSpaceND -> BiasAdd //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.cc
int num_cols = tensorType.getShape()[rank - 1]; std::vector<Value> sliced; if (batch_size == 1) { // Batch size is 1, no splitting is required // Squeeze the batch dimension, i.e. reshape // [1, num_rows, num_cols] -> [num_rows, num_cols] auto reshape_op = createReshapeOp(value, {num_rows, num_cols}, element_type, loc, rewriter);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
%0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32> // CHECK: return %arg0 func.return %0 : tensor<?x?xf32> } // ----- // CHECK-LABEL: @squeeze_folder func.func @squeeze_folder(%arg0 : tensor<?x?xf32>) -> tensor<*xf32> { %0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<*xf32> // CHECK: "tfl.squeeze" func.return %0 : tensor<*xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
src/runtime/map_fast64.go
continue } // Only clear key if there are pointers in it. if t.Key.Pointers() { if goarch.PtrSize == 8 { *(*unsafe.Pointer)(k) = nil } else { // There are three ways to squeeze at one or more 32 bit pointers into 64 bits. // Just call memclrHasPointers instead of trying to handle all cases here. memclrHasPointers(k, 8) } }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:17:26 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/cc/gradients/array_grad.cc
auto input_shape = Shape(scope, op.input(0)); grad_outputs->push_back(Reshape(scope, grad_inputs[0], input_shape)); return scope.status(); } REGISTER_GRADIENT_OP("Squeeze", SqueezeGrad); Status TransposeGrad(const Scope& scope, const Operation& op, const std::vector<Output>& grad_inputs, std::vector<Output>* grad_outputs) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 31.7K bytes - Viewed (0) -
src/net/conf_test.go
hostTests: []nssHostTest{ {"x.com", "myhostname", hostLookupFilesDNS}, {"somehostname", "myhostname", hostLookupFilesDNS}, {"myhostname", "myhostname", hostLookupCgo}, }, }, // Debian Squeeze is just "dns,files", but lists all // the default criteria for dns, but then has a // non-standard but redundant notfound=return for the // files. { name: "debian_squeeze", c: &conf{},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Feb 26 20:46:36 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
%0 = "tf.Squeeze"(%arg0) : (tensor<1x2x2xf32>) -> tensor<2x2xf32> func.return %0 : tensor<2x2xf32> // CHECK-LABEL:squeezeDefault // CHECK: "tfl.squeeze"(%arg0) <{squeeze_dims = []}> : (tensor<1x2x2xf32>) -> tensor<2x2xf32> } func.func @squeezeSingleAxis(%arg0: tensor<2x1x2xf32>) -> tensor<2x2xf32> { %0 = "tf.Squeeze"(%arg0) {squeeze_dims = [1]} : (tensor<2x1x2xf32>) -> tensor<2x2xf32>
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/tfrt/tests/mlrt/while_to_map_fn.mlir
%outputs_20 = "tf.ResizeBilinear"(%outputs_18, %outputs) {align_corners = false, device = "", half_pixel_centers = false} : (tensor<1x?x?x3xui8>, tensor<2xi32>) -> tensor<1x224x224x3xf32> %outputs_22 = "tf.Squeeze"(%outputs_20) {device = "", squeeze_dims = [0]} : (tensor<1x224x224x3xf32>) -> tensor<224x224x3xf32> %outputs_24 = "tf.Cast"(%outputs_22) {Truncate = false, device = ""} : (tensor<224x224x3xf32>) -> tensor<224x224x3xui8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0)