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Results 41 - 50 of 75 for conv2 (0.26 sec)
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tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_gpu_cc_60.mlir
// cuDNN prefers NCHW data format for spatial convolutions in f16 before // compute capability 7.0 (NVIDIA Tensor Cores). // CHECK: "tf.Conv2D"(%[[INPUT_TRANSPOSE:[0-9]*]], %arg1) // CHECK-SAME: data_format = "NCHW" %0 = "tf.Conv2D"(%input, %filter) { data_format = "NHWC", padding = "VALID", strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 21 08:41:18 UTC 2022 - 5.8K bytes - Viewed (0) -
subprojects/diagnostics/src/test/groovy/org/gradle/api/tasks/diagnostics/BuildEnvironmentReportTaskTest.groovy
} def "renders only classpath build script configuration"() { given: project.buildscript.configurations.create("conf1") project.buildscript.configurations.create("conf2") when: task.setRenderer(renderer) task.generate() then: task.reportModel.get().configuration.name == "classpath" }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 29 22:32:34 UTC 2022 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
// CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[ARG1]], %[[ARG2]]) // CHECK-SAME: (tensor<1x3x4x3xf32>, tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<1x3x4x2xf32> // CHECK: return %[[CONV]] // ----- // Test that per-channel weight-only quantized dot_general op is produced when
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.golden_summary
ReadVariableOp 2 VarHandleOp 435 _Retval 2 cluster 0 size 2178 Add 17 AddN 72 ArgMax 1 AssignAddVariableOp 1 AssignSubVariableOp 106 BiasAdd 1 BiasAddGrad 1 Cast 3 Const 357 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 DivNoNan 1 Equal 1 FusedBatchNorm 53 FusedBatchNormGrad 53 Identity 2 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 164 Pad 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 740 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions_drq.mlir
// CHECK-NOT: func private @internal_matmul_fn // CHECK: func private @quantized_matmul_fn // CHECK-SAME: tf_quant.quantized_ops = ["MatMul"] // CHECK: func private @quantized_conv2d_fn // CHECK-SAME: tf_quant.quantized_ops = ["Conv2D"] // CHECK: func private @quantized_depthwise_conv2d_fn // CHECK-SAME: tf_quant.quantized_ops = ["DepthwiseConv2D"] // UQ-CHECK: func private @quantized_conv2d_fn // UQ-CHECK: func private @quantized_depthwise_conv2d_fn
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 01 12:06:54 UTC 2022 - 1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir
func.return %7 : tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>> // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %arg1, %arg2) // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 0.0078431372549019607:128>> // CHECK: %[[cst:.*]] = "tfl.pseudo_qconst"() // CHECK: %[[add:.*]] = tfl.add(%[[conv]], %[[cst]]) // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 1.000000e+00>> // CHECK: return %[[add]] }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
ReadVariableOp 2 Switch 1 _Arg 435 _Retval 2 cluster 0 size 1910 Add 16 AddN 71 ArgMax 1 AssignAddVariableOp 1 BiasAdd 1 BiasAddGrad 1 Cast 115 Const 407 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 Equal 1 FusedBatchNormGradV2 53 FusedBatchNormV2 53 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 218 Pad 2 ReadVariableOp 538
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/ivyservice/resolveengine/store/CachedStoreFactoryTest.groovy
def results2 = new Object() def store1 = factory.createCachedStore("conf1") def store1b = factory.createCachedStore("conf1") def store2 = factory.createCachedStore("conf2") expect: store1.load(() -> results1) == results1 store1.load(() -> { assert false }) == results1 store1b.load(() -> { assert false }) == results1
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Apr 16 15:49:50 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_functional_ops.mlir
// Verify unused if with functions without side-effects is removed. // CHECK-LABEL: main func.func @main(%arg0: tensor<3x15x14x3xf32>) -> tensor<3x15x14x8xf32> attributes {tf.entry_function = {inputs = "input", outputs = "Conv2D"}} { %cst = arith.constant dense<[0, 1, 2, 3]> : tensor<4xi32> %cst_0 = arith.constant dense<1.000000e+00> : tensor<f32> %cst_1 = arith.constant dense<0.000000e+00> : tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 30 10:34:48 UTC 2022 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_xla_weight_only.mlir
// Use identity op to avoid the filter being constant-folded. %identity = "tf.Identity"(%filter) : (tensor<*xi8>) -> tensor<*xi8> %2 = "tf.Cast"(%identity) {Truncate = false} : (tensor<*xi8>) -> tensor<*xf32> %3 = "tf.Conv2D"(%input, %2) { padding = "VALID", strides = [1, 1, 1, 1], attr_map = "strides:0,use_cudnn_on_gpu:1,padding:2,explicit_paddings:3,dilations:4" } : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 7K bytes - Viewed (0)