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Results 11 - 20 of 22 for max_pool (0.61 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir
%0 = "quantfork.qcast"(%arg0) : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>> %1 = "quantfork.dcast"(%0) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>) -> tensor<*xf32> %2 = "tf.MaxPool"(%1) {data_format = "NHWC", device = "", explicit_paddings = [], ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 2, 2, 1]} : (tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
// CHECK: %[[maxpool:.*]] = "tf.MaxPool"(%[[conv_quant]]) <{data_format = "NHWC", ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 1, 1, 1]}> : (tensor<*xi8>) -> tensor<*xi8> // CHECK: %[[dequantize:.*]] = "tf.PartitionedCall"(%[[maxpool]] // CHECK-SAME: f = @dequantize_i8 // CHECK: return %[[dequantize]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// ----- // CHECK-LABEL: maxpool_explicit_padding func.func @maxpool_explicit_padding(%arg0: tensor<2x12x20x7xi32>) -> tensor<2x3x5x7xi32> { // CHECK: tf.MaxPool // TODO(b/165938852): need to support explicit padding in max_pool. %0 = "tf.MaxPool"(%arg0) {data_format = "NHWC", ksize = [1, 2, 2, 1], padding = "EXPLICIT", strides = [1, 4, 4, 1]} : (tensor<2x12x20x7xi32>) -> tensor<2x3x5x7xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
ConvertAvgPoolGradOp<TF::AvgPool3DGradOp, /*num_dims=*/5>; // Converts MaxPool op to HLO ReduceWindow op by setting appropriate window // dimensions with max as the reduction function. // // Sample result for VALID padding mode: // // %init = arith.constant dense<...> : tensor<i32> // %max_pool = "mhlo.reduce"(%inp, %init) ["mhlo.maximum"]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/ops_defs.py
def _composite_max_pool(input_, stride_w, stride_h, filter_width, filter_height, padding): ksize = [1, filter_width, filter_height, 1] strides = [1, stride_w, stride_h, 1] return tf.raw_ops.MaxPool( input=input_, ksize=ksize, strides=strides, padding=padding) @tf.RegisterGradient('NewMaxPool') def _max_pool_grad(op: ops.Operation, grad): filter_width = op.get_attr('filter_width')
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 31 20:23:51 UTC 2023 - 6.8K bytes - Viewed (0) -
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)