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tensorflow/compiler/mlir/tensorflow/tests/fused_kernel_matcher.mlir
// CHECK-LABEL: conv2DBiasAdd_noActivation func.func @conv2DBiasAdd_noActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
// CHECK: "tfl.conv_2d"(%arg0, %arg1, %arg2) <{dilation_h_factor = 2 : i32, dilation_w_factor = 2 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 1 : i32, stride_w = 1 : i32}> : (tensor<1x112x80x128xf32>, tensor<128x3x3x128xf32>, tensor<128xf32>) -> tensor<1x108x76x128xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
%0:2 = "tfl.while"(%cst0, %cst1) ({ ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>): %cst_0 = arith.constant dense<0> : tensor<i32> %1 = "tfl.greater"(%arg2, %cst_0) : (tensor<*xi32>, tensor<i32>) -> tensor<i1> "tfl.yield"(%1) : (tensor<i1>) -> () }, { ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>): %1 = "tfl.sub"(%arg2, %arg0) {fused_activation_function = "NONE"} :
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
platforms/core-runtime/logging/src/test/groovy/org/gradle/internal/logging/slf4j/OutputEventListenerBackedLoggerTest.groovy
logger().trace(message, arg1, arg2) logger().trace(message, arg1, arg2, arg3) logger().trace((Marker) null, message) logger().trace((Marker) null, message, new Exception()) logger().trace((Marker) null, message, arg1) logger().trace((Marker) null, message, arg1, arg2) logger().trace((Marker) null, message, arg1, arg2, arg3) then:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Sep 22 09:05:18 UTC 2023 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/hoist_loop_invariant.mlir
%0:2 = "tf.WhileRegion"(%arg0, %arg1) ({ ^bb0(%arg2: tensor<i32>, %arg3: tensor<i32>): %1 = "tf.OpA"() {is_stateless = true} : () -> tensor<i1> "tf.Yield"(%1) : (tensor<i1>) -> () }, { ^bb0(%arg2: tensor<i32>, %arg3: tensor<i32>): %1 = "tf.GlobalIterId"() : () -> tensor<i64> "tf.Yield"(%arg2, %arg3) : (tensor<i32>, tensor<i32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 22 17:12:02 UTC 2023 - 14.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/fold-constants-to-subgraph.mlir
%0 = "tfl.slice"(%arg0, %arg1, %arg2) : (tensor<4x384x32xf32>, tensor<3xi32>, tensor<3xi32>) -> tensor<1x384x32xf32> func.return %0 : tensor<1x384x32xf32> } // PARTIAL-LABEL: @arg_reuse_test_2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 10.5K bytes - Viewed (0) -
platforms/core-runtime/logging/src/main/java/org/gradle/internal/logging/slf4j/DefaultContextAwareTaskLogger.java
log(logLevel, throwable, format, new Object[]{arg}); } private void log(LogLevel logLevel, Throwable throwable, String format, Object arg1, Object arg2) { log(logLevel, throwable, format, new Object[]{arg1, arg2}); } private void log(LogLevel logLevel, Throwable throwable, String format, Object[] args) { FormattingTuple tuple = MessageFormatter.arrayFormat(format, args);
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 13:09:37 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
func.func @otherVariantWhileBody(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<!tf_type.variant>) -> (tensor<i32>, tensor<i32>, tensor<i32>, tensor<!tf_type.variant>) { %0 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %1 = "tf.AddV2"(%arg2, %0) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
func.func @fakeQuantPerChannelForActivation(%arg0: tensor<8x4xf32>) -> (tensor<8x4xf32>) { %arg1 = arith.constant dense<[0.0, -1.0, 1.0, 0.0]> : tensor<4xf32> %arg2 = arith.constant dense<[255.0, 254.0, 256.0, 1.0e-9]> : tensor<4xf32> %0 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg0, %arg1, %arg2) {num_bits = 5, narrow_range = false} : (tensor<8x4xf32>, tensor<4xf32>, tensor<4xf32>) -> tensor<8x4xf32> func.return %0 : tensor<8x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir
func.func @fakeQuantPerChannelForActivation(%arg0: tensor<8x4xf32>) -> (tensor<8x4xf32>) { %arg1 = arith.constant dense<[0.0, -1.0, 1.0, 0.0]> : tensor<4xf32> %arg2 = arith.constant dense<[15.0, 14.0, 16.0, 1.0e-9]> : tensor<4xf32> %0 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg0, %arg1, %arg2) {num_bits = 3, narrow_range = false} : (tensor<8x4xf32>, tensor<4xf32>, tensor<4xf32>) -> tensor<8x4xf32> func.return %0 : tensor<8x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0)