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Results 1 - 10 of 10 for 4x4xf16 (0.2 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
func.return %0 : tensor<4xcomplex<f64>> } func.func @f16() -> tensor<4xf16> { // CHECK-LABEL: @f16 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf16> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf16> } : () -> tensor<4xf16> func.return %0 : tensor<4xf16> } func.func @f32() -> tensor<4xf32> { // CHECK-LABEL: @f32
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
%8 = "tfl.mul"(%2, %3) {fused_activation_function = "NONE"} : (tensor<4xbf16>, tensor<4xbf16>) -> tensor<4xbf16> func.return %5, %6, %7, %8 : tensor<bf16>, tensor<4xbf16>, tensor<4xbf16>, tensor<4xbf16> } // CHECK-LABEL: @mul_f16 func.func @mul_f16() -> (tensor<f16>, tensor<4xf16>, tensor<4xf16>, tensor<4xf16>) { %0 = arith.constant dense<4.5> : tensor<f16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
func.return %0 : tensor<4xcomplex<f64>> } func.func @f16() -> tensor<4xf16> { // CHECK-LABEL: @f16 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf16> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf16> } : () -> tensor<4xf16> func.return %0 : tensor<4xf16> } func.func @f32() -> tensor<4xf32> { // CHECK-LABEL: @f32
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
exactly func.func @main(%arg0: tensor<1x4xf32>, %arg1: tensor<4x4xf32>, %arg2: tensor<4x4xf32>, %arg3: tensor<4x4xf32>, %arg4: tensor<4x4xf32>, %arg5: tensor<4x4xf32>, %arg6: tensor<4x4xf32>, %arg7: tensor<4x4xf32>, %arg8: tensor<4x4xf32>, %arg9: tensor<4xf32>, %arg10: tensor<4xf32>, %arg11: tensor<4xf32>, %arg12: tensor<1x4xf32>, %arg13: tensor<4xf32>, %arg14: tensor<4xf32>, %arg15: tensor<4xf32>, %arg16: tensor<4x4xf32>, %arg17: tensor<4xf32>, %arg18: tensor<4xf32>, %arg19: tensor<4xf32>,...
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/tf2xla/transforms/tf2xla_rewriter_test.cc
return %0 : tensor<1x?x4xbf16> } })"; TF_ASSERT_OK(LegalizeModule(kModuleWithNonConstParam)); } TEST_F(Tf2XlaRewriterTest, ErrorsWithInvalidNumberOfParametersToArgs) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
// Float16-DAG: %[[b:.*]] = arith.constant dense<-1.237300e+00> : tensor<64xf16> // Float16: %[[dq_w:.*]] = "tfl.dequantize"(%[[w]]) : (tensor<64x3x3x3xf16>) -> tensor<64x3x3x3xf32> // Float16: %[[dq_b:.*]] = "tfl.dequantize"(%[[b]]) : (tensor<64xf16>) -> tensor<64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// CHECK: %[[RESHAPE0:.*]] = mhlo.reshape %[[BROADCAST0]] : (tensor<4x4x1xf32>) -> tensor<4x4xf32> // CHECK: %[[UPDATED_ARG0:.*]] = "mhlo.broadcast_in_dim"(%[[RESHAPE0]]) <{broadcast_dimensions = dense<[0, 1]> : tensor<2xi64>}> : (tensor<4x4xf32>) -> tensor<4x4x4xf32> // CHECK: %[[RESHAPE1:.*]] = mhlo.reshape %arg1 : (tensor<4x1x4xf32>) -> tensor<4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// CHECK: %cst = arith.constant dense<0> : tensor<1xi32> // CHECK: %3 = "tfl.reduce_max"(%arg0, %cst) <{keep_dims = false}> : (tensor<4x4xf32>, tensor<1xi32>) -> tensor<4xf32> // CHECK: %4 = "tfl.arg_max"(%arg0, %cst) : (tensor<4x4xf32>, tensor<1xi32>) -> tensor<4xi32> // CHECK: return %3, %4 : tensor<4xf32>, tensor<4xi32> } // CHECK-LABEL: func.func @convert_argmax_bool
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mark_ops_for_outside_compilation.mlir
%2:2 = "tf.RecvTPUEmbeddingActivations"() {_tpu_embedding_layer = "call1", config = "\0A\0B\0C\0D"} : () -> (tensor<2x2xf32>, tensor<4x4xf32>) "tf.SendTPUEmbeddingGradients"(%2#0, %2#1) {_tpu_embedding_layer = "call1", config = "\0A\0B\0C\0D", operandSegmentSizes = array<i32: 2, 0>} : (tensor<2x2xf32>, tensor<4x4xf32>) -> () tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 16:22:32 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%7 = mhlo.add %arg1, %arg2 : tensor<f32> mhlo.return %7 : tensor<f32> }) {window_dimensions = dense<3> : tensor<2xi64>} : (tensor<6x6xf32>, tensor<f32>) -> tensor<4x4xf32> %5 = "mhlo.broadcast_in_dim"(%4) {broadcast_dimensions = dense<[2, 3]> : tensor<2xi64>} : (tensor<4x4xf32>) -> tensor<1x3x4x4xf32> %6 = mhlo.divide %3, %5 : tensor<1x3x4x4xf32> return %6 : tensor<1x3x4x4xf32> } // CHECK-LABEL: func.func @avg_pool2d_1(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0)