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Results 1 - 10 of 36 for conv4 (0.18 sec)
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test/typeparam/issue49027.dir/a.go
package a func Conv(v interface{}) string { return conv[string](v) } func conv[T any](v interface{}) T { return v.(T) } func Conv2(v interface{}) (string, bool) { return conv2[string](v) } func conv2[T any](v interface{}) (T, bool) { x, ok := v.(T) return x, ok } func Conv3(v interface{}) string { return conv3[string](v) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Oct 19 22:47:48 UTC 2021 - 871 bytes - Viewed (0) -
test/typeparam/issue49027.dir/main.go
"./a" "fmt" ) func main() { s := "foo" x := a.Conv(s) if x != s { panic(fmt.Sprintf("got %s wanted %s", x, s)) } y, ok := a.Conv2(s) if !ok { panic("conversion failed") } if y != s { panic(fmt.Sprintf("got %s wanted %s", y, s)) } z := a.Conv3(s) if z != s { panic(fmt.Sprintf("got %s wanted %s", z, s)) } w := a.Conv4(a.Mystring(s)) if w != a.Mystring(s) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Mar 24 02:14:15 UTC 2022 - 617 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nhwc.mlir
%arg2: tensor<256xf32>, // batch_norm args %arg3: tensor<7x7x3x64xf32>, // conv filter #0 %arg4: tensor<1x1x64x256xf32> // conv filter #1 ) -> tensor<?x256xf32> { // This is a simplified ResNet layer that gets input in NHWC format, converts
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/mnist_train.py
# output shape: [-1, 28, 28, 32] conv1 = gen_mnist_ops.new_conv2d(x, self.weights['f1'], self.biases['b1'], 1, 1, 1, 1, 'SAME', 'RELU') # Max pooling. The kernel size spec {ksize} also follows the layout of # the data. Here we have a pooling window of 2, and a stride of 2. # output shape: [-1, 14, 14, 32] max_pool1 = gen_mnist_ops.new_max_pool(conv1, 2, 2, 2, 2, 'SAME')
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 20 03:05:18 UTC 2021 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/optimize.td
def IsNull : Constraint<CPred<"!$0">>; // This pattern optimizes: // conv/dot_general + a + b -> conv/dot_general + (a + b) // conv/dot_general - a - b -> conv/dot_general - (a + b) // conv/dot_general + a - b -> conv/dot_general + (a - b) // conv/dot_general - a + b -> conv/dot_general - (a - b) foreach OpsTuple = [ [CHLO_BroadcastAddOp, CHLO_BroadcastAddOp, CHLO_BroadcastAddOp],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-conv.mlir
Michael Levesque-Dion <******@****.***> 1706075999 -0800
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 1.6K bytes - Viewed (0) -
src/main/assemblies/files/service.bat
set unit=%value:~-1% rem assume the unit is specified set conv=%value:~0,-1% if "%unit%" == "k" goto kilo if "%unit%" == "K" goto kilo if "%unit%" == "m" goto mega if "%unit%" == "M" goto mega if "%unit%" == "g" goto giga if "%unit%" == "G" goto giga rem no unit found, must be bytes; consider the whole value set conv=%value% rem convert to KB set /a conv=%conv% / 1024 :kilo rem convert to MB
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Sun Jan 15 06:32:15 UTC 2023 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/optimize_graph.mlir
// CHECK: %[[QUANT_ARG_0:.*]] = stablehlo.uniform_quantize %[[ARG_0]] // CHECK: %[[CONV:.*]] = stablehlo.convolution(%[[QUANT_ARG_0]], %[[QUANT_CST]]) // CHECK-NOT: stablehlo.uniform_quantize // CHECK: %[[DEQUANT:.*]] = stablehlo.uniform_dequantize %[[CONV]] // CHECK: return %[[DEQUANT]] %cst = stablehlo.constant dense<0.4> : tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/optimize.mlir
// CHECK-DAG: %[[cst:.*]] = "tf.Const{{.*}} dense<8.000000e+00> : tensor<3x3x3x16xf32> // CHECK-DAG: %[[cst_0:.*]] = "tf.Const{{.*}} dense<1.200000e+01> : tensor<16xf32> // CHECK-NEXT: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cst]]) // CHECK-NEXT: %[[bias:.*]] = "tf.AddV2"(%[[conv]], %[[cst_0]]) // CHECK-NEXT: return %[[bias]] : tensor<256x8x7x16xf32> } // CHECK-LABEL: convaddv2mul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/tf_to_quant_4bit.mlir
// CHECK: %[[DEQUANTIZE:.*]] = "quantfork.dcast"(%[[QUANTIZE]]) // CHECK: %[[CONV:.*]] = "tf.Conv2D"(%arg0, %[[DEQUANTIZE]]) // CHECK: return %[[CONV]] } // CHECK-LABEL: perChannelFakeQuantWithConv2D func.func @perChannelFakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) { ^bb0(%arg: tensor<256x32x32x3xf32>) :
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.4K bytes - Viewed (0)